Tripathi Divya, Hajra Kasturee, Mulukutla Aditya, Shreshtha Romi, Maity Dipak
School of Health Sciences, University of Petroleum and Energy Studies, Dehradun 248007, Uttarakhand, India.
School of Public Health, SRM Medical College, Chennai 603203, Tamil Nadu, India.
Bioengineering (Basel). 2025 Feb 8;12(2):163. doi: 10.3390/bioengineering12020163.
Artificial intelligence (AI) is a growing area of computer science that combines technologies with data science to develop intelligent, highly computation-able systems. Its ability to automatically analyze and query huge sets of data has rendered it essential to many fields such as healthcare. This article introduces you to artificial intelligence, how it works, and what its central role in biomedical engineering is. It brings to light new developments in medical science, why it is being applied in biomedicine, key problems in computer vision and AI, medical applications, diagnostics, and live health monitoring. This paper starts with an introduction to artificial intelligence and its major subfields before moving into how AI is revolutionizing healthcare technology. There is a lot of emphasis on how it will transform biomedical engineering through the use of AI-based devices like biosensors. Not only can these machines detect abnormalities in a patient's physiology, but they also allow for chronic health tracking. Further, this review also provides an overview of the trends of AI-enabled healthcare technologies and concludes that the adoption of artificial intelligence in healthcare will be very high. The most promising are in diagnostics, with highly accurate, non-invasive diagnostics such as advanced imaging and vocal biomarker analyzers leading medicine into the future.
人工智能（AI）是计算机科学中一个不断发展的领域，它将多种技术与数据科学相结合，以开发智能、高计算能力的系统。其自动分析和查询海量数据集的能力使其在医疗保健等许多领域变得至关重要。本文向您介绍人工智能、其工作原理以及它在生物医学工程中的核心作用。它揭示了医学科学的新发展、其在生物医学中应用的原因、计算机视觉和人工智能的关键问题、医学应用、诊断以及实时健康监测。本文先介绍人工智能及其主要子领域，然后探讨人工智能如何变革医疗技术。文中着重阐述了它将如何通过使用生物传感器等基于人工智能的设备来改变生物医学工程。这些机器不仅能够检测患者生理上的异常，还能实现对慢性健康状况的跟踪。此外，本综述还概述了人工智能驱动的医疗技术的发展趋势，并得出结论，认为人工智能在医疗保健领域的应用将会非常广泛。最具前景的领域是诊断，诸如先进成像和声音生物标志物分析仪等高度准确、非侵入性的诊断技术正在引领医学走向未来。
