Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions

Authors

  • Manali Sarkar Intern, MGM Medical College Navi, Mumbai, India https://orcid.org/0000-0002-6732-2907
  • Mihnea-Alexandru Găman MD, PhD(c), Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania & Department of Hematology, Center of Hematology and Bone Marrow Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania. Scientific Editor, IJMS https://orcid.org/0000-0001-7133-8875
  • Juan C. Puyana MD, FACS, School of Medicine, Department of Surgery, Professor of Surgery, Critical Care Medicine, and Clinical Translational Science, Director for Global Health-Surgery, University of Pittsburgh, Pittsburgh, PA, USA. O'Brien Professor of Global Surgery for Royal College of Surgeons in Ireland (RCSI). Editorial Board Member, IJMS https://orcid.org/0000-0003-4284-4693
  • Francisco J. Bonilla-Escobar MD, MSc, PhD, Department of Ophtalmology; University of Washington, Seattle, WA, USA. Fundación Somos Ciencia al Servicio de la Comunidad, Fundación SCISCO/Science to Serve the Community Foundation, SCISCO Foundation, Cali Colombia. Grupo de investigación en Visión y Salud Ocular, VISOC, Universidad del Valle, Cali, Colombia. Editor in Chief, IJMS. https://orcid.org/0000-0002-0224-3482

DOI:

https://doi.org/10.5195/ijms.2024.2626

Keywords:

Artificial Intelligence, Medical Education, Training Support, Machine Learning, Algorithms, Research Design, Data Analysis, Natural Language Processing, Ethics, Medical, Bias (Epidemiology), Personalized Medicine, Academic Integrity, Curriculum, Learning, Decision Making, Computer-Assisted, Diagnostic Imaging, Information Storage and Retrieval, Patient Safety, Data Privacy, Technology Assessment, Biomedical

Abstract

AI's rise in medicine promises personalized care, better diagnoses, and innovative training. It analyzes images, predicts diseases, and tailors treatments. However, ethical concerns loom. Biased data can lead to unfair diagnoses, and some AI systems lack transparency, raising trust issues. The editorial proposes solutions: ethical frameworks, transparent AI, and legal regulations. It envisions a future where AI complements doctors, requiring collaboration across fields. To prepare future physicians, medical schools need to integrate AI and ethics into their curriculum. AI holds immense potential, but challenges must be addressed. Through collaboration and responsible development, AI can revolutionize medicine alongside human expertise.

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References

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This image serves as a digital illustration for the editorial titled 'Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions.' It features a futuristic scene where a robotic arm conducts a surgical procedure on a human patient, symbolizing the precision of AI in medical applications. Surrounding the operating table, medical professionals and students utilize virtual reality headsets and holographic displays for learning and simulation, highlighting AI's role in medical education. The background incorporates elements of binary code and neural network patterns, representing the technological foundation of AI. The color scheme of blues and whites suggests innovation, cleanliness, and trust in the intersection of AI with healthcare.

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Published

2024-04-12 — Updated on 2024-07-25

How to Cite

Sarkar, M., Găman, M.-A., Puyana, J. C., & Bonilla-Escobar, F. J. (2024). Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions. International Journal of Medical Students, 12(1), 9–13. https://doi.org/10.5195/ijms.2024.2626

Issue

Vol. 12 No. 1 (2024)

Section

Editorial

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