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Artificial intelligence in medicine: Current status, challenges, and future prospects
- 1 High school affiliated to Yunnan Normal University
* Author to whom correspondence should be addressed.
Abstract
Artificial intelligence (AI) is profoundly transforming various aspects of the medical field, from disease diagnosis and drug development to personalized treatment and health management. Currently, the research and applications of AI in the medical field mainly focus on medical image analysis, disease diagnosis, drug discovery, genomics, and personalized treatment. This paper reviews the main applications of AI in the medical field, including medical image analysis, genomics, drug discovery, clinical decision support, and patient monitoring. It also discusses the challenges faced by AI in medical applications, such as data privacy, algorithm bias, ethical issues, and regulatory difficulties. Finally, it looks forward to the future development trends of AI in the medical field, including the integration of AI with biotechnology, the rise of explainable AI (XAI), and AI-driven precision medicine. Research shows that AI has been widely applied in the medical field with significant value and broad prospects, but ethical and data privacy issues need to be addressed.
Keywords
artificial intelligence, medicine, diagnosis, clinical decision support, precision medicine
[1]. Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swani, S. M., Blau, H. M., & Threlfall, C. J. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://www.nature.com/articles/nature21056
[2]. Ahmed, R., Green, M., et al. (2024). The Impact of AI on Radiologist Workload in Breast Cancer Screening: A Time-Motion Study in the NHS. European Radiology, 34(4), 2500-2508. https://doi.org/10.1007/s00330-023-10300-x
[3]. Leung, M. K., Delong, A., Alipanahi, B., & Frey, B. J. (2015). Machine learning with deep learning on genomics. Nature Reviews Genetics, 16(6), 321-345. https://www.nature.com/articles/nrg3920
[4]. Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021). Artificial intelligence in drug discovery and development. Drug Discovery Today, 26(1), 80-93. https://www.sciencedirect.com/science/article/pii/S135964462030471X
[5]. Topol, E. J. (2015). The creative destruction of medicine: how digital revolution will create better health care. Basic Books.
[6]. Price, W. N., Gerke, S., & Cohen, I. G. (2019). Potential liability for physicians using artificial intelligence. JAMA, 322(18), 1765-1766. https://jamanetwork.com/journals/jama/article-abstract/2753701
[7]. Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. https://www.science.org/doi/10.1126/science.aax2342
[8]. Shaw, D., & Elger, B. S. (2018). Ethical perspectives on the use of artificial intelligence in health. Swiss Medical Weekly, 148. https://smw.ch/article/doi/smw.2018.14578
[9]. Meskó, B., Radák, Z., & Vágó, H. (2018). Digital health is a cultural transformation of traditional medicine. Maturitas, 116, 109-114. https://www.maturitas.org/article/S0378-5122(18)30242-X/fulltext
[10]. Flores, M., Glusman, G., Brogaard, K., Price, N. D., & Hood, L. (2013). P4 medicine: how systems medicine will transform the healthcare sector and society. Personalized Medicine, 10(6), 565-576. https://www.futuremedicine.com/doi/10.2217/pme.13.57
[11]. Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019). Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(4), e1312. https://wires.onlinelibrary.wiley.com/doi/full/10.1002/widm.1312
[12]. Ribeiro, M. T., Singh, S., & Guestrin, C. (2016). “Why Should I Trust You?”: Explaining the Predictions of Any Classifier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135-1144. https://doi.org/10.1145/2939672.2939778
[13]. Hamburg, M. A., & Collins, F. S. (2010). The path to personalized medicine. New England Journal of Medicine, 363(4), 301-304. https://www.nejm.org/doi/full/10.1056/NEJMp1006304
Cite this article
Fan,Y. (2025). Artificial intelligence in medicine: Current status, challenges, and future prospects. Advances in Engineering Innovation,16(3),1-5.
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