Kabir Md Mohsin, Rahman Ashifur, Hasan Md Nahid, Mridha M F
School of Innovation, Design and Engineering, Mälardalens University, Västerås, 722 20, Sweden.
Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Mirpur-2, Dhaka, 1216, Bangladesh.
Comput Biol Med. 2025 Feb;185:109531. doi: 10.1016/j.compbiomed.2024.109531. Epub 2024 Dec 14.
Computer vision has emerged as a promising technology with numerous applications in healthcare. This systematic review provides an overview of advancements and challenges associated with computer vision in healthcare. The review highlights the application areas where computer vision has made significant strides, including medical imaging, surgical assistance, remote patient monitoring, and telehealth. Additionally, it addresses the challenges related to data quality, privacy, model interpretability, and integration with existing healthcare systems. Ethical and legal considerations, such as patient consent and algorithmic bias, are also discussed. The review concludes by identifying future directions and opportunities for research, emphasizing the potential impact of computer vision on healthcare delivery and outcomes. Overall, this systematic review underscores the importance of understanding both the advancements and challenges in computer vision to facilitate its responsible implementation in healthcare.
计算机视觉已成为一项颇具前景的技术，在医疗保健领域有众多应用。本系统综述概述了与医疗保健领域计算机视觉相关的进展和挑战。该综述突出了计算机视觉取得重大进展的应用领域，包括医学成像、手术辅助、远程患者监测和远程医疗。此外，它还探讨了与数据质量、隐私、模型可解释性以及与现有医疗系统集成相关的挑战。还讨论了伦理和法律方面的考虑因素，如患者同意和算法偏差。综述最后确定了未来的研究方向和机会，强调了计算机视觉对医疗保健服务和结果的潜在影响。总体而言，本系统综述强调了理解计算机视觉的进展和挑战对于在医疗保健中负责任地实施它的重要性。
