Patient Perspectives on Medical AI: Insights from a Global Study
Global study reveals patient attitudes toward medical AI. 57.6% view it positively, but health status influences acceptance. 🤖💉
September 10, 2025
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Knowledge, Attitudes, Practices, and Barriers Regarding the Integration of Artificial Intelligence in Nursing and Health Sciences Education: A Systematic Review.
AI in Nursing Education: High Awareness, Low Training 📚🤖
September 10, 2025
AI-Driven Ultrasound Trials for Pregnancy Screening in NHS Hospitals
AI ultrasound trials in NHS hospitals aim to enhance pregnancy screening for congenital issues. Results expected in early 2027. 🤰🩺
September 10, 2025
Predicting mortality dynamics in cancer patients: A machine learning approach to pre-death events.
Machine learning predicts cancer patient mortality dynamics, revealing three clinical patterns and key lab parameters. 📊💡
September 10, 2025
NHS-Embedded Clinical Trial Site for Mental Health Opens in Doncaster
NHS-Embedded Clinical Trial Site for Mental Health Opens in Doncaster 🧠🏥. This initiative aims to improve access to mental health treatments.
September 9, 2025
Artificial Intelligence and Network Medicine: Path to Precision Medicine.
AI and Network Medicine: Enhancing Precision Medicine through Deep Learning Techniques 🤖🔬
September 9, 2025
Naq Secures £5.1 Million to Enhance Cybersecurity for HealthTech Companies
Naq raises £5.1 million to boost cybersecurity for health tech. The funding will enhance compliance solutions for NHS standards. 💻🔒
September 9, 2025
Directory of Public Datasets for Youth Mental Health to Enhance Research Through Data, Accessibility, and Artificial Intelligence: Scoping Review.
Youth mental health data access is crucial for research. 📊 This article reviews vital datasets for impactful studies. 🧠
September 9, 2025
Dartford and Gravesham NHS Trust Implements Electronic Test Ordering System
Dartford and Gravesham NHS Trust introduces an electronic test ordering system for improved efficiency in imaging and pathology. 🏥📊
September 9, 2025
Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models.
Automated cervical cancer detection improves with DPAGCHE-enhanced images, achieving 84.15% accuracy using ResNet50. 📈🩺
September 9, 2025