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health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Concerns Over AI Cancer Tools Relying on Statistical Shortcuts
AI cancer tools may depend on shortcuts, raising concerns about their reliability in diagnosing...
Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging.
Deep learning models show 95% accuracy in diagnosing proptosis via MRI, enhancing objectivity in...
Artificial intelligence in cancer survivorship: evaluating ChatGPT’s performance in rehabilitation-related queries.
AI in Cancer Rehab: ChatGPT's Accuracy at 3.93/5 📊, Completeness 2.13/3 📋, Global Quality...
Cheshire East’s Neighbourhood Care Model Decreases Emergency Room Visits
Cheshire East's neighbourhood care model reduces emergency room visits by up to 48%. A...
Explainable machine learning for predicting infections that require hospitalization in patients with systemic lupus erythematosus.
Predicting hospitalizations in SLE patients using AI: 88% AUROC, 15 key predictors identified. 🤖📊
Application of machine learning and deep learning in the diagnosis and treatment of inguinal hernia: a narrative review.
AI in Inguinal Hernia Care: ML & DL Enhance Diagnosis & Treatment! 🤖📈 Key...
TFFBN-HDLF: a hybrid deep learning framework based on time-frequency functional brain networks for epileptic seizure detection.
Hybrid deep learning framework enhances epilepsy seizure detection in elderly, achieving 98.09% accuracy! 🧠📊
Digital bioethics: exploring an emerging field.
Exploring Digital Bioethics: A New Frontier in Healthcare Ethics 🌐📊
Cera Introduces AI Lab to Enhance Care Capacity
Cera launches an AI lab to improve care capacity and alleviate pressure on health...