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Beyond overconfidence: Embedding curiosity and humility for ethical medical AI.

Contemporary medical AI systems exhibit a critical vulnerability: they deliver confident predictions without mechanisms to express uncertainty or acknowledge limitations, leading to dangerous overreliance in clinical settings. This paper introduces the BODHI (Bridging, Open, Discerning, Humble, Inqu...

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Hlavní autoři: Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi, Roben Delos Reyes, Justin Engelmann, Ari Ercole, Almog Hilel, Mahima Kalla, Leo Kinyera, Maximin Lange, Torleif Markussen Lunde, Mackenzie J Meni, Anna E Premo, Jana Sedlakova
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science (PLoS) 2026-01-01
Edice:PLOS Digital Health
On-line přístup:https://doi.org/10.1371/journal.pdig.0001013
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