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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: risk prediction

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study

April 28, 2025npj Digital Medicine

Septic shock is one of the most lethal conditions in ICU, and early risk prediction may help reduce mortality. We developed a TOPSIS-based Classification Fusion (TCF) model to predict mortality risk in septic shock…

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Connecticut Children's, Xerox partner on AI-powered care delivery initiative

Connecticut Children’s, Xerox partner on AI-powered care delivery initiative

March 17, 2025MobiHealthNews

Pediatric health system Connecticut Children’s is expanding its partnership with Xerox by introducing an AI-powered offering aimed at streamlining care delivery while improving patient outcomes.Hartford-based Connecticut Children’s is utilizing AI to allow emergency department…

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Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations

Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations

March 13, 2025npj Digital Medicine

Current clinician-based and automated risk assessment methods treat the risk of suicide-related behaviors (SRBs) as static, while in actual clinical practice, SRB risk fluctuates over time. Here, we develop two closely related model classes,…

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ScreenPoint Medical Acquires Biomediq to Enhance Breast Cancer Risk Assessment with AI

ScreenPoint Medical Acquires Biomediq to Enhance Breast Cancer Risk Assessment with AI

January 8, 2025January 9, 2025HIT Consultant

What You Should Know: 

– ScreenPoint Medical, a provider of AI-powered breast cancer screening solutions, acquires Biomediq A/S, a research-based company specializing in quantitative imaging biomarkers. Financial details of the acquisition were not disclosed. 

– ScreenPoint’s…

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Lunit, Volpara Health announce a consolidated ecosystem for cancer care

Lunit, Volpara Health announce a consolidated ecosystem for cancer care

December 6, 2024December 7, 2024MobiHealthNews

Lunit, a provider of AI-powered solutions for cancer diagnostics and therapeutics, and Volpara Health, a company that offers AI-powered software to help providers better understand cancer risk, announced they are joining forces to develop…

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Vuno secures second 510(k) and more briefs

Vuno secures second 510(k) and more briefs

November 22, 2024November 22, 2024MobiHealthNews

Vuno receives second 510(k)South Korean medical AI company Vuno has obtained a 510(k) clearance from the United States Food and Drug Administration for its chest X-ray analysis AI software.
The VunoMed Chest X-ray Triage quickly…

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Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring

Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring

November 2, 2024November 2, 2024npj Digital Medicine

Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance of a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. We performed…

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Development and assessment of a machine learning tool for predicting emergency admission in Scotland

Development and assessment of a machine learning tool for predicting emergency admission in Scotland

October 23, 2024October 23, 2024npj Digital Medicine

Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and…

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Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework

Enabling data linkages for rare diseases in a resilient environment with the SERDIF framework

October 4, 2024October 5, 2024npj Digital Medicine

Environmental factors amplified by climate change contribute significantly to the global burden of disease, disproportionately impacting vulnerable populations, such as individuals with rare diseases. Researchers require innovative, dynamic data linkage methods to enable the…

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New AI Test Aims to Improve Breast Cancer Recurrence Prediction

New AI Test Aims to Improve Breast Cancer Recurrence Prediction

May 29, 2024May 30, 2024HIT Consultant

What You Should Know: 

– A collaborative effort between COTA, PreciseDx, and Baptist Health South Florida seeks to revolutionize breast cancer recurrence risk assessment with the PreciseBreast™ (PDxBr) test. This AI-powered tool holds promise for…

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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

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