"AI is no longer the future of healthcare; it's already reshaping how patients are diagnosed and treated. Some of the most interesting developments involve systems that sense and respond to human emotion. Cedars-Sinai's Connect platform, for example, adapts care based on patient sentiment; CompanionMx interprets vocal and facial cues to detect anxiety; and Feel Therapeutics uses emotion-sensing wearables to tailor interventions in real time."
"A SHIFT TO AI ADAPTATION All of this points to a bigger shift from AI that automates tasks to AI that adapts. Traditional AI sped up paperwork and crunched data. Adaptive AI helps clinicians make better judgments, understand patients more deeply, and respond in context. You can already see this shift in breast cancer screening, genomics, and drug discovery, where high quality data and constant validation are driving real progress."
Emotion-sensing systems adapt care based on patient sentiment, interpret vocal and facial cues to detect anxiety, and use wearables to tailor interventions in real time. Hospitals pair large language models with AI note-taking apps that listen, summarize, and respond to doctor-patient conversations, and investment in medical scribing reached about $800 million last year. The field is shifting from task-automating AI to adaptive AI that enhances clinician judgment, personalizes care, and responds to context. Success depends on building systems that fit patient needs, clinician workflows, and diverse populations, while addressing biases that undercount symptoms in women and minorities.
Read at Fast Company
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