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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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Medical large language models are susceptible to targeted misinformation attacks

Medical large language models are susceptible to targeted misinformation attacks

October 23, 2024October 23, 2024npj Digital Medicine

Large language models (LLMs) have broad medical knowledge and can reason about medical information across many domains, holding promising potential for diverse medical applications in the near future. In this study, we demonstrate a…

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Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor

October 19, 2024October 19, 2024npj Digital Medicine

Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much…

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Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)

Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India)

October 19, 2024October 19, 2024npj Digital Medicine

The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures a snapshot of…

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Ex-Biofourmis CEO founds healthcare LMM startup and more AI briefs

Ex-Biofourmis CEO founds healthcare LMM startup and more AI briefs

October 18, 2024October 18, 2024MobiHealthNews

Biofourmis founder launches health LMM startup Over a year after leaving biotechnology unicorn Biofourmis, ex-CEO and founder Kuldeep Singh Rajput recently announced that he set up a new health tech company focused on generative AI.
In a…

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iCardio.ai gets FDA 510(k) clearance for AI echocardiography

iCardio.ai gets FDA 510(k) clearance for AI echocardiography

October 15, 2024October 16, 2024MobiHealthNews

Los Angeles-based iCardio.ai has received FDA 510(k) clearance for its artificial intelligence software for interpretation of echocardiography, aimed at offering a comprehensive imaging workflow and autonomous preliminary reporting.iCardio.ai develops machine learning and deep learning…

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Springbok Analytics Redefines Muscle Analysis with AI Power

Springbok Analytics Redefines Muscle Analysis with AI Power

October 15, 2024October 15, 2024DistilINFO Hospital IT

Introduction
In a groundbreaking development for the life sciences sector, Springbok Analytics, a leading muscle and analytics company, has recently achieved FDA 510(k) clearance for its innovative technology, MuscleView. This AI-powered solution leverages advanced magnetic…

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Springbok Analytics receives FDA 510(k) clearance for MuscleView

Springbok Analytics receives FDA 510(k) clearance for MuscleView

October 12, 2024October 12, 2024MobiHealthNews

Springbok Analytics, a life sciences muscle and analytics company, has received FDA 510(k) clearance for MuscleView, an AI-powered technology that analyzes muscle health via magnetic resonance (MR) images. The AI-based technology analyzes MRI data and…

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Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study

Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study

October 12, 2024October 12, 2024JMIR mHealth and uHealth

Background: Smartphone-based monitoring in natural settings provides opportunities to monitor mental health behaviors, including suicidal thoughts and behavior. Objective: To use passively collected smartphone state logs to estimate daily smartphone screen time characteristics in…

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Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia

Systematic review and meta-analysis of standalone digital interventions for cognitive symptoms in people without dementia

October 10, 2024October 10, 2024npj Digital Medicine

Cognitive symptoms are prevalent across neuropsychiatric disorders, increase distress and impair quality of life. Self-guided digital interventions offer accessibility, scalability, and may overcome the research-to-practice treatment gap. Seventy-six trials with 5214 participants were identified….

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MIM Software Transforms Cancer Care with Innovative Solutions

MIM Software Transforms Cancer Care with Innovative Solutions

October 9, 2024October 9, 2024DistilINFO Hospital IT

Introduction
In a significant advancement for personalized medicine, GE HealthCare’s MIM Software has received FDA 510(k) clearance for its Theranostics portfolio. This clearance allows MIM SurePlan MRT to perform absorbed dose calculations using the Monte…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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