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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

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

September 12, 2023September 12, 2023npj Digital Medicine

The electrocardiogram (ECG) is the most frequently performed cardiovascular diagnostic test, but it is unclear how much information resting ECGs contain about long term cardiovascular risk. Here we report that a deep convolutional neural…

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The State of the Healthcare Employee Experience 2023 - Report

The State of the Healthcare Employee Experience 2023 – Report

September 11, 2023September 12, 2023HIT Consultant

What You Should Know:  – Nurses with managers who support their development are 10.6X more likely to stay in their job, according to a new study by  Perceptyx, the employee listening and manager effectiveness…

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SOAP Health, AESOP Technology collaborate on AI platform and more digital health partnerships

SOAP Health, AESOP Technology collaborate on AI platform and more digital health partnerships

September 7, 2023September 8, 2023MobiHealthNews

Taiwanese medical AI startup AESOP Technology announced it is collaborating with conversational and generative AI platform SOAP Health to create a new platform dubbed Precision Patient Profiles, which merges the two organizations’ technologies to…

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HTD Health Launches Healthcare AI Practice Led by Erkin Ötle

HTD Health Launches Healthcare AI Practice Led by Erkin Ötle

September 6, 2023September 7, 2023HIT Consultant

Erkin Otles – AI Practice Lead – HTD Health What You Should Know: – HTD Health, a New York-based company specializing in virtually-enabled care, EMR integration, and Software as Medical Device (SaMD) design and development, is…

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Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

Recommendations for the use of pediatric data in artificial intelligence and machine learning ACCEPT-AI

September 6, 2023September 6, 2023npj Digital Medicine

ACCEPT-AI is a framework of recommendations for the safe inclusion of pediatric data in artificial intelligence and machine learning (AI/ML) research. It has been built on fundamental ethical principles of pediatric and AI research…

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Why Is Technology So Important In The Healthcare Industry? | The Healthcare Guys

Why Is Technology So Important In The Healthcare Industry? | The Healthcare Guys

September 5, 2023September 6, 2023The Healthcare Guys

The healthcare industry is one that’s gone through a lot of changes over the years, and although a lot of those changes have to do with science and the new things we’re learning about…

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The Self-Driving Clinical Trial: Optimizing Research with AI and ML

The Self-Driving Clinical Trial: Optimizing Research with AI and ML

September 1, 2023September 2, 2023HIT Consultant

The power and potential of artificial intelligence (AI) and machine learning (ML) in the healthcare industry are unparalleled. The use of automated technology systems like digital workflows, orchestration and storing of data digitally is…

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Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis

Deep learning analysis of blood flow sounds to detect arteriovenous fistula stenosis

September 1, 2023September 2, 2023npj Digital Medicine

For hemodialysis patients, arteriovenous fistula (AVF) patency determines whether adequate hemofiltration can be achieved, and directly influences clinical outcomes. Here, we report the development and performance of a deep learning model for automated AVF…

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Can Wireless Diagnostic Tools Revolutionize Chronic Care Management?

Can Wireless Diagnostic Tools Revolutionize Chronic Care Management?

September 1, 2023September 1, 2023DistilINFO Hospital IT

Wireless diagnostic tools hold the potential to revolutionize chronic care management. Ron Erickson, founder of Know Labs, envisions noninvasive blood glucose monitoring as a breakthrough for diabetes patients. Utilizing radio frequency technology, Know Labs…

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Transforming Healthcare Intelligence with Orion Health's Orchestral Platform

Transforming Healthcare Intelligence with Orion Health’s Orchestral Platform

September 1, 2023September 2, 2023Healthcare IT Today

We sat down with Brad Porter, Chief Executive Officer of Orion Health, at HIMSS 2023. Discover the groundbreaking announcement of their new health intelligence platform, Orchestral. Learn how Orchestral leverages data science, machine learning,…

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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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