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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

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Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

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Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

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Tag: parkinson’s disease

OM1 Launches Parkinson’s Disease Real-World Datasets

OM1 Launches Parkinson’s Disease Real-World Datasets

September 7, 2023September 8, 2023HIT Consultant

What You Should Know:

Today, OM1 announced the launch of its Parkinson’s Disease datasets, enhancing its Mental Health & Neuroscience Real-World Data Network.OM1’s Mental Health & Neuroscience Real-World Data Network, which already includes robust datasets focused on Major…

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AI-driven eye scans detect signs of Parkinson's disease early on

AI-driven eye scans detect signs of Parkinson’s disease early on

August 24, 2023August 25, 2023Healthcare IT news

Researchers at Moorfields Eye Hospital and the University College London have used artificial intelligence technology to pinpoint markers within eye scans and identify the existence of Parkinson’s disease an average of seven years before…

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Roundup: Parkinson's app uses metronome beats to improve walking and more briefs

Roundup: Parkinson’s app uses metronome beats to improve walking and more briefs

August 18, 2023August 18, 2023MobiHealthNews

New Parkinson’s app uses metronome beats to train gait A new mobile app for people with Parkinson’s Disease helps them walk better using metronome beats. 
The gait re-training tool, developed as part of a larger clinical trial…

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Michael J. Fox Foundation, data company H1 partner for Parkinson's Research

Michael J. Fox Foundation, data company H1 partner for Parkinson’s Research

May 24, 2023May 25, 2023MobiHealthNews

The Michael J. Fox Foundation (MJFF) has announced a partnership with New York-based H1, a healthcare data company, to streamline its search for physicians actively treating Parkinson’s disease patients and gather information on patient…

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Roundup: New AI tools predict Parkinson's onset, heart attack risk after surgery and more briefs

Roundup: New AI tools predict Parkinson’s onset, heart attack risk after surgery and more briefs

May 12, 2023May 12, 2023MobiHealthNews

ML tool predicts Parkinson’s onsetA research team from the University of New South Wales, together with their collaborators from Boston University, has come up with an AI tool that could be potentially used to…

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h2o Therapeutics, AmerisourceBergen partner on Parkinson's disease app

h2o Therapeutics, AmerisourceBergen partner on Parkinson’s disease app

May 1, 2023May 2, 2023MobiHealthNews

h2o Therapeutics, a digital health company that develops AI, augmented reality and mobile-based therapeutics, is partnering with global healthcare company AmerisourceBergen to commercialize its Parkinson’s disease-focused offering dubbed Parky.Parky, which received 510(k) clearance last…

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Digital Tech Spotlight: Using predictive analytics to make care smarter

Digital Tech Spotlight: Using predictive analytics to make care smarter

April 26, 2023April 26, 2023Digital Health

Monitoring apps for frail adults are increasingly popular as more elderly people and those living with disabilities seek to remain in their homes and social care remains under increasing pressure due to staff shortages. …

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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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