The present work illustrates the promising intervention of smart diagnostics devices through artificial intelligence (AI) and mechanobiological approaches in health care practices. The artificial intelligence and mechanobiological approaches in diagnostics widen the scope for point of care techniques for the timely revealing of diseases by understanding the biomechanical properties of the tissue of interest. Smart diagnostic device senses the physical parameters due to change in mechanical, biological, and luidic properties of the cells and to control these changes, supply the necessary drugs immediately using AI techniques. The latest techniques like sweat diagnostics to measure the overall health, Photoplethysmography (PPG) for real-time monitoring of pulse waveform by capturing the reflected signal due to blood pulsation), Micro-electromechanical systems (MEMS) and Nano-electromechanical systems (NEMS) smart devices to detect disease at its early stage, lab-on-chip and organ-on-chip technologies, Ambulatory Circadian Monitoring device (ACM), a wrist-worn device for Parkinson’s disease have been discussed. The recent and futuristic smart diagnostics tool/techniques like emotion recognition by applying machine learning algorithms, atomic force microscopy that measures the fibrinogen and erythrocytes binding force, smartphone-based retinal image analyser system, image-based computational modeling for various neurological disorders, cardiovascular diseases, tuberculosis, predicting and preventing of Zika virus, optimal drugs and doses for HIV using AI, etc. have been reviewed. The objective of this review is to examine smart diagnostics devices based on artificial intelligence and mechanobiological approaches, with their medical applications in healthcare. This review determines that smart diagnostics devices have potential applications in healthcare, but more research work will be essential for prospective accomplishments of this technology.

目前的工作说明了通过人工智能 (AI) 和机械生物学方法在医疗保健实践中对智能诊断设备的有希望的干预。诊断中的人工智能和机械生物学方法拓宽了现场护理技术的范围，通过了解感兴趣组织的生物力学特性，及时发现疾病。智能诊断设备可感知由于细胞机械、生物和流体特性变化引起的物理参数，并控制这些变化，使用 AI 技术立即提供必要的药物。最新的技术，如测量整体健康状况的汗液诊断、通过捕获由于血液脉动引起的反射信号来实时监测脉搏波形的光电容积描记法 (PPG)，用于早期检测疾病的微机电系统 (MEMS) 和纳米机电系统 (NEMS) 智能设备、芯片实验室和芯片器官技术、动态昼夜节律监测设备 (ACM)、腕戴式已经讨论了帕金森病的设备。最近和未来的智能诊断工具/技术，如通过应用机器学习算法进行情绪识别、测量纤维蛋白原和红细胞结合力的原子力显微镜、基于智能手机的视网膜图像分析系统、基于图像的各种神经系统疾病、心血管疾病的计算建模、结核病、寨卡病毒的预测和预防、使用人工智能治疗艾滋病毒的最佳药物和剂量等。本次审查的目的是检查基于人工智能和机械生物学方法的智能诊断设备及其在医疗保健中的医疗应用。本综述确定智能诊断设备在医疗保健领域具有潜在应用，但更多的研究工作对于这项技术的前瞻性成就至关重要。