Abstract
Artificial intelligence (AI) is the machine-based approach for processing various communications and data in computers for defining their actions in future performances. Different types of machine learning are described in medical sciences for proceedings in medical education, medical research, and clinical trials and in treatment of the diseases after appropriate diagnosis. These require less time and efforts of medical professionals and bring a more efficient way to fulfill the standards of medicine. The clear understanding of the workforce accomplishments is required for the future doctors to perform well, alongside the AI. Awareness of AI in the field of medicine is needed for general population to give them an idea for utilization of all new technologies, thus enlightening the feasibility of machine learning at consumer level as well. In future, AI will enhance the efficiency and effectiveness of healthcare delivery in all sectors of medicine and surgery.
Reference29 articles.
1. 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):230-243. DOI: 10.1136/svn-2017-000101
2. Amisha MP, Pathania M, Rathaur VK. Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care. 2019;8:2328-2331
3. XSOLIS Insights [Internet]. 2021. Available from: https://www.google.com/search?q=the+evolution+of+artificial+intelligence+in+healthcare [Accessed: April 7, 2023].
4. Wang J, Biljecki F. Unsupervised machine learning in urban studies: A systematic review of applications. Cities. 2022;129:103925
5. Sarker IH. Machine learning: Algorithms, real-world applications and research directions. SN Computer Science. 2021;2:160
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial Intelligence (AI) for Healthcare;Advances in Medical Technologies and Clinical Practice;2024-04-19