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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: Learning

Microsoft, Canary Speech partner to advance AI-enabled speech analysis

Microsoft, Canary Speech partner to advance AI-enabled speech analysis

May 25, 2023May 26, 2023MobiHealthNews

Canary Speech, maker of speech analysis software, is partnering with Microsoft to apply the tech giant’s AI technology to expand its machine learning speech models for healthcare.Canary offers vocal biomarker technology that captures and…

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Learning by Listening: A Winning Formula for The Health Management Academy | Healthcare IT Today

Learning by Listening: A Winning Formula for The Health Management Academy | Healthcare IT Today

May 25, 2023May 27, 2023Healthcare IT Today

The Health Management Academy is a hidden gem. For years they have been bringing together leaders from healthcare providers and industry innovators in small group meetings. The smaller event format makes it easier to…

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NVIDIA AI integrates with Microsoft Azure machine learning

NVIDIA AI integrates with Microsoft Azure machine learning

May 25, 2023May 27, 2023Healthcare IT news

NVIDIA AI Enterprise, available on the Microsoft Azure Marketplace, announced this week that it has expanded support for secure development and deployment of artificial intelligence with a new Azure Machine Learning integration that could…

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Model Leverages Wearable Data for Mental Health Diagnosis

Model Leverages Wearable Data for Mental Health Diagnosis

May 25, 2023May 26, 2023mHealth Intelligence

By Mark Melchionna

May 25, 2023 – Known as WearNet, a new deep-learning model created by researchers from Washington University in St. Louis uses data from the Fitbit activity tracker to gain insights into an individual’s…

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How AI Can Eliminate Surprise Bills, Improve Payment Integrity

How AI Can Eliminate Surprise Bills, Improve Payment Integrity

May 25, 2023May 25, 2023HIT Consultant

Michael Kim, Senior Vice President/CIO, MultiPlan

Anyone who receives a hospital, medical imaging, or outpatient surgery bill is usually surprised at the cost. 

No matter the cost, how do they know the bill is correct? They…

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RCM: Denials Management Named Most Time-Consuming Task

RCM: Denials Management Named Most Time-Consuming Task

May 24, 2023May 25, 2023HIT Consultant

What You Should Know:

A new HFMA survey commissioned by AKASA highlights the revenue cycle tasks requiring the most subject matter expertise, according to responses from over 550 CFOs and revenue cycle leaders at hospitals and health systems across the…

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Head-Worn Device Leverages ML, MEG, Distinguishes Between Hand Gestures

Head-Worn Device Leverages ML, MEG, Distinguishes Between Hand Gestures

May 23, 2023May 25, 2023Health IT Analytics

By Mark Melchionna

May 23, 2023 – Research from the University of California San Diego described a head-worn wearable device that leverages machine learning and a noninvasive brain imaging technique called magnetoencephalography (MEG) that could help…

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SNU researchers develop AI for sleep apnea diagnosis

SNU researchers develop AI for sleep apnea diagnosis

May 23, 2023May 24, 2023MobiHealthNews

A new AI model for diagnosing sleep apnea has been developed by a research team at Seoul National University Bundang Hospital.The deep learning model analyses cephalograms, focusing on the tongue and its surrounding structures,…

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Curbside Consult with Dr. Jayne 5/22/23 – HIStalk

Curbside Consult with Dr. Jayne 5/22/23 – HIStalk

May 22, 2023May 24, 2023HIStalk

I’m a big fan of experiential learning, especially after having just finished teaching some Outdoor Classroom sessions for a local youth organization. It’s great to see people use the skills you’re teaching as they…

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Laser-Based Breath Analysis Detects COVID-19 Infection |

Laser-Based Breath Analysis Detects COVID-19 Infection |

May 22, 2023May 23, 2023Medgadget

Researchers at the University of Colorado at Boulder and the National Institute of Standards and Technology (NIST) have developed a laser-based breathalyzer technology that can detect molecules in breath samples that indicate the presence…

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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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