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...
Váldodahkkit: | Vasey, B, Ursprung, S, Beddoe, B, Taylor, EH, Marlow, N, Bilbro, N, Watkinson, P, McCulloch, P |
---|---|
Materiálatiipa: | Journal article |
Giella: | English |
Almmustuhtton: |
American Medical Association
2021
|
Geahča maid
-
Teaching evidence-based decision-making.
Dahkki: Sevdalis, N, et al.
Almmustuhtton: (2006) -
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Dahkki: Vasey, B, et al.
Almmustuhtton: (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
Dahkki: Vasey, B
Almmustuhtton: (2023) -
Clinician-centric diagnosis of rare genetic diseases: performance of a gene pertinence metric in decision support for clinicians
Dahkki: Michael M. Segal, et al.
Almmustuhtton: (2020-07-01) -
How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices
Dahkki: Enrico Coiera, et al.
Almmustuhtton: (2021-03-01)