WO2001095253A3 - Quality and safety assurance of medical applications - Google Patents

Quality and safety assurance of medical applications Download PDF

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Publication number
WO2001095253A3
WO2001095253A3 PCT/DK2001/000396 DK0100396W WO0195253A3 WO 2001095253 A3 WO2001095253 A3 WO 2001095253A3 DK 0100396 W DK0100396 W DK 0100396W WO 0195253 A3 WO0195253 A3 WO 0195253A3
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WO
WIPO (PCT)
Prior art keywords
treatment
applications
pattern
diagnosis
present
Prior art date
Application number
PCT/DK2001/000396
Other languages
French (fr)
Other versions
WO2001095253A2 (en
Inventor
Peter Michael Nielsen
Jan Larsen
Original Assignee
Medimage Aps
Peter Michael Nielsen
Jan Larsen
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Medimage Aps, Peter Michael Nielsen, Jan Larsen filed Critical Medimage Aps
Priority to AU2001263784A priority Critical patent/AU2001263784A1/en
Publication of WO2001095253A2 publication Critical patent/WO2001095253A2/en
Publication of WO2001095253A3 publication Critical patent/WO2001095253A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/047Probabilistic or stochastic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The present invention relates in a broad aspect to assurance of quality and safety of medical applications determining - or suggesting - diagnosis and/or treatment. In general, such applications are according to the present invention applications which are designed to operate without assistance of a medical adviser in daily use and accordingly these applications must be supervised in some sense in order to be able to guarantee that diagnoses and/or treatments determined by these applications are not determined in a manner that patients are exposed to life threatening treatment due to malfunctioning of these applications. In the general perspective according to the present invention, treatment is suggested based on a diagnosis and a diagnosis is viewed upon as recognition of a pattern. For instance, a diagnosis is the result of recognition of a pattern of antibody substances in a sample taken from the tissue of a patient. Furthermore, the term diagnosis has been given a broad interpretation in the present content so as to include - and/or even be- determination of treatment. The philosophy behind such an approach is that the determination of a treatment is according to the present invention based on determination of a pattern. For instance in case of the prescription of a drug preventing attacks of Multiple Sclerosis, a measured blood sample may be analyzed for patterns of matter in the sample and once a pattern is recognized the treatment assigned to said pattern is the treatment suggested.
PCT/DK2001/000396 2000-06-09 2001-06-08 Quality and safety assurance of medical applications WO2001095253A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2001263784A AU2001263784A1 (en) 2000-06-09 2001-06-08 Quality and safety assurance of medical applications

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DKPA200000897 2000-06-09
DKPA200000897 2000-06-09

Publications (2)

Publication Number Publication Date
WO2001095253A2 WO2001095253A2 (en) 2001-12-13
WO2001095253A3 true WO2001095253A3 (en) 2002-05-10

Family

ID=8159550

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DK2001/000396 WO2001095253A2 (en) 2000-06-09 2001-06-08 Quality and safety assurance of medical applications

Country Status (2)

Country Link
AU (1) AU2001263784A1 (en)
WO (1) WO2001095253A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114678117B (en) * 2022-05-26 2022-08-02 成都与睿创新科技有限公司 Management method and device for standardizing operating behaviors of operating room personnel

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1991018364A1 (en) * 1990-05-21 1991-11-28 Board Of Regents, The University Of Texas System Method for predicting the future occurrence of clinically occult or non-existent medical conditions
US5214715A (en) * 1991-01-31 1993-05-25 Trustees Of Boston University Predictive self-organizing neural network
US5689632A (en) * 1994-06-14 1997-11-18 Commissariat A L'energie Atomique Computing unit having a plurality of redundant computers
US5937202A (en) * 1993-02-11 1999-08-10 3-D Computing, Inc. High-speed, parallel, processor architecture for front-end electronics, based on a single type of ASIC, and method use thereof

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1991018364A1 (en) * 1990-05-21 1991-11-28 Board Of Regents, The University Of Texas System Method for predicting the future occurrence of clinically occult or non-existent medical conditions
US5214715A (en) * 1991-01-31 1993-05-25 Trustees Of Boston University Predictive self-organizing neural network
US5937202A (en) * 1993-02-11 1999-08-10 3-D Computing, Inc. High-speed, parallel, processor architecture for front-end electronics, based on a single type of ASIC, and method use thereof
US5689632A (en) * 1994-06-14 1997-11-18 Commissariat A L'energie Atomique Computing unit having a plurality of redundant computers

Also Published As

Publication number Publication date
WO2001095253A2 (en) 2001-12-13
AU2001263784A1 (en) 2001-12-17

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