BACKGROUND: This article explores how preclinical students in a UK medical school utilise ChatGPT during their case-based learning (CBL) curriculum. MATERIALS AND METHODS: Focused ethnography was used to study 42 medical students and three clinical s... read more
Clinical and experimental dental research
Apr 1, 2026
OBJECTIVES: 3D segmentation of the upper airway is crucial for dental and medical practices. However, it is a difficult and daunting task. Like almost all other areas, AI can theoretically help in airway segmentation. Nevertheless, AI's efficacy rema... read more
The rapid integration of artificial intelligence (AI) into healthcare raises important questions about the foundational nature of nursing practice. As AI systems, such as clinical decision support, predictive analytics, and automated assessments, inc... read more
Nursing philosophy : an international journal for healthcare professionals
Apr 1, 2026
The integration of robots into healthcare is an advancing field, with potential to enhance patient care, for example in medication counselling. Peplau's Interpersonal Relationship Model was adapted as a framework for the aim to explore the needs of y... read more
Health expectations : an international journal of public participation in health care and health policy
Apr 1, 2026
BACKGROUND: Including public contributors in the development of artificial intelligence (AI) systems in healthcare research is growing, however, traditional methods of participation fail to engage people from minoritised groups. This work explores ho... read more
The conventional drug discovery pipeline is labour-intensive, time-consuming, and costly, involving target identification, hit discovery, lead optimization, and extensive preclinical and clinical evaluation. To overcome these limitations, artificial ... read more
Vagus nerve stimulation (VNS) is an established neuromodulatory therapy approved for epilepsy, depression, obesity, stroke rehabilitation, rheumatoid arthritis, migraine, and cluster headaches. Its therapeutic potential has expanded dramatically, wit... read more
OBJECTIVE: To develop a machine learning (ML) algorithm that improves accuracy compared to the Hierarchical Condition Category (HCC) score used by the Centers for Medicare and Medicaid Services to risk-adjust payments for > 65 million Americans. STUD... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.