Discover the newest research about AI innovations in π©Ί Endocrinology.
Innovative gout risk model combines clinical data, ultrasound, and deep learning, achieving AUC of 0.904! ππ¦΅
Exploring AI’s role in radiology: synergy, risks, and responsible integration. π€π Key insights from Kocak & Cuocolo’s review.
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. π₯π»
Coronary artery calcification (CAC) reveals complex mechanisms and innovations in treatment. Key findings include 98% IVL success and 99.2% AI imaging accuracy. π«π¬
Exploring diabetes care innovations: Continuous glucose monitoring, AI advancements, and their impact on patient outcomes. ππ‘
EndoCompass Project: Strategic Research Priorities in Thyroid Endocrinology π§ π. Key findings highlight gaps in funding and critical areas for investigation.
AI in healthcare: ChatGPT & DeepSeek show promise in clinical decision-making, but face challenges like bias & privacy. π€π
Insulin resistance mediates hypertension-NAFLD link; TyG-WC shows 32.03% effect. Risk models achieve 0.91 AUC. ππ©Ί
AI-Driven VR Enhances Nursing Handover Training: 3-Layer Framework, Real-Time Feedback, Pilot Study Results ππ©ββοΈ
AI transforms stroke care: enhancing diagnostics, predicting outcomes, and optimizing workflows. Key findings from a recent PubMed review. π§ π‘
