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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

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Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

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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

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Tag: machine learning algorithms

Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records

December 17, 2025December 17, 2025npj Digital Medicine

Emergency care systems are challenged by the emergence of an ageing population, requiring tailored inputs facilitated by early care needs assessment. We examined the potential of Machine Learning algorithms to identify in-hospital healthcare contacts…

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Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data

Knockoff-ML: a knockoff machine learning framework for controlled variable selection and risk stratification in electronic health record data

November 26, 2025November 27, 2025npj Digital Medicine

Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk prediction and stratification in electronic health record (EHR)…

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Early detection of G2SCH through machine learning analysis of physical examination metrics

Early detection of G2SCH through machine learning analysis of physical examination metrics

November 12, 2025November 12, 2025npj Digital Medicine

Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…

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Ophthalmic drug discovery and development using artificial intelligence and digital health technologies

Ophthalmic drug discovery and development using artificial intelligence and digital health technologies

September 25, 2025September 25, 2025npj Digital Medicine

Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerate each stage of drug discovery and…

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Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology

August 16, 2025August 16, 2025npj Digital Medicine

Prostate cancer (PCa) ranks among the most prevalent cancers in men worldwide. Biochemical recurrence (BCR) presents a major clinical challenge in PCa management, with significant prognostic heterogeneity observed among patients post-recurrence. This study aimed…

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Predicting outcomes following endovascular aortoiliac revascularization using machine learning

Predicting outcomes following endovascular aortoiliac revascularization using machine learning

July 24, 2025July 24, 2025npj Digital Medicine

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease that carries non-negligible risks. Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day…

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Mount Sinai Implements Spanish AI Healthcare Tool

Mount Sinai Implements Spanish AI Healthcare Tool

July 23, 2025July 23, 2025DistilINFO Hospital IT

What is Epic’s Augmented Response Technology?
Epic’s Augmented Response Technology (ART) is a sophisticated generative AI system designed to transform patient-provider communication through MyChart messaging platforms. The Spanish-language version of this innovative tool represents the…

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Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection

Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection

April 11, 2025npj Digital Medicine

The Acute Respiratory Illness Surveillance (AcRIS) Study was a low-interventional trial that examined voice changes with respiratory illnesses. This longitudinal trial was the first of its kind, conducted in a fully decentralized manner via…

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Caris Life Sciences secures $168M for precision medicine platform

Caris Life Sciences secures $168M for precision medicine platform

April 7, 2025MobiHealthNews

Biotechnology and precision medicine company Caris Life Sciences announced it raised $168 million in growth capital funding.Caris Life Sciences has now raised $1.86 billion in capital since 2018.
Braidwell LP led the round with participation…

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How Health Plans Are Adding Up Real Value From AI

How Health Plans Are Adding Up Real Value From AI

April 2, 2025MedCity News

Now that AI tools are everywhere, the question making headlines is whether businesses will see substantial returns from their AI investments. The answer for health plans is a definite yes. Health plans are using…

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In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.

Leslie Saxon

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