Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.
AI in Chest Tube Management: CheLSEA's 93% Accuracy in Removal Predictions 📊🤖
Concerns Over AI Cancer Tools Relying on Statistical Shortcuts
AI cancer tools may depend on shortcuts, raising concerns about their reliability in diagnosing cancer accurately. 🧬🔍
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 orbital disease assessment. 🧠📊
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 3.60/5 🌟.
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 significant step in community health. 🏥📉
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 findings from PubMed review reveal improved outcomes!
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! 🧠📊