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AI-BAC helped doctors find more breast lesions on mammograms

In Deepwise's crossover trial that China's CMDE reviewed, doctors reading mammograms with AI-BAC detected 87.32% of breast lesions, against 66.20% without it.

  • Not rated an organization

    Doctors read cases in the maker's pre-market trial, and the report does not say that the marks guided any patient's 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

The same doctors reading without the software, with three breast imaging experts' consensus as the reference. Measured.

Without the system
66.20% lesion-level sensitivity
With it
87.32% lesion-level sensitivity
The system’s part
Doctors read the same cases with and without the software in a randomized crossover design, so the gain in sensitivity is attributed to the software. The trial was the maker's own, and the reference was three experts' consensus.
Not yet checked
LimitsCosts and harmsLearns from dataLater outcome
Benefit type
Improved Task Accuracy
System
AI-BAC (乳腺X射线图像辅助检测软件)
Made by
Deepwise (杭州深睿博联科技有限公司)
Used by
Deepwise (randomized crossover reader trial with 855 cases at three institutions)
Where
Three trial 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
Identifying Objects, Actions, and Events, Analyzing Data or 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:乳腺X射线图像辅助检测软件 (technical review report for the registration of mammography image detection-aid software), acceptance no. CQZ2200165, applicant 杭州深睿博联科技有限公司. 3 January 2023. Section 三、临床评价概述 (clinical evaluation), pp. 6-7.

    以病灶为单位,试验组病灶检出灵敏度为87.32%,95%可信区间[84.16%-90.48%]
    技术审评经系统评价产品安全性和有效性后,基于当前认知水平,认为该产品临床使用受益大于风险,注册申报资料符合现行技术审评要求,建议予以注册。

Details

AI system

Reported configuration

Release 2 (full version 2.0.0.1)

Workflow

A deep learning module marked suspected breast lesions on mammograms for the reading doctor. Doctors at three institutions read each case with and without the software in randomized order.

Follow-up

Conditions for replication

Patients are women over 40. Trained doctors use the marks and do not base clinical decisions on them alone.

Entry details

Sector

Healthcare.

Purpose

Deepwise built AI-BAC to help trained doctors detect suspicious calcifications, masses, asymmetries and architectural distortions on mammograms of women over 40.

29 more questions not yet checked

model, provider, role, configuration, inputs and outputs, autonomy, human oversight, 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). AI-BAC helped doctors find more breast lesions on mammograms (AIBD-1071). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1071.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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