生物芯片与人工智能的集成开辟了新的可能性，预计将在未来五年内彻底改变智能医疗工具。生物芯片的小型化、多功能、快速、高通量的样本处理和传感能力与人工智能的计算数据处理和预测能力相结合，使医疗专业人员能够快速有效地收集和分析大量数据，从而实现更准确、及时的诊断和预后评估。生物芯片作为智能医疗设备，可以持续监测患者症状。集成虚拟助理有可能向用户和医疗保健从业者发送预测反馈，为个性化和预测医学铺平道路。这篇综述探讨了当前最先进的生物芯片技术，包括基因芯片、芯片上的器官和神经植入物，以及人工智能辅助生物芯片在癌症、糖尿病等医疗实践中的诊断和治疗效用、传染病和神经系统疾病。为特定的生物医学应用选择合适的人工智能模型，并探索应对当前挑战的可能解决方案。本文调查了生物芯片功能的机器学习模型的进展，对生物医学未来的生物芯片进行了回顾，这是跟上医疗保健趋势的重要指南，同时激发了生物医学工程、医学和机器学习领域之间的跨学科合作.版权所有 © 2024 作者。由 Elsevier Masson SAS 出版。保留所有权利。

The integration of biochips with AI opened up new possibilities and is expected to revolutionize smart healthcare tools within the next five years. The combination of miniaturized, multi-functional, rapid, high-throughput sample processing and sensing capabilities of biochips, with the computational data processing and predictive power of AI, allows medical professionals to collect and analyze vast amounts of data quickly and efficiently, leading to more accurate and timely diagnoses and prognostic evaluations. Biochips, as smart healthcare devices, offer continuous monitoring of patient symptoms. Integrated virtual assistants have the potential to send predictive feedback to users and healthcare practitioners, paving the way for personalized and predictive medicine. This review explores the current state-of-the-art biochip technologies including gene-chips, organ-on-a-chips, and neural implants, and the diagnostic and therapeutic utility of AI-assisted biochips in medical practices such as cancer, diabetes, infectious diseases, and neurological disorders. Choosing the appropriate AI model for a specific biomedical application, and possible solutions to the current challenges are explored. Surveying advances in machine learning models for biochip functionality, this paper offers a review of biochips for the future of biomedicine, an essential guide for keeping up with trends in healthcare, while inspiring cross-disciplinary collaboration among biomedical engineering, medicine, and machine learning fields.Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.