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Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations

Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations

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Osteoarthritis progression pattern based on patient specific characteristics using machine learning

Osteoarthritis progression pattern based on patient specific characteristics using machine learning

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Curbside Consult with Dr. Jayne 7/21/25

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Tag: Population and Public Health, Analytics, AI, Predictive analytics, Workflow, Emerging Technologies, Machine learning, Care, Data and Information, Process, Technology

AI roundup: News from Mayo Clinic, Google Cloud and more

AI roundup: News from Mayo Clinic, Google Cloud and more

January 14, 2025January 15, 2025Healthcare IT news

This week Abridge announced that its artificial intelligence listening documentation platform will be distributed more broadly at Mayo Clinic to improve patient care following the health system’s evaluation. The use of Google’s and other’s…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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