Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI.
- DOI
- 10.1016/j.ijmedinf.2026.106538
- Published
- 2026 Oct
- Container
- International journal of medical informatics
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2026.106538,
title = {Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI.},
author = {Cabitza F and Jurman G and Molinari F and Bellazzi R},
year = {2026},
journal = {International journal of medical informatics},
doi = {10.1016/j.ijmedinf.2026.106538},
url = {https://doi.org/10.1016/j.ijmedinf.2026.106538}
}RIS
TY - JOUR TI - Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI. AU - Cabitza F AU - Jurman G AU - Molinari F AU - Bellazzi R PY - 2026 JO - International journal of medical informatics DO - 10.1016/j.ijmedinf.2026.106538 UR - https://doi.org/10.1016/j.ijmedinf.2026.106538 ER -
APA
F, C., G, J., F, M., & R, B. (2026). Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AI.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2026.106538
Source records
- pubmed · retrieved 2026-09-26T08:38:14.014Z
- europe-pmc · retrieved 2026-09-26T08:38:14.019Z