Literature DB >> 8930853

Artificial intelligence in medicine: the challenges ahead.

E W Coiera1.   

Abstract

The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence-based practice should provide the right environment for that change.

Mesh:

Year:  1996        PMID: 8930853      PMCID: PMC116321          DOI: 10.1136/jamia.1996.97084510

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  8 in total

1.  A comparison of results of meta-analyses of randomized control trials and recommendations of clinical experts. Treatments for myocardial infarction.

Authors:  E M Antman; J Lau; B Kupelnick; F Mosteller; T C Chalmers
Journal:  JAMA       Date:  1992-07-08       Impact factor: 56.272

Review 2.  European research efforts in medical knowledge-based systems.

Authors:  M Stefanelli
Journal:  Artif Intell Med       Date:  1993-04       Impact factor: 5.326

Review 3.  The adolescence of AI in medicine: will the field come of age in the '90s?

Authors:  E H Shortliffe
Journal:  Artif Intell Med       Date:  1993-04       Impact factor: 5.326

4.  Medical informatics: hiding our light under a bushel, or the Emperor's new clothes?

Authors:  H A Heathfield; J Wyatt
Journal:  Methods Inf Med       Date:  1993-04       Impact factor: 2.176

5.  Rationale for systematic reviews.

Authors:  C D Mulrow
Journal:  BMJ       Date:  1994-09-03

6.  Internist-1, an experimental computer-based diagnostic consultant for general internal medicine.

Authors:  R A Miller; H E Pople; J D Myers
Journal:  N Engl J Med       Date:  1982-08-19       Impact factor: 91.245

7.  A comparison of methods for the automated diagnosis of thyroid dysfunction.

Authors:  R A Nordyke; C A Kulikowski; C W Kulikowski
Journal:  Comput Biomed Res       Date:  1971-08

8.  Randomized clinical trial of pressure-controlled inverse ratio ventilation and extracorporeal CO2 removal for adult respiratory distress syndrome.

Authors:  A H Morris; C J Wallace; R L Menlove; T P Clemmer; J F Orme; L K Weaver; N C Dean; F Thomas; T D East; N L Pace; M R Suchyta; E Beck; M Bombino; D F Sittig; S Böhm; B Hoffmann; H Becks; S Butler; J Pearl; B Rasmusson
Journal:  Am J Respir Crit Care Med       Date:  1994-02       Impact factor: 21.405

  8 in total
  7 in total

1.  An intelligent tele-healthcare environment offering person-centric and wellness-maintenance services.

Authors:  S S Abidi
Journal:  J Med Syst       Date:  2001-06       Impact factor: 4.460

2.  Representation of clinical practice guidelines in conventional and augmented decision tables.

Authors:  R N Shiffman
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

3.  The coming of age of artificial intelligence in medicine.

Authors:  Vimla L Patel; Edward H Shortliffe; Mario Stefanelli; Peter Szolovits; Michael R Berthold; Riccardo Bellazzi; Ameen Abu-Hanna
Journal:  Artif Intell Med       Date:  2008-09-13       Impact factor: 5.326

4.  Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Authors:  Stefanie Jauk; Diether Kramer; Alexander Avian; Andrea Berghold; Werner Leodolter; Stefan Schulz
Journal:  J Med Syst       Date:  2021-03-01       Impact factor: 4.460

5.  Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study.

Authors:  Stina Matthiesen; Søren Zöga Diederichsen; Mikkel Klitzing Hartmann Hansen; Christina Villumsen; Mats Christian Højbjerg Lassen; Peter Karl Jacobsen; Niels Risum; Bo Gregers Winkel; Berit T Philbert; Jesper Hastrup Svendsen; Tariq Osman Andersen
Journal:  JMIR Hum Factors       Date:  2021-11-26

6.  Artificial intelligence-enabled healthcare delivery.

Authors:  Sandeep Reddy; John Fox; Maulik P Purohit
Journal:  J R Soc Med       Date:  2018-12-03       Impact factor: 5.344

Review 7.  Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

Authors:  Joel Weijia Lai; Candice Ke En Ang; U Rajendra Acharya; Kang Hao Cheong
Journal:  Int J Environ Res Public Health       Date:  2021-06-05       Impact factor: 3.390

  7 in total

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