Rahman Md Ashrafur, Victoros Evangelos, Ernest Julianne, Davis Rob, Shanjana Yeasna, Islam Md Rabiul
Nesbitt School of Pharmacy Wilkes University, Wilkes-Barre, PA, USA.
Department of Environmental Sciences, North South University, Bashundhara, Dhaka, Bangladesh.
Clin Pathol. 2024 Jan 22;17:2632010X241226887. doi: 10.1177/2632010X241226887. eCollection 2024 Jan-Dec.
The influence of artificial intelligence (AI) has drastically risen in recent years, especially in the field of medicine. Its influence has spread so greatly that it is determined to become a pillar in the future medical world. A comprehensive literature search related to AI in healthcare was performed in the PubMed database and retrieved the relevant information from suitable ones. AI excels in aspects such as rapid adaptation, high diagnostic accuracy, and data management that can help improve workforce productivity. With this potential in sight, the FDA has continuously approved more machine learning (ML) software to be used by medical workers and scientists. However, there are few controversies such as increased chances of data breaches, concern for clinical implementation, and potential healthcare dilemmas. In this article, the positive and negative aspects of AI implementation in healthcare are discussed, as well as recommended some potential solutions to the potential issues at hand.
近年来，人工智能（AI）的影响力急剧上升，尤其是在医学领域。其影响范围如此之广，以至于它决心成为未来医学世界的一大支柱。在PubMed数据库中进行了与医疗保健领域人工智能相关的全面文献检索，并从合适的文献中检索到了相关信息。人工智能在快速适应、高诊断准确性和数据管理等方面表现出色，有助于提高劳动力生产率。鉴于这种潜力，美国食品药品监督管理局（FDA）不断批准更多机器学习（ML）软件供医护人员和科学家使用。然而，也存在一些争议，如数据泄露风险增加、对临床应用的担忧以及潜在的医疗困境。本文讨论了在医疗保健中实施人工智能的积极和消极方面，并针对当前潜在问题推荐了一些可能的解决方案。
