Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.
AI clusters trauma patients into three phenotypes, revealing 93.1% mortality in T-1 group. Key for emergency care! 🚑📊
Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.
Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖
AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.
AI-driven deep learning enhances ampullary lesion diagnosis: 92.2% accuracy, 83.3% sensitivity for high-grade dysplasia. 📊🔍
Concerns Over Slow Adoption of Technology in NHS, Says Health Secretary
NHS faces challenges in adopting technology, warns Health Secretary. Slow progress may hinder efficiency and patient care. 📉💻
ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering.
ViSQA: First Vietnamese Spoken Question Answering Benchmark with 13,000+ pairs, revealing ASR errors impact on performance. 📊🔍
Echocardiographic Evaluation in Children with Post-Acute Sequelae of SARS-CoV-2 Infection Using Deep Learning.
Echocardiography in Kids with PASC: Deep Learning Achieves 96.6% Accuracy! 🫀📊
New CEO Appointed for Health Data Research Service
New CEO for Health Data Research Service appointed. Dr. Melanie Ivarsson aims to streamline medical research data access. 📊👩⚕️
WSSM: A Weakly Supervised Oral Mucosal Disease Segmentation Model Based on Multi-Task Collaboration.
Innovative WSSM model enhances oral mucosal disease segmentation accuracy by 6.06% using multi-task collaboration. 📊🦷