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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

HIMSSCast: Five steps to a better patient experience

HIMSSCast: Five steps to a better patient experience

June 9, 2023June 10, 2023Healthcare IT news

IDC Research Research Director, Value-based Healthcare IT Transformation Strategies, Jennifer Eaton had this to say in recent research:”To meet consumer needs and demands, healthcare is using technology more than ever to support meaningful, productive…

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Lessons From Oncology – How We Can Better Utilize AI for GI

Lessons From Oncology – How We Can Better Utilize AI for GI

June 9, 2023June 10, 2023HIT Consultant

Shrujal Baxi, MD, MPH, Chief Medical Officer of Iterative Health

Oncology is seen as an early adopter of machine learning in healthcare, and as a doctor who has been working in medical oncology for over…

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Roundup: AI for predicting Alzheimer's risk, training staff and more briefs

Roundup: AI for predicting Alzheimer’s risk, training staff and more briefs

June 9, 2023June 10, 2023MobiHealthNews

HKUST-led study combines AI, genetic info to predict Alzheimer’s riskA research team led by the Hong Kong University of Science and Technology has made an AI model that uses genetic information to predict the…

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DL Approach Enables Interpretations of Electrocardiograms as Language

DL Approach Enables Interpretations of Electrocardiograms as Language

June 8, 2023June 9, 2023Health IT Analytics

By Shania Kennedy

June 08, 2023 – Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related diagnoses, according to…

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GE Healthcare Unveils Sonic DL: Revolutionary FDA-Cleared AI Deep Learning Technology for Faster MRI Scans

GE Healthcare Unveils Sonic DL: Revolutionary FDA-Cleared AI Deep Learning Technology for Faster MRI Scans

June 8, 2023June 10, 2023DistilINFO Hospital IT

GE Healthcare introduces Sonic DL, an FDA-cleared AI deep learning technology that accelerates cardiac MRI scans. By capturing high-quality images within a single heartbeat, Sonic DL eliminates the need for multiple breath-holds and expands…

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Mount Sinai AI model allows for language-based ECG readings

Mount Sinai AI model allows for language-based ECG readings

June 7, 2023June 9, 2023Healthcare IT news

Researchers at Mount Sinai in New York City say they’ve developed a new artificial intelligence model designed for electrocardiogram analysis.WHY IT MATTERSThe innovative AI approach could vastly improve the efficacy and accuracy of ECG…

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Nottingham City Council speeds up hospital discharge with Lilli technology

Nottingham City Council speeds up hospital discharge with Lilli technology

June 7, 2023June 9, 2023Digital Health

Lilli, a company using machine learning (ML) to improve home care, has recently announced transformational results from its Discharge to Assess (D2A) trial with Nottingham on Call. Nottingham on Call is the telecare service provided…

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The impact of artificial intelligence on healthcare

The impact of artificial intelligence on healthcare

June 7, 2023June 9, 2023Healthcare IT news

Artificial intelligence (AI) has extraordinary potential to enhance healthcare, from improvements in medical diagnosis and treatment to assisting surgeons at every stage of the surgical act, from preparation to completion.With machine learning and deep…

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RayStation to Improve Treatment Planning at NYU Langone-Long Island

RayStation to Improve Treatment Planning at NYU Langone-Long Island

June 7, 2023June 8, 2023DistilINFO Hospital IT

RaySearch Laboratories has announced that New York University (NYU) Langone Hospital – Long Island will be replacing its treatment planning system with RayStation. The installation will provide NYU with advanced automation tools, machine learning…

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Wearable Ultrasound for Deep Tissue Monitoring |

Wearable Ultrasound for Deep Tissue Monitoring |

June 6, 2023June 7, 2023Medgadget

Researchers at the University of California San Diego have created a wearable ultrasound system that can monitor deep tissues, as far as 16.5 cm (6.5 inches) below the surface of the body. Moreover, the…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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