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Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests

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Minimal Clinically Important Difference of Average Daily Steps Measured Through a Consumer Smartwatch in People With Mild-to-Moderate Parkinson Disease: Cross-Sectional Study

Minimal Clinically Important Difference of Average Daily Steps Measured Through a Consumer Smartwatch in People With Mild-to-Moderate Parkinson Disease: Cross-Sectional Study

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AI and Cybersecurity: The Benefits and Concerns for Healthcare

AI and Cybersecurity: The Benefits and Concerns for Healthcare

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Tag: Cancer LLM

One Year Later: Lessons on AI Support for Cancer Care | Healthcare IT Today

One Year Later: Lessons on AI Support for Cancer Care | Healthcare IT Today

May 15, 2024May 15, 2024Healthcare IT Today

The following is a guest article by Dr. Daniel Vorobiof, Chief Medical Director at Belong.Life
The integration of artificial intelligence (AI) in oncology care has allowed for unprecedented levels of support and guidance for cancer…

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Quotes

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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