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…
Determining tumor microsatellite status has significant clinical value because tumors that are microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) respond well to immune checkpoint inhibitors (ICIs) and oftentimes not to chemotherapeutics. We propose…
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Deep learning techniques have significantly enhanced the convenience and precision of ultrasound image diagnosis, particularly in the crucial step of lesion segmentation. However, recent studies reveal that both train-from-scratch models and pre-trained models often…
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Federated learning (FL) enables collaborative analysis of decentralized medical data while preserving patient privacy. However, the covariate shift from demographic and clinical differences can reduce model generalizability. We propose FedWeight, a novel FL framework…
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