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Machine Learning–Based Audiovisual Phenotyping for Measuring Communication, Shared Decision-Making, and Trust

AbstractMachine learning–based audiovisual phenotyping can reveal hidden discrepancies between patients’ self-reported experiences and nonverbal expressions, offering a promising tool for objectively assessing communication quality and advancing health equity.

Uloženo v:
Hlavní autoři: Shely Khaikin, Vineet Tiruvadi, Jeffrey Brooks, Alice Baird, Anne-Catherine Grela-Mpoko, Lindsey Hoffman, Jadyn Crossley, Menachem Leasy, Jaime Fineman, Margot Savoy, Laura Igarabuza, Anuradha Paranjape, Cheryl YS Foo, Michael L Birnbaum, Yaara Zisman-Ilani
Médium: Artigo
Jazyk:Inglês
Vydáno: JMIR Publications 2026-03-01
Edice:JMIR Formative Research
On-line přístup:https://formative.jmir.org/2026/1/e85906
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