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Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

Beyond the Hype: Building AI Systems in Healthcare Where Hallucinations Are Not an Option

July 25, 2025July 25, 2025
UK Biobank confirms 100,000 MRI scan milestone reached

UK Biobank confirms 100,000 MRI scan milestone reached

July 25, 2025July 25, 2025
The Crucial Role of Integrated Infusion and Specialty Pharmacy Services in Health Systems

The Crucial Role of Integrated Infusion and Specialty Pharmacy Services in Health Systems

July 25, 2025July 25, 2025
NHS digital plans risk worsening health inequalities, say academics

NHS digital plans risk worsening health inequalities, say academics

July 25, 2025July 25, 2025
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Tag: evaluation

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data

July 24, 2025July 25, 2025npj Digital Medicine

Early prediction of disability progression in multiple sclerosis (MS) remains challenging despite its critical importance for therapeutic decision-making. We present the first systematic evaluation of personalized federated learning (PFL) for 2-year MS disability progression…

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Evaluation of an integrated digital and mobile intervention to improve outcomes for patients with moderate to severe COPD

Evaluation of an integrated digital and mobile intervention to improve outcomes for patients with moderate to severe COPD

July 18, 2025July 18, 2025npj Digital Medicine

Chronic obstructive pulmonary disease (COPD) leads to high rates of emergency department (ED) visits and hospitalizations. This study evaluated a community-based digital health intervention’s association with acute care utilization among patients with moderate to…

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A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab

A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab

July 18, 2025July 18, 2025npj Digital Medicine

Internationally, health systems are investing in Artificial Intelligence (AI) to improve safety, quality, and efficiency, yet many efforts remain localised and do not progress beyond early development stages. In 2019, National Health Service (NHS)…

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Framework for bias evaluation in large language models in healthcare settings

Framework for bias evaluation in large language models in healthcare settings

July 7, 2025July 8, 2025npj Digital Medicine

A critical gap in the adoption of large language models for AI-assisted clinical decisions is the lack of a standardized audit framework to evaluate models for accuracy and bias. Our framework introduces a five-step…

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Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation

July 5, 2025July 5, 2025JMIR mHealth and uHealth

Background: As the population ages, cognitive impairment is becoming increasingly prevalent. Mobile applications offer a scalable platform for delivering cognitive training interventions. However, their variable quality and lack of rigorous evaluation underscore the need…

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Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

Users’ Needs for Mental Health Apps: Quality Evaluation Using the User Version of the Mobile Application Rating Scale

July 4, 2025July 4, 2025JMIR mHealth and uHealth

Background: Mental health is an essential element of life. However, existing mental health services are having difficulty using the service due to problems such as societal prejudices, counselor shortages. Mobile health(mHealth) is drawing attention…

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Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation

Development and multicenter validation of an AI driven model for quantitative meibomian gland evaluation

July 4, 2025July 4, 2025npj Digital Medicine

This multicenter retrospective study developed and validated an AI driven model for automated segmentation and quantitative evaluation of meibomian glands using infrared meibography images acquired by the Keratograph 5M device. A total of 1350…

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Hospitals Best Cybersecurity Partners 2025

Hospitals Best Cybersecurity Partners 2025

July 2, 2025July 2, 2025DistilINFO Hospital IT

Small and rural hospitals face unprecedented cybersecurity challenges in today’s digital healthcare landscape. A comprehensive June 30, 2025 report from Black Book Research has identified the leading cybersecurity vendors that are making a significant…

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Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation

Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation

July 2, 2025July 2, 2025npj Digital Medicine

Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but its interpretation requires significant expertise and time. Despite generative AI’s enormous potential in medical report generation, automatic FFA interpretation lacks robust…

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Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives

Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives

July 1, 2025July 1, 2025npj Digital Medicine

Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) examination is important but time-consuming for visual function evaluation with high requirement of cooperation and reliability of patients. While color…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

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