CN116891890A - Artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis - Google Patents
Artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis Download PDFInfo
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- CN116891890A CN116891890A CN202310853492.8A CN202310853492A CN116891890A CN 116891890 A CN116891890 A CN 116891890A CN 202310853492 A CN202310853492 A CN 202310853492A CN 116891890 A CN116891890 A CN 116891890A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 18
- 208000015181 infectious disease Diseases 0.000 title claims abstract description 14
- 208000035473 Communicable disease Diseases 0.000 title claims abstract description 10
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 21
- 230000001580 bacterial effect Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims abstract description 4
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- 230000003544 deproteinization Effects 0.000 claims description 4
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- 238000012165 high-throughput sequencing Methods 0.000 claims description 4
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- 230000035945 sensitivity Effects 0.000 claims description 4
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- 238000004458 analytical method Methods 0.000 claims description 3
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- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
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- 241000726445 Viroids Species 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
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- 239000002689 soil Substances 0.000 description 1
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Abstract
The invention discloses an artificial intelligent rapid pathogen detection method, which comprises the following steps: step 1: collecting a sample; step 2: preparing a sample; step 3: detecting pathogens in the sample, and determining the types and the quantity of the pathogens; step 4: the detected data are analyzed and processed by using an artificial intelligence algorithm to generate a standardized diagnosis report, which includes information of pathogen types, bacterial/viral numbers, infection conditions and the like. Compared with the prior art, the invention has the advantages that: the artificial intelligent rapid pathogen detection method capable of rapidly judging pathogen information and accurately outputting diagnosis information based on artificial intelligence and application of the method in infectious disease diagnosis are provided.
Description
Technical Field
The invention relates to the technical field of pathogen detection, in particular to an artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis.
Background
Pathogens refer to infectious microorganisms or biological agents, including bacteria, fungi, viruses, viroids, etc., that are capable of causing disease after being transmitted into a host. Food, water sources, soil, etc. can carry pathogens. If people are exposed to pathogen environment for a long time or eat food and water resources polluted by the pathogen, diseases such as gastroenteritis, hepatitis and the like can be caused in the human body.
At present, the detection means of pathogens are conventional detection methods, and after detecting pathogens, infection cannot be rapidly diagnosed, so that subsequent treatment is easily affected.
Disclosure of Invention
The invention aims to overcome the technical defects and provide an artificial intelligent rapid pathogen detection method capable of rapidly judging pathogen information and accurately outputting diagnosis information based on artificial intelligence and application of the method in infectious disease diagnosis.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: an artificial intelligence rapid pathogen detection method comprising the steps of: step 1: collecting a sample; step 2: preparing a sample; step 3: detecting pathogens in the sample, and determining the types and the quantity of the pathogens; step 4: the detected data are analyzed and processed by using an artificial intelligence algorithm to generate a standardized diagnosis report, which includes information of pathogen types, bacterial/viral numbers, infection conditions and the like.
As a modification, in step 1, it is necessary to collect pathogens including blood, urine, respiratory secretions and the like from clinical samples.
In an improvement, in the step 2, the sample preparation includes pretreatment of the collected sample, including centrifugation, ultrasonic treatment, enzymatic digestion, deproteinization and the like of the sample, so as to improve the sensitivity and accuracy of the detection.
As an improvement, the step 3 comprises the steps of determining the pathogen content of the detection sample by means of high-throughput sequencing, mass spectrometry, PCR amplification, sequencing and the like.
In an improvement, in the step 4, result judgment is carried out according to an artificial intelligence algorithm and data information analysis.
Use of an artificial intelligence rapid pathogen detection method in the diagnosis of infectious diseases, comprising using the artificial intelligence rapid pathogen detection method of claims 1-5 for diagnosis of infectious diseases.
As an improvement, the etiology data is collected and processed by utilizing a database and cloud computing.
Compared with the prior art, the invention has the advantages that: the method comprises the steps of collecting etiology data information by using an artificial intelligence technology and adopting a database, comparing a pathogen detection result with the etiology database in real time, outputting accurate diagnosis information, greatly reducing the labor intensity of human beings and increasing the disease diagnosis efficiency.
Detailed Description
The present invention will be described in further detail below.
An artificial intelligence rapid pathogen detection method comprising the steps of: step 1: collecting a sample; step 2: preparing a sample; step 3: detecting pathogens in the sample, and determining the types and the quantity of the pathogens; step 4: the detected data are analyzed and processed by using an artificial intelligence algorithm to generate a standardized diagnosis report, which includes information of pathogen types, bacterial/viral numbers, infection conditions and the like.
In the step 1, pathogens including blood, urine, respiratory tract secretions and the like need to be collected from a clinical sample, in the step 2, sample preparation comprises pretreatment of the collected sample, including centrifugation, ultrasonic treatment, enzymatic digestion, deproteinization and the like of the sample, so as to improve the sensitivity and accuracy of detection, in the step 3, means such as high throughput sequencing, mass spectrometry, PCR amplification, sequencing and the like are included to determine whether the detection sample contains the pathogens, and in the step 4, the result is determined according to an artificial intelligence algorithm in combination with data information analysis.
By utilizing the technologies of a database, cloud computing and the like, a large amount of etiology data can be collected and processed, the speed and accuracy of pathogen detection are effectively improved, and reliable data support is provided for accurate medical treatment.
In the specific implementation of the invention, the information acquisition of the patient, including blood, urine, respiratory tract secretion and the like, the pretreatment of the acquired sample, including centrifugation, ultrasonic treatment, enzymatic digestion, deproteinization and the like of the sample are carried out, so that the sensitivity and accuracy of detection are improved, whether the detected sample contains pathogens or not is determined by means of high throughput sequencing, mass spectrometry, PCR amplification, sequencing and the like, and the output pathogen information is compared and analyzed by an artificial intelligence technology to determine the result.
What is not described in detail in this specification is prior art known to those skilled in the art.
The invention and its embodiments have been described above without limitation. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (7)
1. The artificial intelligence rapid pathogen detection method is characterized in that: the method comprises the following steps:
step 1: collecting a sample;
step 2: preparing a sample;
step 3: detecting pathogens in the sample, and determining the types and the quantity of the pathogens;
step 4: the detected data are analyzed and processed by using an artificial intelligence algorithm to generate a standardized diagnosis report, which includes information of pathogen types, bacterial/viral numbers, infection conditions and the like.
2. The artificial intelligence rapid pathogen detection method of claim 1, wherein: in step 1, pathogens including blood, urine, respiratory secretions and the like need to be collected from clinical samples.
3. The artificial intelligence rapid pathogen detection method of claim 1, wherein: in the step 2, the sample preparation includes pretreatment of the collected sample, including centrifugation, ultrasonic treatment, enzymatic digestion, deproteinization, etc. of the sample, so as to improve the sensitivity and accuracy of the detection.
4. The artificial intelligence rapid pathogen detection method of claim 1, wherein: the step 3 comprises the steps of determining the pathogen content of the detection sample by means of high-throughput sequencing, mass spectrometry, PCR amplification, sequencing and the like.
5. The artificial intelligence rapid pathogen detection method of claim 1, wherein: and in the step 4, the result judgment is carried out according to the artificial intelligence algorithm and the data information analysis.
6. An application of an artificial intelligent rapid pathogen detection method in infectious disease diagnosis is characterized in that: comprising using the artificial intelligence rapid pathogen detection method of claims 1-5 for infectious disease diagnosis.
7. An application of an artificial intelligent rapid pathogen detection method in infectious disease diagnosis is characterized in that: the etiology data is collected and processed by utilizing a database and cloud computing.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310853492.8A CN116891890A (en) | 2023-07-12 | 2023-07-12 | Artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310853492.8A CN116891890A (en) | 2023-07-12 | 2023-07-12 | Artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis |
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| Publication Number | Publication Date |
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| CN116891890A true CN116891890A (en) | 2023-10-17 |
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| CN202310853492.8A Withdrawn CN116891890A (en) | 2023-07-12 | 2023-07-12 | Artificial intelligent rapid pathogen detection method and application thereof in infectious disease diagnosis |
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| CN (1) | CN116891890A (en) |
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- 2023-07-12 CN CN202310853492.8A patent/CN116891890A/en not_active Withdrawn
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Application publication date: 20231017 |