Artificial Intelligence in Medical Science
Keywords:
artificial intelligence, medical scienceAbstract
Artificial Intelligence (AI), though first conceptualized in 1956, has seen rapid progress in the last decade—especially in the medical field. It empowers healthcare by simulating human intelligence through machine learning, data analysis, and self-correction. AI assists in processing massive volumes of patient records, thus enhancing diagnosis, treatment planning, and personalized care. It reduces documentation burdens by digitizing data and enables tailored platforms for various medical tasks. With the ability to interpret language, images, and other complex data, AI boosts the precision and efficiency of surgical procedures and risk predictions. The success of these systems, however, relies heavily on the quality of data they are trained on.
Downloads
References
Haleem A, Javaid M, Vaishya, R. Industry 4.0 and its applications in orthopaedics. J ClinOrthop Trauma. 2019: 10(3): 615-616.
Jha S, Topol EJ. Information and artificial intelligence. J Am CollRadiol. 2018; 15(3 Pt B): 509–511.
Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013; 309(13):1351–1352.
Caocci G, Baccoli R, Vacca A, Mastronuzzi A, Bertaina A, Piras E, et al. Comparison between an artificial neural network and logistic regression in predicting acute graft-vs-host disease after unrelated donor hematopoietic stem cell transplantation in thalassemia patients. Exp Hematol. 2010;38(5):426–33.
Haleem A, Javaid M, Khan IH. Current status and applications of Artificial Intelligence (AI) in medical field: An overview. Curr Med Res Pract. 2019;9(6):231–7.
Hai TS, Thuy NT. Image classification using support vector machine and artificial neural network. Int. J. Inf. Technol. Comput. Sci. 2012; 4: 32–38.
Samek, W., Wiegand, T., & Müller, K.-R. (2017). Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models. arXiv preprint arXiv:1708.08296.
Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366(6464):447–53.
