The healthcare industry is leveraging computer vision and machine learning to drive innovation in various areas. Key challenges include rising healthcare costs, a shortage of physicians, and time-intensive electronic health records (EHR) systems. Despite these challenges, computer vision is being used to enhance detection and diagnosis capabilities in medical imaging, monitor disease progression, and improve preoperative surgical planning. Additionally, AI-powered glasses are being developed to assist people with vision loss, while companies like Hologic, Iterative Health, Pixee Medical, SafelyYou, and others are working on various projects using computer vision and machine learning to transform healthcare. The National Institutes of Health is creating and maintaining publicly available health-related datasets, including machine learning and computer vision datasets such as DeepLesion, OASIS, and ChestX-ray8.