Narrow Results Clear All
Search results for "Cognitive Errors ("Mistakes")"
Journal Article > Study
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.
Tschandl P, Codella N, Akay BN, et al. Lancet Oncol. 2019 Jun 11; [Epub ahead of print].
Machine learning may have the potential to improve clinical decision-making and diagnosis. In this study, machine-learning algorithms generally performed better than human experts in accurately diagnosing 7 types of pigmented skin lesions and the top 3 algorithms performed better than the 27 physicians.
Journal Article > Review
Mamede S, Schmidt HG, Rikers R. J Eval Clin Pract. 2007;13:138-145.
The authors discuss the relationship between diagnostic errors and doctors' ability to critically reflect on their professional reasoning.