Association of clinician diagnostic performance with machine learning-based decision support systems: a systematic review
<p><strong>Importance:</strong> An increasing number of machine learning (ML)-based clinical decision support systems (CDSSs) are described in the medical literature, but this research focuses almost entirely on comparing CDSS directly with clinicians (human vs computer). Little is...
主要な著者: | Vasey, B, Ursprung, S, Beddoe, B, Taylor, EH, Marlow, N, Bilbro, N, Watkinson, P, McCulloch, P |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
American Medical Association
2021
|
類似資料
-
Teaching evidence-based decision-making.
著者:: Sevdalis, N, 等
出版事項: (2006) -
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
著者:: Vasey, B, 等
出版事項: (2022) -
Early development of decision support systems based on artificial intelligence: an application to postoperative complications and a cross-specialty reporting guideline for early-stage clinical evaluation
著者:: Vasey, B
出版事項: (2023) -
Clinician-centric diagnosis of rare genetic diseases: performance of a gene pertinence metric in decision support for clinicians
著者:: Michael M. Segal, 等
出版事項: (2020-07-01) -
How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices
著者:: Enrico Coiera, 等
出版事項: (2021-03-01)