PDF(Pubmed)
Abstract：
The most widely accepted and used type of digital pathology (DP) is whole-slide imaging (WSI). The USFDA granted two WSI system approvals for primary diagnosis, the first in 2017. In Latin America, DP has the potential to reshape healthcare by enhancing diagnostic capabilities through artificial intelligence (AI) and standardizing pathology reports. Yet, we must tackle regulatory hurdles, training, resource availability, and unique challenges to the region. Collectively addressing these hurdles can enable the region to harness DP\'s advantages-enhancing disease diagnosis, medical research, and healthcare accessibility for its population. Americas Health Foundation assembled a panel of Latin American pathologists who are experts in DP to assess the hurdles to implementing it into pathologists\' workflows in the region and provide recommendations for overcoming them. Some key steps recommended include creating a Latin American Society of Digital Pathology to provide continuing education, developing AI models trained on the Latin American population, establishing national regulatory frameworks for protecting the data, and standardizing formats for DP images to ensure that pathologists can collaborate and validate specimens across the various DP platforms.
摘要：
最广泛接受和使用的数字病理学（DP）类型是全载玻片成像（WSI）。USFDA批准了两个WSI系统的初步诊断，2017年第一次。在拉丁美洲,DP有可能通过人工智能（AI）和标准化病理报告来增强诊断能力，从而重塑医疗保健。然而，我们必须解决监管障碍，培训,资源可用性，以及对该地区的独特挑战。共同解决这些障碍可以使该地区利用DP的优势-增强疾病诊断，医学研究,以及其人口的医疗保健可及性。美洲卫生基金会召集了一个拉丁美洲病理学家小组，他们是DP专家，以评估将其纳入该地区病理学家工作流程的障碍，并为克服这些障碍提供建议。建议的一些关键步骤包括创建拉丁美洲数字病理学学会以提供继续教育，开发针对拉丁美洲人口训练的人工智能模型，建立保护数据的国家监管框架，并标准化DP图像的格式，以确保病理学家可以跨各种DP平台协作和验证标本。
