CN115933816A - Lung occupation lesion risk preliminary assessment device based on Internet of things - Google Patents
Lung occupation lesion risk preliminary assessment device based on Internet of things Download PDFInfo
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- CN115933816A CN115933816A CN202211259563.3A CN202211259563A CN115933816A CN 115933816 A CN115933816 A CN 115933816A CN 202211259563 A CN202211259563 A CN 202211259563A CN 115933816 A CN115933816 A CN 115933816A
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Abstract
The invention discloses a lung occupation lesion risk preliminary evaluation device based on the Internet of things, which belongs to the technical field of medical instruments and comprises a main machine body, wherein the main machine body comprises a first part and a second part, the second part is arranged on the rear side of the upper surface of the first part, a movable display device is arranged on the front side of the second part, an input component is arranged on the left side of the upper surface of the first part, a scanning component for scanning CT pictures is arranged on the right side of the upper surface of the first part, and a processing component comprises a central processing unit, a checking module, a cloud storage module, a wireless network transmission module, a deep learning module and a preliminary evaluation module. From this, can carry out the preliminary evaluation of lung occupation pathological change risk to patient's CT image information and judge, in time revise the judgement standard simultaneously to promote the accuracy of judging, also practiced thrift patient's time.
Description
Technical Field
The invention relates to a preliminary assessment device, in particular to a preliminary assessment device for lung space occupying lesion risks based on the Internet of things, and belongs to the technical field of medical instruments.
Background
The space occupying lesion is a term used in medical imaging diagnostics, and generally appears in the examination results of X-ray, B-ultrasonic, CT and the like, and refers to a more tissue part of the examined part, and the CT image comprises four-phase images of a flat scanning phase, an arterial phase, a portal venous phase and a delay phase.
At present, after a patient takes a CT image, the patient needs to be carefully judged by a doctor, and in the process, the patient needs to be subjected to appointment making, queuing and registration, waiting and doctor diagnosis, so that the patient can occupy longer waiting time, and the service quality of a hospital cannot be effectively improved.
Disclosure of Invention
The invention aims to solve the technical problem of providing a lung occupation lesion risk preliminary evaluation device based on the Internet of things, which can realize preliminary evaluation and judgment of lung occupation lesion risk aiming at CT image information of a patient and correct judgment standards in time so as to improve the judgment accuracy and save the time of the patient.
In order to solve the problems, the following technical scheme is provided:
design preliminary evaluation device of lung occupation lesion risk based on thing networking, including the host computer body, the host computer body includes first portion and second part, the second part sets up in the rear side of first portion upper surface, the front side of second part is provided with mobilizable display device, be provided with between second portion and the display device and be used for carrying out the restriction piece that restricts to display device, the left side of first portion upper surface is provided with the input component, the right side of first portion upper surface is provided with the scanning component that is used for carrying out the scanning to the CT picture, the inside of first portion is provided with processing assembly, processing assembly includes central processing unit, checks module, high in the clouds storage module, wireless network transmission module, degree of deep learning module and preliminary evaluation module, central processing unit, check module, degree of deep learning module and preliminary evaluation module form the electricity through the wire and connect, central processing unit passes through wireless network transmission module and high in the clouds storage module wireless connection.
Furthermore, the limiting piece comprises two fixing blocks arranged on the front side of the second portion, the two fixing blocks are rotatably connected with a connecting rod, the connecting rod is fixedly provided with a fixing seat, the fixing seat is fixedly connected with a display device, pressing blocks are arranged on two sides of the connecting rod, rubber pads are fixedly arranged on the front sides of the pressing blocks, an installation cavity is arranged inside the second portion, the rear sides of the pressing blocks extend into the installation cavity, threaded rods are rotatably connected to the left side and the right side of the second portion, one end of each threaded rod extends into the installation cavity and is connected with a moving block in a threaded mode, a first adjusting disc is fixedly arranged at the other end of each threaded rod, two trapezoid pushing blocks are slidably connected to the inner wall of the installation cavity, springs are fixedly arranged between the moving blocks and the trapezoid pushing blocks, and the rear sides of the pressing blocks are provided with inclined planes with the same gradient as the inclined planes of the trapezoid pushing blocks.
Further, the input component includes the bottom plate, the rear side of bottom plate is passed through the hinge and is connected with the upper surface rotation of first portion, the fixed keyboard subassembly that is provided with in right side of bottom plate upper surface, the fixed ID card that is provided with in left side of bottom plate upper surface reads the component, the mounting groove has been seted up to the inside of first portion, and the top of mounting groove inner wall has seted up a plurality of microsclers and has run through the spout, the inner wall sliding connection of mounting groove has the movable plate, the top of movable plate rotates through the pivot and is connected with a plurality of push pedals, one side that the movable plate was kept away from in the push pedal is passed microscler and is run through the spout and be connected through the pivot and the lower surface rotation of bottom plate, movable plate threaded connection has the screw rod, and the one end of screw rod rotates with the inner wall of mounting groove to be connected, and the other end of screw rod stretches out the first portion and fixed adjustment disk two that is provided with.
Further, a placing groove is formed in the front side of the first portion, one side of the inner wall of the placing groove is connected with a seat plate through rotation of a rotating shaft, the cross section of the seat plate is of a U-shaped open structure, an extension plate is sleeved on the inner wall of the seat plate, a limiting through groove is formed in the left side and the right side of the inner wall of the seat plate, a limiting sliding block is connected to the inner wall of the limiting through groove in a sliding mode, the limiting sliding block is connected with the extension plate, the seat plate is extended out of one side of the extension plate, a connecting seat is fixedly arranged on the one side of the extension plate, a supporting plate is connected to the bottom of the connecting seat plate through rotation of the rotating shaft, one side of the top of the supporting plate is of a right-angle structure, and the other side of the top of the supporting plate is of an arc-shaped structure.
Further, the cloud storage module is used for storing image information of the patient for CT scanning in the hospital.
Further, the checking module comprises an information input module for receiving the personal information of the patient, an identification card information reading module for receiving the identification card information read by the identification card reading component, and an information comparison module for comparing the personal information of the patient with the identification card information.
Further, the preliminary evaluation module comprises a picture information receiving module for receiving CT picture information scanned by the scanning component or patient CT image information transmitted by the wireless network transmission module, a picture information processing module for processing the received picture information, a picture information analysis and comparison module for preliminarily judging the processed information, and an analysis result sending module for sending the judgment result to the central processing unit.
Furthermore, the deep learning module comprises a later stage tracing module for tracing the later stage diagnosis result of the patient, a data reconstruction module for comparing and reconstructing the later stage diagnosis result and the judgment result, a data correction module for performing data modification on the judgment result according to the later stage diagnosis result, and a data analysis module for performing secondary analysis on the modified data in combination with the CT image information of the patient.
Compared with the prior art, the invention has the beneficial effects that:
the limitation is adjusted to display device's angle through setting up the locating part, can be applicable to different heights and obtain patient or his family members and watch the assessment result, used to set up the input component, be convenient for patient and family members carry out information input, under the effect of processing module, the identity information of checking patient that can be accurate, be convenient for select patient's CT shooting information, convenient and fast, also be convenient for directly read patient's CT picture information at the scanning component simultaneously, through adopting the degree of deep learning module, can in time revise according to the information of traceing back when judging the error, with the accuracy of the preliminary aassessment in promotion later stage, simultaneously also can effectually reduce the time that the patient registered and queued, hospital's quality of service has been promoted.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a perspective view of a preferred embodiment of the preliminary evaluation device for pulmonary occupancy lesion risk based on the internet of things according to the present invention;
FIG. 2 is a cross-sectional view of a preferred embodiment of the Internet of things-based device for preliminary assessment of lung occupancy lesion risk according to the present invention;
FIG. 3 is a perspective view of a restraint of a preferred embodiment of the Internet of things based device for preliminary assessment of lung occupancy lesion risk in accordance with the present invention;
FIG. 4 is a perspective view of an input member of a preferred embodiment of the Internet of things-based device for preliminary assessment of lung occupancy lesion risk according to the present invention;
FIG. 5 is a partially disassembled view of a preferred embodiment of the device for preliminary assessment of pulmonary occupancy lesion risk based on the Internet of things according to the present invention;
fig. 6 is a processing component system block diagram of a device for preliminary assessment of lung occupancy lesion risk based on the internet of things according to a preferred embodiment of the present invention.
In the figure: 1. a main body; 2. a display device; 3. a processing component; 4. a fixed block; 5. a connecting rod; 6. a fixed seat; 7. a compression block; 8. a mounting cavity; 9. a threaded rod; 10. a moving block; 11. a trapezoidal push block; 12. a spring; 13. a base plate; 14. a keyboard assembly; 15. an identification card reading means; 16. mounting grooves; 17. moving the plate; 18. pushing the plate; 19. a threaded lead screw; 20. a second adjusting plate; 21. a first adjusting plate; 22. a placement groove; 23. a seat plate; 24. an extension plate; 25. a limiting through groove; 26. a limiting slide block; 27. a connecting seat; 28. a support plate; 29. a scanning member.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
As shown in fig. 1 to 6, the preliminary evaluation device for lung occupancy lesion risk based on internet of things according to the present embodiment includes a main body 1, the main body 1 includes a first portion and a second portion, the second portion is disposed at a rear side of an upper surface of the first portion, a movable display device 2 is disposed at a front side of the second portion, a limiting member for limiting the display device 2 is disposed between the second portion and the display device 2, an input member is disposed at a left side of the upper surface of the first portion, a scanning member 29 for scanning a CT picture is disposed at a right side of the upper surface of the first portion, a processing assembly 3 is disposed inside the first portion, the processing assembly 3 includes a central processing unit, a checking module, a cloud storage module, a wireless network transmission module, a deep learning module and a preliminary evaluation module, the central processing unit, the checking module, the deep learning module and the preliminary evaluation module are electrically connected through a conducting wire, the central processing unit is wirelessly connected with the cloud storage module through the wireless network transmission module, the angle of the display device 2 is regulated and limited through the limit piece, the display device is suitable for patients with different heights or families thereof to watch evaluation results, the input component is arranged for facilitating information input of the patients and the families thereof, under the action of the processing component 3, the identity information of the patients can be accurately checked, CT shooting information of the patients can be conveniently selected, the display device is convenient and quick, meanwhile, the scanning component 29 is also convenient for directly reading CT picture information of the patients, by adopting the deep learning module, the display device can be corrected in time according to traced information when judging errors, so as to improve the accuracy of later-stage preliminary evaluation, and simultaneously, the time for registering and queuing of the patients can be effectively reduced, the service quality of the hospital is improved.
The restriction piece is including setting up in two fixed blocks 4 of second part front side, two fixed blocks 4 rotate and are connected with connecting rod 5, connecting rod 5 is fixed and is provided with fixing base 6, and fixing base 6 and display device 2 fixed connection, the both sides of connecting rod 5 all are provided with compact heap 7, the front side of compact heap 7 all is fixed and is provided with the rubber pad, the inside of second part is equipped with installation cavity 8, the rear side of compact heap 7 extends to in installation cavity 8, the left and right sides of second part all rotates connecting threaded rod 9, the one end of threaded rod 9 extends to in installation cavity 8 and threaded connection has movable block 10, the other end of threaded rod 9 is fixed and is provided with adjusting disk 21, the inner wall sliding connection of installation cavity 8 has two trapezoidal ejector shoes 11, all fixed spring 12 that is provided with between movable block 10 and the trapezoidal ejector shoe 11, the rear side of compact heap 7 has the inclined plane with the same gradient of trapezoidal ejector shoe 11 inclined plane, can effectually restrict display device 2's inclination through the structure, also can adjust the pressure between compact heap 7 and connecting rod 5 as required, the effectual long-time restriction ability phenomenon that leads to the appearance that appears to display device 2 because of using ageing result in the fact inadequately.
The input component comprises a bottom plate 13, the rear side of the bottom plate 13 is rotatably connected with the upper surface of the first part through a hinge, a keyboard assembly 14 is fixedly arranged on the right side of the upper surface of the bottom plate 13, an identity card reading component 15 is fixedly arranged on the left side of the upper surface of the bottom plate 13, a mounting groove 16 is formed in the first part, a plurality of long through sliding grooves are formed in the top of the inner wall of the mounting groove 16, a moving plate 17 is slidably connected to the inner wall of the mounting groove 16, a plurality of push plates 18 are rotatably connected to the top of the moving plate 17 through a rotating shaft, one side, far away from the moving plate 17, of each push plate 18 penetrates through the corresponding long through sliding groove and is rotatably connected with the lower surface of the bottom plate 13 through the rotating shaft, a threaded screw rod 19 is threadedly connected to the moving plate 17, one end of the threaded screw rod 19 is rotatably connected with the inner wall of the mounting groove 16, the other end of the threaded screw rod 19 extends out of the first part and is fixedly provided with a second adjusting disc 20, a patient can adjust the inclination of the bottom plate 13 as required, and the patient can operate conveniently.
And the cloud storage module is used for storing image information of CT scanning of a patient in a hospital.
The checking module comprises an information input module for receiving the personal information of the patient, an identification card information reading module for receiving the identification card information read by the identification card reading component 15, and an information comparison module for comparing the personal information of the patient with the identification card information.
The preliminary evaluation module comprises a picture information receiving module for receiving the CT picture information scanned by the scanning component 29 or the patient CT picture information transmitted by the wireless network transmission module, a picture information processing module for processing the received picture information, a picture information analyzing and comparing module for preliminarily judging the processed information, and an analysis result transmitting module for transmitting the judgment result to the central processing unit.
The deep learning module comprises a later stage tracing module for tracing the later stage diagnosis result of the patient, a data reconstruction module for comparing and reconstructing the later stage diagnosis result and the judgment result, a data correction module for modifying the judgment result according to the later stage diagnosis result, and a data analysis module for performing secondary analysis on the modified data by combining the modified data with the CT image information of the patient.
According to the preliminary evaluation device for lung occupation lesion risk based on the internet of things, when the device is used, a patient pulls the support plate 28 and the seat plate 23 out of the placing groove 22 by pulling the handle on the support plate 28 until the right-angle side of the support plate 28 is in writing fit with the surface of the connecting seat 27 and the bottom of the support plate 28 is in contact with the ground, when the seat plate 23 is narrow, the handle on the support plate 28 can be pulled to pull the extension plate 24 out of the seat plate 23 to extend the seating area, then the adjusting disc II 20 is rotated to enable the threaded lead screw 19 to start rotating, the moving plate 17 is driven to start moving under the action of the threads, the bottom plate 13 is jacked up through the matching of the push plate 18 until the keyboard assembly 14 is adjusted to a proper inclination, when the angle of the display device 2 needs to be adjusted, the fixing seat 6 drives the connecting rod 5 to start rotating by pushing the display device 2, the angle of the display device 2 is fixed under the action of the pressing block 7 and the rubber pad, when the display device 2 is loosened, the adjusting disc I21 is rotated to enable the threaded rod 9 to rotate, the moving block 10 is driven to move under the action of the threads to compress the spring 12, the pressure between the pressing block 7 and the connecting rod 5 is adjusted under the action of the elastic force, a patient carries out CT shooting in a hospital and uploads picture or image information to the cloud storage module for storage, when the patient or family members of the patient input the identity information of the patient through the keyboard assembly 14, the information input module in the checking module receives the information of the patient, the identity card information reading module reads the identity card information of the patient through the identity card reading component 15 and transmits the received and read information to the information comparison module, and the information comparison module compares the received and read information with the patient information stored in the central processing unit, when the information is correct, the central processing unit calls CT image information of a patient in the cloud storage module through the wireless network transmission module and transmits the image information to the primary evaluation module, when the CT image information of the patient is not stored in the cloud storage module, the patient can place a CT picture on the scanning component 29, the CT picture information scanned by the scanning component 29 or the transmitted CT image information is received through the picture information receiving module, then the picture information processing module processes the picture information to divide suspected lesion positions in the picture information, then the divided information is transmitted to the picture information analysis and comparison module, the picture information analysis and comparison module compares the divided information with case related information input in the early stage to perform primary risk evaluation on lung occupation lesions of the patient, the analysis result sending module transmits the risk evaluation result to the central processing unit for storage, the central processing unit transmits the risk evaluation result to the display device 2 for display, when the probability of the risk evaluation is higher, the patient needs to find a doctor to perform diagnosis and sends the diagnosis result to the cloud storage module for storage, the later-stage patient diagnosis result is subjected to perform real-time evaluation, and the diagnosis result is corrected, and the patient is subjected to perform secondary risk analysis and correction on the diagnosis result, and the patient, when the probability of the diagnosis result is different, the diagnosis result is corrected, and the patient is corrected in combination with the secondary evaluation data, and the diagnosis result, and the patient.
In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention. In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The preliminary evaluation device of lung occupation lesion risk based on the internet of things comprises a main machine body (1) and is characterized in that the main machine body (1) comprises a first portion and a second portion, the second portion is arranged on the rear side of the upper surface of the first portion, a movable display device (2) is arranged on the front side of the second portion, a limiting part used for limiting the display device (2) is arranged between the second portion and the display device (2), an input component is arranged on the left side of the upper surface of the first portion, a scanning component (29) used for scanning CT pictures is arranged on the right side of the upper surface of the first portion, a processing component (3) is arranged inside the first portion, the processing component (3) comprises a central processing unit, a checking module, a cloud storage module, a wireless network transmission module, a deep learning module and a preliminary evaluation module, the central processing unit, the checking module, the deep learning module and the preliminary evaluation module are electrically connected through wires, and the central processing unit is wirelessly connected with the cloud storage module through the wireless network transmission module.
2. The preliminary evaluation device of lung occupation lesion risk based on the internet of things of claim 1, wherein the limiting member comprises two fixed blocks (4) arranged on the front side of the second portion, the two fixed blocks (4) are rotatably connected with a connecting rod (5), the connecting rod (5) is fixedly provided with a fixed seat (6), the fixed seat (6) is fixedly connected with the display device (2), the two sides of the connecting rod (5) are respectively provided with a pressing block (7), the front side of the pressing block (7) is respectively and fixedly provided with a rubber pad, the second portion is internally provided with an installation cavity (8), the rear side of the pressing block (7) extends into the installation cavity (8), the left side and the right side of the second portion are respectively and rotatably connected with a threaded rod (9), one end of the threaded rod (9) extends into the installation cavity (8) and is in threaded connection with a moving block (10), the other end of the threaded rod (9) is fixedly provided with a first adjusting disc (21), the inner wall of the installation cavity (8) is slidably connected with two trapezoidal push blocks (11), springs (12) are respectively and the inclined planes of the pressing block (7) are the same as the inclined plane (11).
3. The preliminary evaluation device of lung occupation lesion risk based on internet of things of claim 1, characterized in that the input member includes a bottom plate (13), the rear side of bottom plate (13) is connected with the upper surface of first portion through hinge rotation, the fixed keyboard subassembly (14) that is provided with in right side of bottom plate (13) upper surface, the fixed ID card that is provided with in left side of bottom plate (13) upper surface reads component (15), mounting groove (16) have been seted up to the inside of first portion, and the top of mounting groove (16) inner wall has seted up a plurality of microscler through-sliding grooves, the inner wall sliding connection of mounting groove (16) has movable plate (17), the top of movable plate (17) rotates through the pivot and is connected with a plurality of push pedal (18), one side that movable plate (17) were kept away from to push pedal (18) passes microscler through-sliding groove and is connected with the lower surface rotation of bottom plate (13) through the pivot, movable plate (17) threaded screw rod (19) threaded screw rod's one end rotates with the inner wall of mounting groove (16) and threaded rod (19) and the other end stretches out of first portion and is provided with adjustment disk (20) fixedly.
4. The preliminary evaluation device of lung occupation lesion risk based on internet of things of claim 1, characterized in that a placement groove (22) is opened to the front side of the first portion, one side of the inner wall of placement groove (22) is rotationally connected with a seat plate (23) through a rotating shaft, the cross section of seat plate (23) is of a U-shaped open type structure, an extension plate (24) is sleeved on the inner wall of seat plate (23), spacing through grooves (25) are opened on the left and right sides of the inner wall of seat plate (23), spacing through grooves (25) are slidably connected with spacing sliders (26) on the inner wall of spacing through grooves (25), spacing sliders (26) are connected with extension plate (24), seat plate (23) is extended from one side of extension plate (24) and fixedly provided with connecting seat (27), the bottom of connecting seat (27) is rotationally connected with support plate (28) through a rotating shaft, one side of the top of support plate (28) is of a right-angle structure, and the other side of the top of support plate (28) is of an arc-shaped structure.
5. The device of claim 1, wherein the cloud storage module is configured to store image information of a patient undergoing a CT scan in a hospital.
6. The device for preliminary assessment of pulmonary occupancy lesion risk based on the internet of things as claimed in claim 5, wherein the checking module comprises an information input module for receiving personal information of the patient, an identification card information reading module for receiving identification card information read by the identification card reading means (15), and an information comparison module for comparing the personal information and the identification card information of the patient.
7. The Internet of things-based device for preliminarily evaluating the risk of pulmonary occupancy lesion according to claim 6, wherein the preliminary evaluation module comprises a picture information receiving module for receiving CT picture information scanned by the scanning component (29) or CT image information of the patient transmitted by the wireless network transmission module, a picture information processing module for processing the received picture information, a picture information analyzing and comparing module for preliminarily judging the processed information, and an analysis result sending module for sending the judgment result to the central processing unit.
8. The device for preliminary assessment of pulmonary occupancy lesion risk based on the internet of things of claim 7, wherein the deep learning module comprises a later stage tracing module for tracing the later stage diagnosis result of the patient, a data reconstruction module for comparing and reconstructing the later stage diagnosis result and the judgment result, a data correction module for performing data modification on the judgment result according to the later stage diagnosis result, and a data analysis module for performing secondary analysis on the modified data in combination with CT image information of the patient.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211259563.3A CN115933816A (en) | 2022-10-14 | 2022-10-14 | Lung occupation lesion risk preliminary assessment device based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211259563.3A CN115933816A (en) | 2022-10-14 | 2022-10-14 | Lung occupation lesion risk preliminary assessment device based on Internet of things |
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| CN115933816A true CN115933816A (en) | 2023-04-07 |
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| CN202211259563.3A Pending CN115933816A (en) | 2022-10-14 | 2022-10-14 | Lung occupation lesion risk preliminary assessment device based on Internet of things |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108550395A (en) * | 2018-04-17 | 2018-09-18 | 高西杰 | A kind of fast medical image processor |
| CN111402984A (en) * | 2020-02-13 | 2020-07-10 | 上海杏脉信息科技有限公司 | Lung disease remote diagnosis system |
| CN113610829A (en) * | 2021-08-17 | 2021-11-05 | 大连大学附属中山医院 | System for screening pulmonary nodules based on artificial intelligence detection |
| EP3915479A1 (en) * | 2020-05-27 | 2021-12-01 | Canon Medical Systems Corporation | Positron emission tomography apparatus, method and computer-readable storage medium |
| CN115003223A (en) * | 2020-01-17 | 2022-09-02 | 普罗朗公司,以艾奥尼克科学名义营业 | Non-invasive medical diagnosis using electrical impedance measurements and clinical predictors |
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2022
- 2022-10-14 CN CN202211259563.3A patent/CN115933816A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108550395A (en) * | 2018-04-17 | 2018-09-18 | 高西杰 | A kind of fast medical image processor |
| CN115003223A (en) * | 2020-01-17 | 2022-09-02 | 普罗朗公司,以艾奥尼克科学名义营业 | Non-invasive medical diagnosis using electrical impedance measurements and clinical predictors |
| CN111402984A (en) * | 2020-02-13 | 2020-07-10 | 上海杏脉信息科技有限公司 | Lung disease remote diagnosis system |
| EP3915479A1 (en) * | 2020-05-27 | 2021-12-01 | Canon Medical Systems Corporation | Positron emission tomography apparatus, method and computer-readable storage medium |
| CN113610829A (en) * | 2021-08-17 | 2021-11-05 | 大连大学附属中山医院 | System for screening pulmonary nodules based on artificial intelligence detection |
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