
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20 Years.
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. 📊👁️
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Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. 📊👁️

Digital ECG access at Barts Health improves patient care, enabling faster decisions and reducing errors. Enhanced efficiency benefits all. 📈❤️

Social media recruitment for Indigenous populations faces AI challenges. Limited success, data quality issues, and effective strategies explored. 📊🤝

Mentorship in digital health is vital for career growth and collaboration. It fosters confidence and innovation in challenging environments. 🌐🤝

Predicting severe renal dysfunction in cirrhosis: MELD score shows 80% prevalence at high levels. Machine learning enhances accuracy! 📊🔍

Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. 🏥📉

AI vs. Traditional ML in Predicting Antimicrobial Resistance: LLMs show 90%+ negative predictive value! 📊💉

Patients Know Best secures investment from DNV to enhance its personal health record system and expand internationally. 🌍📈

Machine learning detects frailty in long-term care with 86.3% accuracy using accelerometer data. 📊👵 #HealthTech

Robotic-assisted surgery at Sandwell and West Birmingham NHS Trust reduces patient waiting times. 🏥🤖 Eight patients treated efficiently.