Kumar Akshara, Gadag Shivaprasad, Nayak Usha Yogendra
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576 104, India.
Adv Pharm Bull. 2021 May;11(3):414-425. doi: 10.34172/apb.2021.049. Epub 2020 Jul 15.
The healthcare sector is considered to be one of the largest and fast-growing industries in the world. Innovations and novel approaches have always remained the prime aims in order to bring massive development. Before the emergence of technology, the healthcare sector was dependent on manpower, which was time-consuming and less accurate with lack of efficiency. With the recent advancements in machine learning, the condition has been steadily revolutionizing. Artificial intelligence (AI) lies in the computer science department, which stresses on the intelligent machines' creation, that work and react just like human beings. Currently, the applications of AI have been expanding into those fields, which was once thought to be the only domain of human expertise such as healthcare sector. In this review, we have shed light on the present usage of AI in the healthcare sector, such as its working, and the way this system is being implemented in different domains, such as drug discovery, diagnosis of diseases, clinical trials, remote patient monitoring, and nanotechnology. We have also briefly touched upon its applications in other sectors as well. The public opinions have also been analyzed and discussed along with the future prospects. We have discussed the merits, and the other side of AI, i.e. the disadvantages in the last part of the manuscript.
医疗保健行业被认为是世界上最大且发展迅速的行业之一。创新和新颖的方法一直是实现大规模发展的首要目标。在技术出现之前，医疗保健行业依赖人力，这既耗时又不够准确，效率低下。随着机器学习的最新进展，这种情况正在稳步变革。人工智能（AI）属于计算机科学领域，它强调创造能像人类一样工作和反应的智能机器。目前，人工智能的应用已经扩展到那些曾经被认为是人类专业知识唯一领域的领域，比如医疗保健行业。在这篇综述中，我们阐述了人工智能在医疗保健行业的当前应用，例如其工作方式，以及该系统在不同领域（如药物发现、疾病诊断、临床试验、远程患者监测和纳米技术）的实施方式。我们还简要提及了它在其他领域的应用。此外，我们分析并讨论了公众意见以及未来前景。在稿件的最后一部分，我们讨论了人工智能的优点以及另一面，即缺点。
