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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: Datasets

Small Language Models vs. Large Language Models in Healthcare

Small Language Models vs. Large Language Models in Healthcare

September 9, 2024September 9, 2024HIT Consultant

Diego Espada, VP of Delivery, BairesDev

Large language models (LLMs) use AI to reply to questions in a conversational manner. Our friend ChatGPT is an LLM. It can reply to an uncapped range of queries…

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Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation

Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation

September 5, 2024September 5, 2024npj Digital Medicine

The application of artificial intelligence (AI) algorithms to 12-lead electrocardiogram (ECG) provides promising age prediction models. We explored whether the gap between the pre-procedural AI-ECG age and chronological age can predict atrial fibrillation (AF)…

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Most Healthcare Leaders Understand the Promise of AI, But Barriers to Adoption Still Remain - MedCity News

Most Healthcare Leaders Understand the Promise of AI, But Barriers to Adoption Still Remain – MedCity News

September 4, 2024September 4, 2024MedCity News

New research emerged Tuesday revealing how CIOs and other healthcare technology leaders feel about AI deployment.

The survey — which was conducted by The Harris Poll and health data platform Arcadia — was based on…

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Deploying AI? Healthcare Leaders Must First Consider Cybersecurity and Equity | Healthcare IT Today

Deploying AI? Healthcare Leaders Must First Consider Cybersecurity and Equity | Healthcare IT Today

August 29, 2024August 29, 2024Healthcare IT Today

The following is a guest article by Tim Boltz, Healthcare Solutions Executive at Carahsoft
Artificial intelligence is the most disruptive technology since the widespread adoption of the internet. AI could permeate industries the same way,…

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EPtalk by Dr. Jayne 8/22/24 – HIStalk

EPtalk by Dr. Jayne 8/22/24 – HIStalk

August 22, 2024August 22, 2024HIStalk

I’ve spent a fair amount of my career working with the underlying datasets and codes that make EHRs work, including ICD-9, ICD-10, SNOMED, LOINC, RxNorm, CPT, DSM, and HCPCS. Normally I’m not that excited…

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Trilliant Health Releases Free Provider Directory

Trilliant Health Releases Free Provider Directory

August 16, 2024August 17, 2024HIT Consultant

What You Should Know:

–  Trilliant Health, the healthcare industry’s leading analytics firm,  released a free version of its Provider Directory application.

– The easy-to-use application creates a single source of truth for accurate and timely information about…

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Responsible development of clinical speech AI: Bridging the gap between clinical research and technology

Responsible development of clinical speech AI: Bridging the gap between clinical research and technology

August 10, 2024August 10, 2024npj Digital Medicine

This perspective article explores the challenges and potential of using speech as a biomarker in clinical settings, particularly when constrained by the small clinical datasets typically available in such contexts. We contend that by…

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A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children

A deep learning system for myopia onset prediction and intervention effectiveness evaluation in children

August 7, 2024August 7, 2024npj Digital Medicine

The increasing prevalence of myopia worldwide presents a significant public health challenge. A key strategy to combat myopia is with early detection and prediction in children as such examination allows for effective intervention using…

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New Zealand eyes routine collection of rare disorders data

New Zealand eyes routine collection of rare disorders data

August 7, 2024August 7, 2024Healthcare IT news

New Zealand’s Ministry of Health plans to build national datasets on rare disorders as part of its strategy to better support people living with such conditions.The recently released Aotearoa New Zealand Rare Disorders Strategy…

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Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

July 23, 2024July 23, 2024npj Digital Medicine

Explainable artificial intelligence (XAI) has experienced a vast increase in recognition over the last few years. While the technical developments are manifold, less focus has been placed on the clinical applicability and usability of…

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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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