The role of artificial intelligence in psychosocial support for emergency nursing during explosive attacks.
Exploring 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.
Generative 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).
📈 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).
Automating 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.
Machine learning enhances bacteremia diagnosis using Sysmex XN analyzer: AUC 0.768, sensitivity 73.6%, specificity 67.9%. 📊🔬
Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.
Passive sensing & ML enhance mental health monitoring. 42 studies show 92.16% accuracy in anxiety detection. 📊🧠
Artificial intelligence across the cancer care continuum.
AI enhances oncology from risk assessment to treatment, improving accuracy and personalization. Key challenges include validation and data security. 🤖🎗️
Analysis and Mapping of Machine Learning in the Context of Diabetes.
Machine learning in diabetes research: 5,222 studies analyzed, USA leads in publications. 📈🤖
Comparative analysis of AI support levels in clinical interpretation of traumatic pelvic radiographs.
AI boosts pelvic X-ray accuracy by 8% and cuts reading time by 57% in trauma assessments. 📈🩺
Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review.
AI in Medical Imaging: Economic Benefits & Equity Challenges 📊🤖