Artificial Intelligence: A Review of Progress and Prospects in Medicine and Healthcare

Saurav Mishra
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引用次数: 3

Abstract

Andrew NG, a leading philosopher in the field of Artificial Intelligence (AI) once quoted “AI is the new electricity” which has the potential to transform and drive every industry. The most important driving factor for the AI transformation will be data. Clive Humby, a data science entrepreneur was once quoted saying “data is the new oil” and data analytics being the “combustion engine” will drive the AI led innovations. The rapid rise of Artificial Intelligence technologies in the past decade, has inspired industries to invest in every opportunity for integrating AI solutions to their products. Research, development, and innovation in the field of AI are shaping various industries like automobile, manufacturing, finance, retail, supply chain management, and education among others. The healthcare industry has also been adopting the ways of AI into various workflows within the domain. With the evolution in computing and processing powers coupled with hardware modernizations, the adoption of AI looks more feasible than ever. Research and Innovations are happening in almost every field of healthcare and hospital workflows with the target of making healthcare processes more efficient & accessible, increase the overall state of healthcare, reduce physician stress levels, and increase the patient satisfaction levels. The conventional ways in which healthcare and clinical workflows have been operating are now starting to see the change with the integration of many data driven AI solutions. The digital innovations are making life easy for healthcare professionals allowing them to spend more time listening to the problems of patients and consequently increasing the patient satisfaction levels. However, there are limitations and concerns on security of Protected Health Information which have to be addressed for a seamless amalgamation of AI systems into the healthcare domain. Many papers have been published which mostly talk about one particular field/problem in the healthcare domain. No publications have covered the opportunities provided by AI technologies to the entire healthcare domain. This review paper discusses in detail about the progress AI has been able to make in the healthcare domain holistically and what the future of AI looks like. The paper also discusses about the implementation opportunities various AI technologies like Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision provide in different fields of healthcare and clinical workflows and how Artificial Intelligence systems will boost the capabilities of healthcare professionals in restoring the human touch in patient-physician encounters. A physician’s intuition and judgement will always remain better suited since each case, each health condition, and each person is unique in its own way, but AI methods can help enhance the accuracy of diagnosis, assist physicians in making improved and precise clinical decisions.
人工智能:医学与卫生保健进展与展望综述
人工智能(AI)领域的著名哲学家吴恩达(Andrew NG)曾说过“人工智能是新的电力”,它有可能改变和推动每一个行业。人工智能转型最重要的驱动因素将是数据。数据科学企业家克莱夫·汉比(Clive Humby)曾说过,“数据是新的石油”,数据分析是“内燃机”,将推动人工智能引领的创新。人工智能技术在过去十年中的迅速崛起,激发了各个行业对将人工智能解决方案集成到其产品中的每一个机会进行投资。人工智能领域的研究、开发和创新正在塑造汽车、制造业、金融、零售、供应链管理、教育等各个行业。医疗保健行业也一直在将人工智能的方式应用到该领域的各种工作流程中。随着计算和处理能力的发展以及硬件的现代化,采用人工智能看起来比以往任何时候都更加可行。医疗保健和医院工作流程的几乎每个领域都在进行研究和创新,其目标是提高医疗保健流程的效率和可访问性,提高医疗保健的整体状态,减少医生的压力水平,并提高患者的满意度。随着许多数据驱动的人工智能解决方案的整合,医疗保健和临床工作流程的传统操作方式现在开始发生变化。数字创新使医疗保健专业人员的生活变得更加轻松,使他们能够花更多的时间倾听患者的问题,从而提高患者的满意度。然而,对于受保护的健康信息的安全性存在限制和担忧,必须解决人工智能系统与医疗保健领域的无缝合并。已经发表的许多论文主要讨论医疗保健领域的一个特定领域/问题。没有出版物涵盖人工智能技术为整个医疗保健领域提供的机会。这篇综述文章详细讨论了人工智能在医疗保健领域所取得的进展,以及人工智能的未来。本文还讨论了各种人工智能技术(如机器学习、深度学习、强化学习、自然语言处理、计算机视觉)在医疗保健和临床工作流程的不同领域提供的实施机会,以及人工智能系统将如何提高医疗保健专业人员在医患接触中恢复人性感的能力。医生的直觉和判断总是更合适,因为每个病例、每个健康状况和每个人都有自己独特的方式,但人工智能方法可以帮助提高诊断的准确性,帮助医生做出改进和精确的临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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