Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies using 21,934 liver ultrasound images from 11,960 patients…
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Stroke is a leading cause of global morbidity and mortality, disproportionately impacting lower socioeconomic groups. In this study, we evaluated three generative LLMs—GPT, Claude, and Gemini—across four stages of stroke care: prevention, diagnosis, treatment,…
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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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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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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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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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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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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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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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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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