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
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Discover the newest research about AI innovations in ⚖️ AI Ethics.
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
New AI Tool Enhances Data Fairness in Health Algorithms
New AI tool AEquity identifies and reduces biases in health datasets, enhancing accuracy and fairness in health algorithms. 🏥🤖
September 8, 2025
Residual disease in NPM1-mutated acute myeloid leukemia.
Exploring NPM1-mutated AML: MRD detection methods, AI’s role, and challenges in clinical integration. 🧬🔬
September 7, 2025
Impact of AI on Colonoscopy Skills of Health Professionals
AI use in colonoscopy may reduce endoscopists’ skills in detecting adenomas, raising concerns about patient outcomes. ⚠️🩺
September 6, 2025
Nurses’ Intention to Integrate AI Into Their Practice: Survey Study in Canada.
Nurses’ AI Integration Intentions: 65% variance explained, trust & beliefs crucial for adoption. 📊🤖
September 6, 2025
New AI Tools from Penn Enhance Kidney Disease Treatment
New AI tools from Penn enhance kidney disease treatment by analyzing cellular data for personalized therapies. 🧬💊
September 6, 2025
Wearable Point-of-Care Biosensor for Biomolecular Assay in Health Monitoring.
Wearable biosensors enhance health monitoring, enabling early disease detection through real-time bioanalysis. 📊🔬
September 6, 2025
Transformative Role of Artificial Intelligence in Drug Discovery and Translational Medicine: Innovations, Challenges, and Future Prospects.
AI revolutionizes drug discovery, reducing costs by 30% and development time by 50%. Ethical challenges persist. 🤖💊
September 5, 2025
Interaction of artificial intelligence, mental disorders, and diverse data modalities: Potential treatment management based on the “method-disease-data” axis.
AI in Mental Health: 3158 entities, 3248 relationships mapped for improved diagnosis & treatment. Challenges remain. 🤖🧠
September 5, 2025