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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: Mount Sinai

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension

September 5, 2024September 5, 2024npj Digital Medicine

Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated…

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Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

August 24, 2024August 24, 2024npj Digital Medicine

Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…

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Providence developing AI tools designed to reduce clinician burnout

Providence developing AI tools designed to reduce clinician burnout

July 23, 2024July 24, 2024Healthcare IT news

By now, everyone in healthcare is well aware of the problem of clinician burnout – and its consequences, which aggravate the staffing shortage crisis.Health IT leaders at hospitals and health systems already have begun…

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Within 5 years, all Mount Sinai IT systems will contain some AI

Within 5 years, all Mount Sinai IT systems will contain some AI

June 18, 2024June 18, 2024Healthcare IT news

(Editor’s Note: This is part two of two of this interview. To read part one, click here.)Dr. Bruce Darrow, chief medical information officer and interim chief digital and information officer at New York’s Mount…

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Real-Time AI Alerts Reduce Patient Deaths by 43%, Mount Sinai Study Finds

Real-Time AI Alerts Reduce Patient Deaths by 43%, Mount Sinai Study Finds

June 14, 2024June 15, 2024HIT Consultant

What You Should Know: 

– A new study from Mount Sinai Hospital suggests artificial intelligence (AI) can significantly improve patient outcomes by predicting and preventing health decline. The research, published in Critical Care Medicine, found…

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Mount Sinai Medical Center Taps HealthSnap to Improve Chronic Conditions Management - MedCity News

Mount Sinai Medical Center Taps HealthSnap to Improve Chronic Conditions Management – MedCity News

June 11, 2024June 11, 2024MedCity News

On Tuesday, South Florida-based Mount Sinai Medical Center announced a new remote patient monitoring and chronic care management partnership with HealthSnap, a Miami-based virtual care management platform. The partnership is aimed at improving outcomes…

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Mount Sinai, HealthSnap Partner to Expand Chronic Condition Management

Mount Sinai, HealthSnap Partner to Expand Chronic Condition Management

June 11, 2024June 12, 2024HIT Consultant

What You Should Know: 

– Mount Sinai Medical Center, the largest private, non-profit teaching hospital in Florida, and HealthSnap, a leading virtual care management platform, announced a significant expansion of their partnership.

– Building on the…

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DDR Technology with AI Redefines Pulmonary Diagnostics

DDR Technology with AI Redefines Pulmonary Diagnostics

June 10, 2024June 12, 2024DistilINFO Hospital IT

DDR Technology is revolutionizing the field of pulmonary diagnostics by incorporating advanced artificial intelligence (AI) techniques. Developed by Konica Minolta Healthcare in collaboration with researchers at the Icahn School of Medicine at Mount Sinai,…

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Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

June 7, 2024June 7, 2024npj Digital Medicine

Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in…

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Exclusive: Thyme Care launches virtual palliative care program, appoints medical director

Exclusive: Thyme Care launches virtual palliative care program, appoints medical director

May 2, 2024May 2, 2024MobiHealthNews

Value-based cancer care platform Thyme Care is launching Enhanced Supportive Care, a virtual palliative care support program to assist its members and caregivers with managing physical and psychological symptoms accompanying cancer diagnosis and treatment.   The…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

Daniel Durand

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