Preoperative differentiation between xanthogranulomatous cholecystitis (XGC) and gallbladder cancer (GBC) remains challenging due to overlapping clinical and imaging features. This multicenter retrospective study developed a machine learning (ML) model, LIDGAX, using preoperative clinical, imaging,…
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Background: Management of noncommunicable diseases (NCDs) is an increasing challenge for health care systems. Although remote patient monitoring presents a promising solution by utilizing technology to monitor patients outside clinical settings, there is a…
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Right to left: Louise Simpson, director of operations at Psicon, and Janelle Bierdeman, manager of healthcare solutions at MHS (Credit: Psicon and MHS)
In the face of rising demand for ADHD and autism spectrum…
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Health digital twin MOU signing (left to right) Mike Bishop, chief operating officer at Kidney Research UK,
Gareth Scargill, director at Nexus,
Amy Lochtie – West Yorkshire ICB Innovation Hub director, Laura Boyd, director of digital…
Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…
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Preventing mental disorders is important to avoiding clinical conditions. This study evaluated the efficacy of internet-based indicated prevention for anxiety and depressive disorders. In a three-arm randomized controlled trial, 566 adults with subthreshold anxiety…
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Carotid atherosclerosis is a key predictor of cardiovascular disease (CVD), necessitating early detection. While foundation models (FMs) show promise in medical imaging, their optimal selection and fine-tuning strategies for classifying carotid atherosclerosis from retinal…
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Predicting multiple postoperative complications remains challenging in perioperative care. Current approaches often address complications individually, limiting the potential for integrated risk assessment. We developed and externally validated a scalable, interpretable, tree-based multitask learning model…
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Clinical assessments of Parkinson’s disease (PD) focus on structured motor tasks, potentially underestimating real-world mobility impairment. Digital mobility outcomes (DMOs) from wearable devices, offer a promising alternative, but their clinical value remains unclear. This…
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Addressing Rural Healthcare IT Budgets
“How do I keep the lights on?” That’s likely the top priority for rural healthcare IT budgets. These hospitals need to ensure that their critical environment (networks, servers and storage)…
