Towards automated model analysis: A multiview AI segmentation of 3D dental scans.
AI segmentation of 3D dental scans achieves 93.1% accuracy, streamlining orthodontic workflows. 🤖🦷
Feasibility of Depth-in-Color En Face Optical Coherence Tomography for Colorectal Polyp Classification Using Ensemble Learning and Score-Level Fusion.
Innovative OCT technique achieves 90% accuracy in colorectal polyp classification. Promising for clinical applications! 📊🔬
UK Government Initiative Utilizes VR to Enhance Medicine Manufacturing Skills
UK government invests £4.3 million in VR training for medicine manufacturing. Aims to inspire 140,000 people over the next decade. 🏥💻
Sleep apnoea and its consequences: from animal models to precision medicine.
Exploring OSA: Insights from Recent Research on Precision Medicine and AI in Sleep Apnoea Treatment 💤📊
Weekly Health & AI Digest – January 19, 2026
Here are the latest breakthroughs in health & AI (January 19, 2026 week) 🔹 Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer. AI tools analyze 4,592 Reddit posts on pre-cervical cancer, revealing patient concerns and...
Application and validation of AI-driven methods to explore patient experiences of pre-cervical cancer.
AI tools analyze 4,592 Reddit posts on pre-cervical cancer, revealing patient concerns and community support. 📊💬
Bridging online behavior and clinical insight: A longitudinal LLM-based study of suicidality on youtube reveals novel digital markers.
Longitudinal study links YouTube behavior to suicidality, revealing 166 topics and key digital markers. 📊💔
An AI-based algorithm for analyzing physical activity and health-related fitness in youth.
AI-driven analysis boosts youth fitness assessments: 98.448% accuracy in classification and enhanced performance predictions. 📊🤖
Enhancing Developmental Language Disorder Identification with Artificial Intelligence: Development of an Explainable Screening App Using Real and Synthetic Data.
AI-driven app enhances DLD identification, showing high concordance with clinical diagnoses. Key linguistic markers analyzed. 📊🤖
Leading large language models on a periodontology knowledge test.
Large language models show 65% accuracy in periodontology tests, lacking reliability for clinical decision support. 📊🦷