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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: Digital medicine

Exploring the potential of digital biomarkers as a measure of brain health ‘capital’

Exploring the potential of digital biomarkers as a measure of brain health ‘capital’

June 5, 2025June 5, 2025npj Digital Medicine

Neurological conditions, including dementia, pose a major public health challenge, contributing to a significant and growing clinical, economic, and societal burden. Traditionally, research and clinical practice have focused on diseases like dementia in isolation….

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Randomized clinical trial of a digital medication system to enhance adherence in patients with severe mental disorders

Randomized clinical trial of a digital medication system to enhance adherence in patients with severe mental disorders

June 5, 2025June 5, 2025npj Digital Medicine

To evaluate the effectiveness of a digital medication system in improving adherence among patients with serious mental disorders (SMD), we conducted a cluster-randomized controlled trial across 30 communities in Beijing. Participants, aged 18–65 years,…

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Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models

Racial bias in AI-mediated psychiatric diagnosis and treatment: a qualitative comparison of four large language models

June 4, 2025June 5, 2025npj Digital Medicine

Artificial intelligence (AI), particularly large language models (LLMs), is increasingly integrated into mental health care. This study examined racial bias in psychiatric diagnosis and treatment across four leading LLMs: Claude, ChatGPT, Gemini, and NewMes-15…

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A scoping review of routinely collected linked data in research on gambling harm

A scoping review of routinely collected linked data in research on gambling harm

June 4, 2025June 5, 2025npj Digital Medicine

Gambling harm is a global public health challenge. Gambling is often recorded in settings using routinely collected data (RCD). Linking of existing RCD affords numerous opportunities for policy-led research on gambling harm and early…

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The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty

The Nebraska Nomogram for Autograft Planning (NNAP) a surgical planning tool for ipsilateral rotational autokeratoplasty

June 4, 2025June 4, 2025npj Digital Medicine

Corneal opacification impairs vision and may necessitate surgery. Ipsilateral rotational autokeratoplasty (IRA) offers an alternative to allograft keratoplasty for treating localized opacities within the visual axis while minimizing risks. A novel digital twin software…

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Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery

Randomized comparison of AI enhanced 3D printing and traditional simulations in hepatobiliary surgery

June 2, 2025June 2, 2025npj Digital Medicine

We employed a three-phase approach, culminating in a randomized controlled trial, to assess the efficacy of 3D-printed liver models in hepatobiliary surgical planning. Phase one involved developing and selecting 35 optimal 3DP models based…

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A general framework for governing marketed AI/ML medical devices

A general framework for governing marketed AI/ML medical devices

June 1, 2025June 1, 2025npj Digital Medicine

This project represents the first systematic assessment of the US Food and Drug Administration’s postmarket surveillance of legally marketed artificial intelligence and machine learning based medical devices. We focus on the Manufacturer and User…

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Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

May 31, 2025May 31, 2025npj Digital Medicine

Integrating human support with chatbot-based behavior change interventions raises three challenges: (1) attuning the support to an individual’s state (e.g., motivation) for enhanced engagement, (2) limiting the use of the concerning human resources for…

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From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

May 31, 2025May 31, 2025npj Digital Medicine

Clinical practice is currently guided by studies that average over patient outcomes. This may not be the best approach, as different patients may have different treatment responses. Here we extend a method for simulating…

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Impact of pharmacist led mobile application on medication adherence and efficacy in chronic kidney disease

Impact of pharmacist led mobile application on medication adherence and efficacy in chronic kidney disease

May 30, 2025May 30, 2025npj Digital Medicine

Medication adherence is crucial for slowing chronic kidney disease (CKD) progression. A specially designed pharmacist-led mobile application, Kidney Health, was evaluated in a single-center, prospective, 3 months, randomized controlled trial (RCT) to assess its…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

Recent Posts

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    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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    January 31, 2026January 31, 2026Comments Off on 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

    January 31, 2026January 31, 2026Comments Off on 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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