Latest AI and machine learning research in medical education for healthcare professionals.
PURPOSE: Artificial intelligence (AI) has emerged as a useful tool that can be used to tailor lessons to suit the uniqueness of students with learning disabilities/difficulties (LD). While discussions on ways to incorporate AI in education are ongoing, its utilization to support the teaching of students with LDs is unresearched in the United Arab Emirates. Globally, students with LDs constitute th...
The integration of artificial intelligence (AI) into dental education is an issue capable of empowering professionals and revolutionizing patient outcomes. Nevertheless, there is a lack of data regarding the depth of AI adoption within Brazilian Dental Master's Programs. This research aimed to assess the availability of AI-related content in Brazilian Master's Programs. A total of 92 master's prog...
Rapid advances in generative AI have led to increasingly realistic deepfakes, posing growing challenges for law enforcement and public trust. Existing...
Artificial intelligence (AI) is increasingly integrated into healthcare education worldwide, yet disparities in access, training, and institutional re...
OBJECTIVE: Aligning medical education curricula with standardized competency-based assessments is a multifaceted task that requires accuracy and consi...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) management is complex and rapidly evolving. ChatGPT is a large language model (LLM) shown to ...
Nuclear medicine (NM) is rapidly expanding with new radiopharmaceuticals, imaging equipment, and theranostic possibilities, necessitating a capable an...
OBJECTIVE: To clarify how validation requirements should be specified for medical digital twins used in clinical decision support, particularly when s...
Purpose Clinical documentation is a critical competency in dental hygiene (DH) education, yet its administrative burden often detracts from patient ca...
Training in gynecologic oncology requires mastery of complex decision making and technically demanding procedures, yet opportunities for repetitive pr...
BACKGROUND: With the continuous advancement of technology, it is predicted that artificial intelligence technologies will be utilised more by academic...
Pharmacology education, often reputed as complex, overtly didactic and decontextualised, may benefit from artificial intelligence-supported strategies...
Artificial intelligence (AI) is rapidly integrating into clinical radiology, creating a continuous emphasis on the necessity of teaching its principle...
BACKGROUND: Multidisciplinary team (MDT) conferences are considered a cornerstone of decision-making in cancer diagnostics and care. However, the curr...
BACKGROUND: Developing professional expertise warrants deliberate practice, where skills are developed and refined through repeated engagement with ta...
BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...
BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor function and brain connectivity. Mental Simulation Pra...
Cancer remains a major health burden in Lithuania, emphasizing the importance of effective undergraduate oncology education. This paper describes the ...
AIM: This study explores nursing educators' perspectives on the challenges and benefits of integrating generative artificial intelligence (AI) into nu...
Artificial intelligence (AI) is rapidly being adopted in education in the health care professions, including in palliative care. Yet existing AI prime...