WEDNESDAY, July 16, 2025 — A new AI-powered retina tracker can help doctors screen for a vision-destroying diabetic eye disease, researchers say.

2025年7月16日，星期三——研究人员表示，一款新型的AI驱动视网膜追踪器可以帮助医生筛查一种破坏视力的糖尿病眼病。

The Simple Mobile AI Retina Tracker (SMART) program achieved greater than 99% accuracy in screening for

简单移动人工智能视网膜追踪器（SMART）程序在筛查中达到了超过99%的准确率

diabetic retinopathy

糖尿病视网膜病变

, researchers reported Monday at the annual meeting of The Endocrine Society in San Francisco.

，研究人员周一在旧金山举行的内分泌学会年会上报告。

The program “uses cutting-edge deep learning algorithms to analyze retinal fundus images quickly and accurately, on internet-powered devices including basic smartphones,” researcher

该程序“利用尖端的深度学习算法，可以在包括基础智能手机在内的联网设备上快速准确地分析视网膜眼底图像，”研究人员表示。

Jansi Rani Sethuraj

詹西·拉尼·塞图拉杰

of the University of Texas Health Sciences Center in Houston said in a news release.

休斯顿德克萨斯大学健康科学中心在新闻发布中表示。

“The SMART AI application enables ophthalmologists to streamline patient screening, empowers primary care providers to incorporate eye exams into routine visits, and expands access to high-quality retinal assessments in regions lacking specialized ophthalmic care,” Sethuraj added.

“SMART AI应用程序使眼科医生能够简化患者筛查，使初级保健提供者能够将眼科检查纳入常规检查，并在缺乏专业眼科护理的地区扩大获得高质量视网膜评估的机会，”塞图拉吉补充道。

Diabetic retinopathy is a condition in which leaky blood vessels damage a patient’s retina, the light-sensing wall of tissue that lines the back of the eye.

糖尿病视网膜病变是一种由渗漏的血管损伤患者视网膜的疾病，视网膜是位于眼球后部感知光线的组织壁。

It’s a leading cause of preventable blindness that affects more than 100 million people around the world, researchers said in background notes.

研究人员在背景资料中说，这是全球超过一亿人受影响的可预防失明的主要原因。

To create the program, researchers trained an artificial intelligence (AI) model on several thousand retinal images from a diverse group of patients spanning six continents.

为了创建该程序，研究人员使用来自横跨六大洲的多样化患者群体的数千张视网膜图像训练了一个AI模型。

Researchers then tested the AI on another set of images and found it could detect diabetic retinopathy nearly all the time, with a processing speed of less than one second per image.

研究人员随后在另一组图像上测试了该人工智能，发现它几乎每次都能检测出糖尿病性视网膜病变，处理速度不到每张图像一秒。

The tracker also was able to distinguish diabetic retinopathy from other eye diseases, researchers added.

研究人员还补充说，该追踪器还能区分糖尿病性视网膜病变和其他眼部疾病。

“By democratizing eye care through universally accessible mobile technology, this innovation has the potential to screen billions globally, reducing vision loss from diabetic retinopathy while transforming healthcare delivery systems,” researcher

“通过普遍可及的移动技术使眼科护理民主化，这项创新有潜力在全球范围内筛查数十亿人，减少糖尿病视网膜病变导致的视力丧失，同时改变医疗保健提供系统，”研究人员表示。

Dr. Elangovan Krishnan

Elangovan Krishnan 博士

with AIM Doctor in Houston said in a news release.

休斯顿的AIM医生在新闻发布会上表示。

“This research proves that AI can be a force for good, bridging gaps in care and bringing hope to millions at risk of losing their sight,” he added.

“这项研究证明，人工智能可以成为一股向善的力量，弥合护理差距，为数百万面临失明风险的人带来希望，”他补充道。

Findings presented at medical meetings should be considered preliminary until published in a peer-reviewed journal.

在医学会议上发表的研究结果，在发表于同行评审的期刊之前，应被视为初步结果。

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