Back to all news
Majority of Parents Trust AI for Detecting Imaging Abnormalities in Children
Tags:Research
A survey shows most parents support AI use in their child's medical imaging, sometimes trusting it over physicians.
Key Details
- 1Survey gathered detailed insights from parents and caregivers about AI in their children's healthcare.
- 2Majority believe AI could be even more accurate than doctors for detecting imaging abnormalities.
- 3Published findings appeared in Insights Into Imaging.
- 4Researchers highlight the importance of stakeholder—especially parental—engagement in pediatric radiology AI deployment.
Why It Matters
Patient trust and acceptance are critical for AI's adoption in pediatric radiology. These findings suggest increasing comfort among parents, which could accelerate AI integration and acceptance in clinical pediatric imaging workflows.
Source
Health Imaging
Related News
•AuntMinnie
Study: Computer Vision Models Best LLMs in Chest CT Breast Abnormality Detection
Computer vision models (CVMs) surpass large language models (LLMs) in accurately labeling incidental breast abnormalities on chest CT scans.
•AuntMinnie
Deep Learning Models Rival Radiologists for Pancreatic Cancer Detection on CT
Deep-learning models achieved comparable or superior accuracy to experienced radiologists in detecting pancreatic cancer on CT scans, especially for small tumors.
•Radiology Business
Radiology AI Devices at Elevated Risk for FDA Recalls, Study Finds
Radiology AI devices are more likely to face FDA recalls, largely due to deviations from intended use and incomplete clinical data.