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Machine learning and artificial intelligence re- search for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

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Correction Crossref 2 open · 2 total · 0 disputed

DOI: 10.1136/bmj.l6927
Notice DOI: 10.1136/bmj.q2390
Event date: 2024-10-28
Machine twin: JSON

01Notices on this DOI

Correction Crossref · 2024-10-28
Correction Crossref · 2020-04-01

02One-hop citing occurrences

Correction Open

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care

ref [2] · 2502.02109 · notice #9356 · dispute

Raw extraction · bibliography line

V ollmer, S.et al. Machine learning and artificial intelligence re- search for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ 368, l6927, DOI: 10.1136/bmj.l6927 (2020)

Correction Open

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care

ref [2] · 2502.02109 · notice #9352 · dispute

Raw extraction · bibliography line

V ollmer, S.et al. Machine learning and artificial intelligence re- search for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ 368, l6927, DOI: 10.1136/bmj.l6927 (2020)

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