Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative training of machine learning (ML) models on diverse, multi-centre data. This systematic review synthesises current knowledge on state-of-the-art FL in oncology, focusing on…
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Generative artificial intelligence (GenAI) and large language models represent gains in educational efficiency and personalisation of learning. These are balanced against the considerations of the learning process, authentic assessment, and academic integrity. A pedagogical…
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This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLUCOSE), a distributional offline reinforcement learning algorithm for optimizing insulin dosing after cardiac surgery. Trained on 5228 patients, tested on 920,…
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This is a multi-institutional study to evaluate a head-and-neck CT auto-segmentation software across seven institutions globally. 11 lymph node levels and 7 organs-at-risk contours were evaluated in a two-phase study design. Time savings were…
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Breakthrough Study Shows 400% Improvement in Detection Rates
A groundbreaking multimodal AI model has revolutionized delirium detection in hospitalized patients, delivering remarkable improvements in treatment outcomes. Published in JAMA Network Open, this innovative machine learning…
Adjusting leadership approaches may be key to further unlock digital technologies’ potential in improving organisational processes amid the continuing shortfall in health workers worldwide, according to a renowned leadership coach. Frank Koo, the founder of…
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National Taiwan University Hospital has recently launched a new AI-powered diagnostic imaging service for pancreatic cancer.Offered as a self-pay service at the NTUH Department of Medical Imaging since late 2024, it features an AI…
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The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction.SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system that can automatically interpret heart image scans…
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Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalized treatment in head and neck squamous cell carcinoma (HNSCC). We developed a multimodal deep learning model (MDLM) integrating computed tomography, whole-slide images,…
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The Challenge: Post-Discharge Engagement Gap
Discovery Behavioral Health, operating 130 treatment programs nationwide, recognized a critical opportunity to enhance their post-discharge patient care. Despite delivering exceptional in-facility treatment, their follow-up capabilities remained primarily reactive rather…
