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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

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
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

January 31, 2026January 31, 2026
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Tag: algorithms

Healthcare AI News 8/30/23 – HIStalk

Healthcare AI News 8/30/23 – HIStalk

August 30, 2023August 31, 2023HIStalk

News

OpenAI releases an enterprise version of ChatGPT that features enhanced security, privacy, and speed. The product overlaps the offerings of the company’s investor Microsoft, which provides a similar offering as part of Azure. The…

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Using AI to measure Parkinson’s disease severity at home

Using AI to measure Parkinson’s disease severity at home

August 23, 2023August 24, 2023npj Digital Medicine

We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson’s disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front…

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CathAI: fully automated coronary angiography interpretation and stenosis estimation

CathAI: fully automated coronary angiography interpretation and stenosis estimation

August 11, 2023August 12, 2023npj Digital Medicine

Coronary angiography is the primary procedure for diagnosis and management decisions in coronary artery disease (CAD), but ad-hoc visual assessment of angiograms has high variability. Here we report a fully automated approach to interpret…

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Nourish Care integrates with Ally acoustic monitoring

Nourish Care integrates with Ally acoustic monitoring

August 7, 2023August 7, 2023Digital Health

Nourish Care will now be able to monitor its patients, thanks to an integration with Ally, which will use sound and motion detectors.The Ally acoustic monitoring systems analyses sound and motion from within a…

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Bringing AI-Assisted Cardiology into the Future - Mayo Clinic Platform

Bringing AI-Assisted Cardiology into the Future – Mayo Clinic Platform

August 4, 2023August 4, 2023Digital Health Frontier

Machine learning-based algorithms can now be used to help detect atrial fibrillation, asymptomatic left ventricular systolic dysfunction, and cardiac amyloidosis. Even more digital diagnostic tools are on the drawing board.

By John Halamka, M.D., President,…

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Phreesia Acquires MediFind, Reinforcing its Commitment to Patient-Centered Care and Expanding its Offerings to Consumers | Healthcare IT Today

Phreesia Acquires MediFind, Reinforcing its Commitment to Patient-Centered Care and Expanding its Offerings to Consumers | Healthcare IT Today

August 3, 2023August 3, 2023Healthcare IT Today

Phreesia, a leader in patient intake, outreach, and activation, is pleased to announce it has acquired Comsort, Inc. d/b/a MediFind (MediFind), a health technology company that uses advanced analytics to help patients—especially those with…

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AI Algorithm Utilizes Body Measurements to Forecast Mortality

AI Algorithm Utilizes Body Measurements to Forecast Mortality

August 2, 2023August 3, 2023DistilINFO Hospital IT

AI algorithms utilizing body measurements predict lung cancer, CVD, and all-cause mortality. Researchers analyzed CT chest scans, showing AI-obtained body composition measurements improved lung cancer death and all-cause mortality prediction. Another study used AI…

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UMich Implements AI-Based System to Cut Healthcare Costs and Protect Patients

UMich Implements AI-Based System to Cut Healthcare Costs and Protect Patients

August 2, 2023August 3, 2023DistilINFO Hospital IT

UMich deploys an AI-based system to combat fraud, waste, and abuse in healthcare, reducing costs and safeguarding patients. Dr. Mohammed Saeed highlights AI tools’ potential to improve provider practices, preventing inappropriate care. Health at…

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5 Questions about Generative AI in Healthcare

5 Questions about Generative AI in Healthcare

July 31, 2023August 1, 2023HealthTech Magazine

3. How Does Generative AI Differ from Other AI/ML Solutions?
Generative AI is distinct from other AI solutions that simply find the requested information from many sources. In contrast, generative AI creates the content based…

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Healthwords artificial intelligence platform launched by Clinova

Healthwords artificial intelligence platform launched by Clinova

July 31, 2023August 1, 2023Digital Health

Clinova has launched Healthwords, a new generative AI health platform, with the world’s first conversational AI tools that are solely focused on delivering healthcare advice.The tool aims to transform the self-care industry and in…

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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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