生物信号在医学中的应用和人工智能的挑战

Mudrakola Swapna, Uma Maheswari Viswanadhula, Dr Rajanikanth Aluvalu, Vijayakumar Vardharajan, K. Kotecha
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引用次数: 17

摘要

人工智能(AI)基于生成的一致数据,将医疗领域的各个诊断层面广泛连接起来。不同类型的生物信号可用于监测患者的病情和决策。医疗设备使用信号向医护人员传递信息。人工智能算法和方法将有助于预测健康问题和检查器官的健康状况,而人工智能预测、分类和回归算法正在帮助医疗行业防范健康危害。健康状况的早期预测和发现将指导人们保持健康。本文阐述了人工智能在医学领域应用生物信号的范围。它将说明与通过物联网传感器产生的生物信号相关的可能案例研究。讨论了回顾性发生的生物信号,并确定了利用生物信号进行医学诊断的新挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence
Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on the congruous data generated. Different types of bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals to communicate information to care staff. AI algorithms and approaches will help to predict health problems and check the health status of organs, while AI prediction, classification, and regression algorithms are helping the medical industry to protect from health hazards. The early prediction and detection of health conditions will guide people to stay healthy. This paper represents the scope of bio-signals using AI in the medical area. It will illustrate possible case studies relevant to bio-signals generated through IoT sensors. The bio-signals that retrospectively occur are discussed, and the new challenges of medical diagnosis using bio-signals are identified.
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