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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: Alzheimer’s disease

Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records

Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records

November 27, 2025November 28, 2025npj Digital Medicine

Alzheimer’s Disease (AD), the most common neurodegenerative disease, is underdiagnosed and more prominent in underrepresented groups. We performed semi-supervised positive unlabeled learning (SSPUL) coupled with racial bias mitigation for equitable prediction of undiagnosed AD…

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A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection

A systematic review of explainable artificial intelligence methods for speech-based cognitive decline detection

November 26, 2025November 26, 2025npj Digital Medicine

Artificial intelligence models analyzing speech show remarkable promise for identifying cognitive decline, achieving performance comparable to clinical assessments. However, their “black box” nature poses significant barriers to clinical adoption, as healthcare professionals require transparent…

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Philips and Cortechs.ai Expand Partnership to Embed AI Neuroimaging Analytics in MR System

Philips and Cortechs.ai Expand Partnership to Embed AI Neuroimaging Analytics in MR System

November 19, 2025November 20, 2025HIT Consultant

What You Should Know: 

– Philips and Cortechs.ai are strengthening their collaboration to integrate AI-enabled quantitative neuroimaging analytics directly into Philips’ MR systems.

The integration provides clinicians with faster, more objective, and reproducible insights into brain…

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Large language models forecast patient health trajectories enabling digital twins

Large language models forecast patient health trajectories enabling digital twins

October 1, 2025October 1, 2025npj Digital Medicine

Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…

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GE HealthCare to Acquire icometrix to Advance Neurology with AI

GE HealthCare to Acquire icometrix to Advance Neurology with AI

September 12, 2025September 12, 2025HIT Consultant

What You Should Know: 

– GE HealthCare has announced its agreement to acquire icometrix, a company specializing in AI-powered brain imaging analysis. 

– The acquisition is a strategic move to address the growing demand for MRI…

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CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes

CARE-AD: a multi-agent large language model framework for Alzheimer’s disease prediction using longitudinal clinical notes

August 24, 2025August 24, 2025npj Digital Medicine

Large language models (LLMs) have shown promising capabilities across diverse domains, yet their application to complex clinical prediction tasks remains limited. In this study, we present CARE-AD (Collaborative Analysis and Risk Evaluation for Alzheimer’s…

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Preventive Neurology: A Game-Changer for Alzheimer’s and Parkinson’s

Preventive Neurology: A Game-Changer for Alzheimer’s and Parkinson’s

August 11, 2025August 11, 2025HIT Consultant

Dr. Richard S. Isaacson, Neurologist at The Institute for Neurodegenerative Diseases (IND)

Dr. Kellyann Niotis M.D. Neurologist at The Institute for Neurodegenerative Diseases (IND)

Hundreds of millions of people worldwide live with a high risk of…

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Neurogen Biomarking Virtual Care Ecosystem Cuts Time to Alzheimer’s Intervention by 4.5 Years

Neurogen Biomarking Virtual Care Ecosystem Cuts Time to Alzheimer’s Intervention by 4.5 Years

July 28, 2025July 29, 2025HIT Consultant

Elisabeth Thijssen, PhD, Chief Scientific Officer of Neurogen Biomarking.

What You Should Know: 

– Advancements in accelerating early Alzheimer’s disease (AD) screening and access to care, proven from three diverse community pilot initiatives, were presented today…

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A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records

A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records

July 3, 2025July 3, 2025npj Digital Medicine

Alzheimer’s Disease and Related Dementias (ADRD) pose a major public health challenge, with a critical need for accurate and scalable tools for detecting cognitive impairment (CI). Readily available electronic health records (EHRs) contain valuable…

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Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review

Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review

June 16, 2025June 16, 2025npj Digital Medicine

As digital biomarkers gain traction in Alzheimer’s disease (AD) diagnosis, understanding recent advancements is crucial. This review conducts a bibliometric analysis of 431 studies from five online databases: Web of Science, PubMed, Embase, IEEE…

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The most evolutionary change coming to hospital rooms of the future is that they will be in your own home. For certain acute conditions, the hospital room will come to you. You will be able to convalesce in the comfort of your own home by using portable technology and next-generation healthcare equipment. This will allow for high quality care to be rendered in a person's home by medical professionals both onsite and virtually.

Nick Patel

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