Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy.

Journal: Scandinavian journal of primary health care
Published Date:

Abstract

OBJECTIVE: Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The aim of this study was to evaluate the diagnostic accuracy of an ML classifier on primary headache diagnoses in PHC, compare its performance to GPs, and examine the most impactful signs and symptoms when making a prediction.

Authors

  • Steindor Ellertsson
    Primary Health Care Service of the Capital Area, Reykjavik, Iceland.
  • Hrafn Loftsson
    Department of Computer Science, Reykjavik University, Reykjavik, Iceland.
  • Emil L Sigurdsson
    Primary Health Care Service of the Capital Area, Reykjavik, Iceland.