Skip to content

Airdoc-AIFUNDUS met its retinopathy targets in China's review

In the maker's trial that China's CMDE reviewed, Airdoc-AIFUNDUS reached its preset sensitivity and specificity targets for diabetic retinopathy. The report gives no figures.

  • Not rated an organization

    The report gives no figures from the maker's pre-market trial and does not say that the software's advice guided care.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Intended benefit.
Evidence

found, the grade of this recordstudiedreportedclaimed

An independent regulatory document supports the benefit.

Compared with

Preset targets for sensitivity and specificity, with senior doctors' reading as the reference standard. Measured.

The system’s part
Not isolated. The trial measured the software's sensitivity and specificity against senior doctors' reading and set them against preset targets. It did not compare diagnoses with and without the software. The trial was the maker's own. The report says that the software uses a deep learning algorithm based on convolutional neural networks.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Improved Task Accuracy
System
Airdoc-AIFUNDUS (糖尿病视网膜病变眼底图像辅助诊断软件)
Made by
Shanghai Airdoc Medical Technology Co., Ltd. (上海鹰瞳医疗科技有限公司)
Used by
Shanghai Airdoc Medical Technology (prospective multicenter registration trial)
Where
Trial sites in China that the report does not name
Stage
In a pilot
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events
Collections
Scrutiny and findings
Last revised
1 November 2026

Sources

  1. Regulatory document, by authors with no tie to the system.

    Center for Medical Device Evaluation (CMDE), National Medical Products Administration, China. 医疗器械产品注册技术审评报告:糖尿病视网膜病变眼底图像辅助诊断软件 (technical review report for the registration of diabetic retinopathy fundus image diagnosis-aid software), acceptance no. CQZ1900653, applicant 上海鹰瞳医疗科技有限公司. 31 July 2020. Section 三、临床评价摘要 (clinical evaluation summary).

    糖尿病性视网膜病变的灵敏度与特异性结果达到预期目标值,在试验过程中未发生不良事件和严重不良事件
    经系统评价后,建议准予注册。鉴于该产品远期安全性、有效性尚需进一步追踪,建议申请人在注册后进行以下工作:结合糖尿病视网膜病变分期、基层医疗卫生机构使用情况,对临床转诊的准确性进一步开展临床研究工作。

Details

AI system

Reported configuration

Release V1.0 (full version V1.0.2020.04.02.01)

Workflow

The software analyzed color fundus photographs of both eyes, centered on the optic disc and on the macula, taken without dilating the pupils. An automatic quality check accepted the images before a deep learning module on a cloud server assessed them. Senior doctors' reading served as the reference standard.

Follow-up

Conditions for replication

Patients are adults with diabetes. Images come from the specified fundus camera models and pass the automatic quality check. Physicians make the diagnosis and do not base a clinical decision on the software's result alone.

Entry details

Sector

Healthcare.

Purpose

Shanghai Airdoc Medical Technology built Airdoc-AIFUNDUS to advise practicing physicians whether fundus photographs of adults with diabetes show moderate non-proliferative diabetic retinopathy or worse and whether further examination is needed.

30 more questions not yet checked

model, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Airdoc-AIFUNDUS met its retinopathy targets in China's review (AIBD-1081). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1081.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

BibTeX Data Field definitions