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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

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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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Category: npj Digital Medicine

Regulatory responses and approval status of artificial intelligence medical devices with a focus on China

Regulatory responses and approval status of artificial intelligence medical devices with a focus on China

September 18, 2024September 18, 2024npj Digital Medicine

This paper focuses on how regulatory bodies respond to artificial intelligence (AI)-enabled medical devices. To achieve this, we present a comparative overview of the United States (USA), European Union (EU), and China. Our search…

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A drug mix and dose decision algorithm for individualized type 2 diabetes management

A drug mix and dose decision algorithm for individualized type 2 diabetes management

September 17, 2024September 17, 2024npj Digital Medicine

Pharmacotherapy guidelines for type 2 diabetes (T2D) emphasize patient-centered care, but applying this approach effectively in outpatient practice remains challenging. Data-driven treatment optimization approaches could enhance individualized T2D management, but current approaches cannot account…

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A systematic review and meta analysis on digital mental health interventions in inpatient settings

A systematic review and meta analysis on digital mental health interventions in inpatient settings

September 17, 2024September 17, 2024npj Digital Medicine

E-mental health (EMH) interventions gain increasing importance in the treatment of mental health disorders. Their outpatient efficacy is well-established. However, research on EMH in inpatient settings remains sparse and lacks a meta-analytic synthesis. This…

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How might Hospital at Home enable a greener and healthier future?

How might Hospital at Home enable a greener and healthier future?

September 16, 2024September 17, 2024npj Digital Medicine

Traditional healthcare delivery models face mounting pressure from rising costs, increasing demand, and a growing environmental footprint. Hospital at Home (HaH) has been proposed as a potential solution, offering care at home through in-person,…

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Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias

Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias

September 16, 2024September 16, 2024npj Digital Medicine

We aimed to identify and characterise behavioural profiles in patients at high risk of SCD, by using deep representation learning of day-to-day behavioural recordings. We present a pipeline that employed unsupervised clustering on low-dimensional…

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Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology

Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology

September 14, 2024September 14, 2024npj Digital Medicine

Risk adjustment is often necessary for outcome quality indicators (QIs) to provide fair and accurate feedback to healthcare professionals. However, traditional risk adjustment models are generally oversimplified and not equipped to disentangle complex factors…

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A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

September 14, 2024September 14, 2024npj Digital Medicine

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use…

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Long-term changes in wearable sensor data in people with and without Long Covid

Long-term changes in wearable sensor data in people with and without Long Covid

September 13, 2024September 13, 2024npj Digital Medicine

To better understand the impact of Long COVID on an individual, we explored changes in daily wearable data (step count, resting heart rate (RHR), and sleep quantity) for up to one year in individuals…

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Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users

Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users

September 13, 2024September 13, 2024npj Digital Medicine

Nudging individuals without obvious symptoms of non-communicable diseases (NCDs) to undergo a health screening remains a challenge, especially in middle-income countries, where NCD awareness is low but the incidence is high. We assess whether…

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Results and implications for generative AI in a large introductory biomedical and health informatics course

Results and implications for generative AI in a large introductory biomedical and health informatics course

September 13, 2024September 14, 2024npj Digital Medicine

Generative artificial intelligence (AI) systems have performed well at many biomedical tasks, but few studies have assessed their performance directly compared to students in higher-education courses. We compared student knowledge-assessment scores with prompting 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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