Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.
Key Details
- 1New analysis looked at 903 healthcare AI devices approved by FDA between 1995 and 2024.
- 2Of these, 5% (43 devices) were recalled, with a median recall interval of 458 days.
- 3Radiology comprised 692 of these devices, with a 4.3% (30 devices) recall rate.
- 4Radiology AI devices are 52% more likely to face recall than AI devices in other specialties.
- 5Missing clinical study information and deviations from intended use were major risk factors for recall.
- 6Problems with temperature and labeling led to lower recall risk, while market surveillance flags increased it.
Why It Matters
This study is the first to systematically quantify recall risk factors for AI-enabled devices, highlighting the urgent need for rigorous validation and postmarket surveillance, especially within radiology. Increased transparency and robust premarket evaluation may help mitigate safety risks as AI adoption accelerates.
Source
Radiology Business
Related News
•Radiology Business
Majority of Patients Want Disclosure When AI Used in Imaging
A new survey finds that nearly all patients want to be informed when AI is utilized in medical imaging interpretation.
•Radiology Business
Generative AI Set to Transform Chest X-ray Reporting and Quality
Generative AI models can now produce full radiology reports from chest X-rays, promising increased diagnostic accuracy and efficiency.
•Radiology Business
Study Finds Disparities in Access to Stroke Imaging AI Tools
Research shows access to AI stroke detection tools is concentrated in resource-rich hospitals despite Medicare incentives.