aceMedical AI: are Osler's principles lost in translation?
Artificial intelligence (AI) is poised to transform clinical practice, but its adoption coincides with a longstanding decline in bedside medicine. Herein, we argue that reintroducing Oslerian principles into medical training may be essential to ensure that technological progress does not come at the expense of the physician-patient relationship. Throughout, we use the term AI to refer to tools built on algorithms, from risk calculators and predictive models to large language models, that produce predictions, cla…
Where AI tools are deployed carelessly in clinics, physicians may decide on treatment from algorithmic outputs before examining the patient, deepening an existing decline in bedside medicine.
The piece is an argumentative perspective rather than a study, and its warnings about AI deepening the loss of bedside medicine are framed as likelihoods, not measured results.
Evidence
- Peer-reviewedFrontiers in Medicine2026-10-22
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Truvace Impact Record TRV-2026-2181, v1: “Medical AI: are Osler's principles lost in translation?.” Truvace, 2026-10-22. /record/TRV-2026-2181 (accessed at citation time). sha256 d8f7f427cd763dff…
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