Rare disease education in medical schools: patient-centered and innovative strategies.
Rare diseases affect 300 million globally. Medical education must adapt to improve care. 📚💉
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
AI in CT Detection of COPD: 189 Publications, 37.83% Growth 📈🌍
Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.
Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond! 🤖💧
Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.
AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. 📊🩻
Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.
Anaerobic microbes can boost POP degradation by 50% under moderate warming, aiding climate change mitigation. 🌍🔬
Artificial Intelligence in Supportive Oncology and Symptom Management Opportunities.
AI in Oncology: Enhancing Symptom Management & Patient Care 🤖💊
The ADVANCE toolkit: Automated descriptive video annotation in naturalistic child environments.
Revolutionizing video analysis in child behavior studies with ADVANCE toolkit: 2-5 individuals tracked accurately! 🎥👶
SHAP-based interpretable machine learning for injury risk prediction in university football players: a multi-dimensional data analysis approach.
SHAP analysis reveals key injury risk factors in university football players: stress, sleep, and balance. ⚽📊
Preparing for the Next Influenza Pandemic: Vaccine Progress, Challenges, and Prospects.
Influenza pandemic preparedness hinges on effective vaccines amid rapid mutations and emerging strains. Key advancements are crucial. 🦠💉
Deep learning with refined single candidate optimizer for early polyp detection.
Revolutionary deep learning model enhances early polyp detection in colonoscopy, improving accuracy and precision significantly! 📊🔍