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Yitu_AICare_Bone_Age met its bone-age error target in China's review

In the maker's trial of 1,000 subjects that China's CMDE reviewed, Yitu_AICare_Bone_Age gave TW3 bone ages within its error target against an expert panel. The report gives no figures.

  • Not rated an organization

    The trial measured agreement with an expert panel, it did not time the reading and the report gives no result from use after approval.

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

An expert panel's TW3-RUS and TW3-Carpal bone ages as the gold standard, with a preset error target. Measured.

The system’s part
Not isolated. The trial compared the software's bone ages with an expert panel's against a preset error target. It did not compare reading with and without the software, and it did not measure reading time. The report says that the product uses deep learning.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Reduced Task Time
System
Yitu_AICare_Bone_Age (儿童手部X射线影像骨龄辅助评估软件)
Made by
Hangzhou Yitu Healthcare Technology Co., Ltd. (杭州依图医疗技术有限公司)
Used by
Hangzhou Yitu Healthcare Technology (prospective registration trial with 1,000 subjects at four institutions)
Where
Four clinical institutions that the report does not name, for a registration in China
Stage
Tested in a laboratory
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Estimating the Quantifiable Characteristics of Products, Events, or Information, Processing Information
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:儿童手部X射线影像骨龄辅助评估软件 (technical review report for the registration of pediatric hand X-ray bone age assessment-aid software), acceptance no. CQZ2000273, applicant 杭州依图医疗技术有限公司. 15 March 2021. Section 四、产品受益风险判定 (benefit-risk determination).

    在临床性能满足临床需求的基础上,能够有效提高医师阅片效率

Details

AI system

Reported configuration

Release 2 (full version 2.2.0)

Workflow

The software located ossification centers on hand and wrist X-rays with deep learning. It calculated TW3-RUS and TW3-Carpal bone ages. An expert panel's TW3 bone ages served as the gold standard.

Follow-up

Conditions for replication

Patients are aged 0.5 to 18 and do not have cone-shaped or deformed epiphyses. Trained doctors use the result and do not base a clinical decision on the software alone.

Entry details

Sector

Healthcare.

Purpose

Hangzhou Yitu Healthcare Technology built Yitu_AICare_Bone_Age to help trained doctors assess bone age by the TW3 method from hand and wrist X-rays of people aged 0.5 to 18.

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). Yitu_AICare_Bone_Age met its bone-age error target in China's review (AIBD-1077). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1077.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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