用于医学诊断的移动成像解决方案：趋势与应用
Mobile Imaging Solutions for Medical Diagnosis: Trends and Applications
- Miro（Miro公司）
- NVIDIA（英伟达）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文综述了基于移动图像的医学诊断技术，分析了各类应用方案的优缺点，指出其低成本、可及性优势及未来研究方向，旨在支持资源匮乏地区的疾病诊断与监测。
AI中文摘要：
处理能力、相机技术和移动图像分析的进步，使得智能手机和其他移动设备（如笔记本电脑）越来越适用于医学诊断和医疗保健应用。研究人员已开发出低成本解决方案，用于早期检测和监测各种健康状况，包括眼科和耳鼻喉疾病、营养不良、心率变异性、皮肤和口腔疾病以及损伤，这些方案利用智能手机和网络摄像头等非医疗设备拍摄的图像。本综述考察了基于移动图像的医学诊断的现有研究，重点强调其在实现低成本和可及医疗保健方面的潜力。我们比较分析了不同医疗保健应用类别中的最先进解决方案，审视其优点和局限性。基于此分析，我们确定了移动图像诊断工具的理想特征，并指出了现有方法已取得进展的领域以及需要进一步研究的领域。我们还讨论了特定应用和常见的挑战，并概述了未来研究的方向。总体而言，本研究提供了基于移动图像的医疗保健解决方案的全面概述，及其在支持低成本疾病诊断和监测方面的潜力，特别是对于偏远和资源受限环境中的服务不足人群。
英文摘要：
Advances in processing power, camera technologies, and mobile image analysis have made smartphones and other mobile devices, such as laptops, increasingly suitable for medical diagnosis and healthcare applications. Researchers have developed low-cost solutions for the early detection and monitoring of various health conditions, including eye and ENT diseases, malnutrition, heart rate variability, skin and oral conditions, and injuries, using images captured by non-medical devices such as smartphones and webcams. This survey examines existing research on mobile image-based medical diagnosis, with an emphasis on its potential to enable low-cost and accessible healthcare. We comparatively analyze state-of-the-art solutions across different healthcare application categories, examining their advantages and limitations. Based on this analysis, we identify desirable characteristics of mobile image-based diagnostic tools and highlight areas where existing approaches have made progress as well as areas requiring further research. We also discuss application-specific and common challenges and outline directions for future research. Overall, this study provides a comprehensive overview of mobile image-based healthcare solutions and their potential to support low-cost disease diagnosis and monitoring, particularly for underserved populations in remote and resource-constrained settings.
