[Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence].
August 18, 2025Revolutionary AI in healthcare: GenAI enhances diagnosis, treatment efficiency, and patient interaction. 🤖💉
Weekly Health & AI Digest – August 18, 2025
August 18, 2025Here are the latest breakthroughs in health & AI (August 18, 2025 week) 🔹 Reshaping Organizational Culture in Pathology. “Transforming Pathology Culture: Emphasizing collaboration, AI, and diversity for enhanced diagnostic accuracy and team growth. 📊🤝” ——- 🔹 Automatic Image Recognition...
Reshaping Organizational Culture in Pathology.
August 17, 2025"Transforming Pathology Culture: Emphasizing collaboration, AI, and diversity for enhanced diagnostic accuracy and team growth. 📊🤝"
Automatic Image Recognition Meal Reporting Among Young Adults: Randomized Controlled Trial.
August 17, 2025AI Meal Reporting: 86% accuracy in dish recognition vs. 68% with voice input. Significant time savings noted! 📱🍽️
The role of artificial intelligence in psychosocial support for emergency nursing during explosive attacks.
August 17, 2025Exploring AI's impact on emergency nursing support during explosive attacks: key findings from Seyedin et al. 📊🤖
Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions.
August 16, 2025Generative AI in medical imaging: synthetic datasets enhance diversity, privacy, and workflows. Key challenges remain. 📊🩺
Global research landscape of retinoblastoma biomarkers: a multidisciplinary bibliometric analysis based on multiple databases (2005-2025).
August 16, 2025📈 Retinoblastoma biomarkers research shows steady growth, with China leading publications. Key hotspots include liquid biopsy and AI integration. 🔬
Making manual scoring of typed transcripts a thing of the past: a commentary on Herrmann (2025).
August 16, 2025Automating speech intelligibility scoring with NLP models shows 2-4% accuracy improvement over traditional methods. 🤖📊
Machine learning based analysis of leucocyte cell population data by Sysmex XN series hematology analyzer for the diagnosis of bacteremia.
August 15, 2025Machine learning enhances bacteremia diagnosis using Sysmex XN analyzer: AUC 0.768, sensitivity 73.6%, specificity 67.9%. 📊🔬