Predictors of Acute Myocardial Infarction: A Machine Learning Analysis After a 7-Year Follow-Up.
Machine learning predicts acute myocardial infarction risk using pulse wave velocity and left ventricular metrics. 📊❤️
Enhancing Interconnectivity in Endoscopy for Improved Patient Care
Enhancing interconnectivity in endoscopy improves patient care. 🏥 Streamlined systems lead to better efficiency and outcomes. 📈
Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions.
Large language models show significant accuracy improvements in PM&R, with GPT-4o achieving 84.1% correct answers! 📊🤖
Roles and Potential of Large Language Models in Healthcare: A Comprehensive Review.
Exploring Large Language Models in Healthcare: Transformative Potential & Ethical Considerations 🤖💉
Integration Issues Lead to Patient Record Errors in NHS
Integration issues in the NHS lead to patient record errors. 23% of adults report inaccuracies. 🏥📋
Cross language transformation of free text into structured lobectomy surgical records from a multi center study.
Transforming lobectomy records with GPT-4o: 96.6% accuracy, 98.1% precision, and 98.2% recall across languages! 📊💡
Survey Reveals Majority of Brits Unaware of AI in Healthcare
Survey shows 54% of Brits unaware of AI in healthcare. Public supports AI in radiology but seeks reassurance on safety. 🤖🏥
Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database.
Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 📊💡
AI-Powered Medical Devices Enhancing Healthcare Delivery
AI-powered medical devices are enhancing healthcare delivery through early disease detection and real-time monitoring. 🩺📈
Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH.
Machine learning enhances pleural effusion diagnosis: 742 patients, F1 scores >0.890 for MPE, >0.870 for TPE. 📊🤖