Latest AI and machine learning research in medical education for healthcare professionals.
In commercial microgrids, for effective energy management and reliable decision-making, it is imperative to include the uncertainties in load demands as well as in the renewable energy generation. To refine the research focus, the proposed work focusses on solar PV-load forecasting in the smart grid environments. The rise in demand fluctuations necessitates an improved 10% accuracy in the forecast...
The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representation for characterizing individual variability and detecting abnormalities across the lifespan. However, these abnormal alterations are subtle and complex, posing significant challenges for accurate and generalizable diagnosis using machine learning. He...
The rapid expansion of urban air mobility operations demands adaptive airspace management approaches that transcend traditional static sectorization. ...
OBJECTIVE: To evaluate and compare the performance of five large language models (LLMs)-ChatGPT-4o (OpenAI), Claude-3.5-sonnet (Anthropic), Gemini-2.0...
This paper deals with the design of a single-element and [Formula: see text] bandwidth microstrip patch array antennas for N77/N78 band applications. ...
BACKGROUND: Radiology trainees require efficient, accurate, and accessible resources to master complex imaging techniques and identify findings that g...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare education and clinical practice. Understanding health sciences stu...
BACKGROUND: Artificial intelligence is increasingly being integrated into healthcare education and simulation-based education. However, its role in su...
BACKGROUND: The 2025 University of Melbourne Department of Surgery Research Showcase, held on 18 November 2025, brought together surgeons, researchers...
Cancer is an ongoing severe health complication and public health concern. Efforts have been made to overcome this; however, the emergence of multidru...
PURPOSE: This study aimed to evaluate the impact of an artificial intelligence (AI)-generated formative feedback system on third-year dental students'...
BACKGROUND: Large language models (LLMs) have gained increasing popularity in medical education, with evidence supporting their educational value when...
BACKGROUND: Despite rapid integration of AI in healthcare, formal AI education remains limited in health professional curricula globally, particularly...
BACKGROUND: Medical education relies on experience to develop clinical reasoning skills, yet patient access is often limited. Large language models (L...
PURPOSE: This paper seeks to improve the reliability and quality of operation of the critical medical equipment methods through the combination of fai...
BACKGROUND: Equitable access to prescribed therapies remains challenging for older adults with chronic respiratory diseases (CRDs) in rural China. Liq...
PURPOSE: Large language model (LLM)-driven conversational agents are increasingly considered for use in clinical contexts, yet systematic approaches f...
BACKGROUND: The United States Army Institute for Surgical Research conducted an analysis of 3 prototype sensor suites; all candidates were designed to...
BACKGROUND: Large language models (LLMs) are rapidly entering clinical and consumer use, yet their probabilistic outputs have delivered a variety of u...
BACKGROUND: This study aims to evaluate the knowledge and attitudes of Mansoura medical students towards artificial intelligence (AI) use in medical e...