Harnessing the potential of large language models in medical education: promise and pitfalls

TM Benítez, Y Xu, JD Boudreau… - Journal of the …, 2024 - academic.oup.com
Objectives To provide balanced consideration of the opportunities and challenges
associated with integrating Large Language Models (LLMs) throughout the medical school …

Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education

R Franco D'Souza, M Mathew, V Mishra… - Medical Education …, 2024 - Taylor & Francis
Artificial Intelligence (AI) holds immense potential for revolutionizing medical education and
healthcare. Despite its proven benefits, the full integration of AI faces hurdles, with ethical …

Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine

K Jebreen, E Radwan, W Kammoun-Rebai… - BMC Medical …, 2024 - Springer
Background The current applications of artificial intelligence (AI) in medicine continue to
attract the attention of medical students. This study aimed to identify undergraduate medical …

The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare

AU Patel, Q Gu, R Esper, D Maeser, N Maeser - BioMedInformatics, 2024 - mdpi.com
As artificial intelligence (AI) integrates within the intersecting domains of healthcare and
computational biology, developing interpretable models tailored to medical contexts is met …

Clinical performance of automated machine learning: a systematic review

AJ Thirunavukarasu, K Elangovan, L Gutierrez… - medRxiv, 2023 - medrxiv.org
Introduction Automated machine learning (autoML) removes technical and technological
barriers to building artificial intelligence models. We aimed to summarise the clinical …