Artificial Intelligence in Health Professions Education

Authors

  • Ahsen Sethi Program Coordinator Health Professions Education, QU Health, Qatar University, Doha

DOI:

https://doi.org/10.53685/jshmdc.v5i1.227

Keywords:

Artificial intelligence, Health Profession Education, Radiology

Abstract

Artificial Intelligence (AI) is revolutionizing various fields, including Health Professions Education (HPE), with its ability to mimic human problem-solving and decision-making capabilities. Unlike the self-aware AI depicted in movies, current AI systems, like ChatGPT, follow human commands and have shown remarkable growth, reaching one million users within five days. AI’s strengths include processing large data sets rapidly, personalizing learning, automating tasks, enhancing presentations, generating clinical cases, and providing real-time feedback. 

References

OpenAI. (2023). ChatGPT. Retrieved from https://www.openai.com/blog/chatgpt/

Topol E. Deep medicine: how artificial intelligence can make healthcare human again. Hachette UK; 2019.

Dilsizian SE, Siegel EL. Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr Cardiol Rep. 2014; 16(1): 441. doi:10.1007/s11886-013-0441-8.

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature. 2017; 542 (7639):115-118. doi:10.1038/nature21056.

Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, et al. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018; 15(11):e1002686.doi:10.1371/journal. Pmed.1002686.

Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2017; 2(4). Stroke Vasc Neurol. 2017; 2: doi:10.1136/svn-2017-000101

Matheny ME, Whicher D, Israni ST. Artificial intelligence in health care: a report from the national academy of medicine. JAMA. 2020; 323(6):509-510.

Obermeyer Z, Emanuel EJ. Predicting the Future -Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016; 375(13): 1216-1219. doi:10.1056/NEJMp16 06181.

Parikh RB, Obermeyer Z, Navathe AS. Regulation of predictive analytics in medicine. Science. 2019; 363(6429):810-812. doi:10.1126/science.aaw0029.

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Published

06/29/2024

How to Cite

1.
Sethi A. Artificial Intelligence in Health Professions Education. J Shalamar Med Dent Coll [Internet]. 2024 Jun. 29 [cited 2024 Nov. 7];5(1):1-3. Available from: https://journal.smdc.edu.pk/index.php/journal/article/view/227