Airedale NHS Trust Partners with PwC for Electronic Patient Record Implementation
Airedale NHS Trust collaborates with PwC for delayed electronic patient record implementation. Further testing needed for safety. 🏥📅
Artificial intelligence in medical imaging empowers precision neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma.
AI in medical imaging enhances precision in neoadjuvant immunochemotherapy for esophageal squamous cell carcinoma. 📊🩺
Study Highlights Gender and Age Biases in AI for Skin Disease Diagnosis
Study reveals biases in AI skin disease diagnosis based on gender and age. Further research needed for equitable solutions. 🩺📊
Capitalizing on Digital Health Care for Speech-Language Pathology and Audiology Professions to Be Contextually Relevant, Responsive, and Responsible in South Africa: A Narrative Review.
Digital health in speech-language pathology enhances access, efficiency, and outcomes in South Africa. Key challenges include infrastructure and training. 📈💻
ChatGPT Enhances Patient Screening for Clinical Trials
ChatGPT aids in clinical trial patient screening, reducing time and improving enrolment efficiency. 🩺📊
Immunotherapies for Aging and Age-Related Diseases: Advances, Pitfalls, and Prospects.
Immunotherapies for aging show promise in targeting age-related diseases. Key advancements and challenges discussed. 🧬💉
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. 🤖💉
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 📚🤖
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. 🤰🩺
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. 📊💡