Enabling micro-assessments of skills in the simulated setting using temporal artificial intelligence-models.
AI in Thyroid Ultrasound Training: 70% Accuracy Achieved! 🤖📊 Automated assessments enhance skill evaluation in medical simulations.
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation.
"Exploring SynthMedic: 900 synthetic discharge summaries with 94.35% usability score! 🤖📄"
AI Model Enhances T-cell Immunotherapy and Vaccine Development
AI enhances T-cell immunotherapy and vaccine development, improving predictions of T cell responses. 🤖💉
![[Cough frequency monitoring: current technologies and clinical research applications].](https://yesilscience.com/wp-content/uploads/2025/09/Cough-frequency-monitoring-current-technologies-and-clinical-research-applications.jpg)
[Cough frequency monitoring: current technologies and clinical research applications].
Cough frequency monitoring: key technologies and clinical applications revealed in recent research. 📊🤒
AI Models Enhance Predictions for Chronic Kidney Disease Progression
AI models improve predictions for chronic kidney disease progression, aiding early detection and management. 🩺📈
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%. 📊👁️
Improved Digital ECG Access at Barts Health Enhances Patient Care
Digital ECG access at Barts Health improves patient care, enabling faster decisions and reducing errors. Enhanced efficiency benefits all. 📈❤️
Social Media Recruitment in Indigenous and Native American Populations: Challenges in the AI Age.
Social media recruitment for Indigenous populations faces AI challenges. Limited success, data quality issues, and effective strategies explored. 📊🤝
Importance of Mentorship in Digital Health Leadership
Mentorship in digital health is vital for career growth and collaboration. It fosters confidence and innovation in challenging environments. 🌐🤝
Predicting severe renal dysfunction in alcohol-associated cirrhosis: Comparative performance of liver function scores and machine learning models.
Predicting severe renal dysfunction in cirrhosis: MELD score shows 80% prevalence at high levels. Machine learning enhances accuracy! 📊🔍