Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…
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Suna Health is pioneering acoustic digestive state tracking through a wearable patch that continuously monitors gastrointestinal activity using AI-powered acoustic sensing. The discreet patch contains an acoustic sensor and a 200-hour battery, with on-device machine learning classifying gut sounds…
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After an exciting few months of collaboration, learning and regulatory light-bulb moments, the RADIANT-CERSI DigitalHealth.London Innovator Support Programme has concluded its first cohort. From simplifying medical device regulation to empowering digital health innovators across the UK, the programme has been…
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Radiolucent foreign body aspiration (FBA) remains diagnostically challenging due to its subtle imaging signatures on chest CT scans, often leading to delayed or missed diagnoses. We present a deep learning model integrating MedpSeg, a…
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Current self-supervised learning (SSL) methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets, limiting their generalizability and scalability. We present 3DINO, a cutting-edge SSL method adapted to 3D…
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Background: The rapid proliferation of mobile health applications has underscored the need for robust tools to evaluate their quality. The Mobile App Rating Scale (MARS) is a widely used framework to assess key app…
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Cardiovascular diseases remain the leading cause of death in developed countries. This study introduces deep learning ensembles for arrhythmia detection and atrial fibrillation (AF) recurrence prediction from electrocardiogram scans, supported by explainable artificial intelligence…
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The CW Innovation Fellowship kicked off on Thursday 30 October, as 18 new participants were welcomed to the CW Innovation Hub for a day of introductions, learning and networking. The fourth cohort of the CW Innovation Fellowship, formerly known as the Horizon…
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Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, while students increasingly adopt unvalidated Generative AI (GenAI) tools for individualized learning support. This study investigated how medical students integrate constrained…
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Kelly J. Dries, PhD, RN, Director of Nursing Program Success at Wolters Kluwer Health
For decades, educators have sought better ways to prepare students for a rapidly evolving clinical environment. Now, artificial intelligence (AI) is…
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