@stanhua.bsky.social
What's next?
We are calling on hospitals and policy-makers to act now. To close this gap, we must prioritize the careful release of pediatric data.
Learn more about this in our full paper: www.medrxiv.org/content/10.1...
We are calling on hospitals and policy-makers to act now. To close this gap, we must prioritize the careful release of pediatric data.
Learn more about this in our full paper: www.medrxiv.org/content/10.1...
Lack of children in public medical imaging data points to growing age bias in biomedical AI
Artificial intelligence (AI) is rapidly transforming healthcare, but its benefits are not reaching all patients equally. Children remain overlooked with only 17% of FDA-approved medical AI devices lab...
www.medrxiv.org
June 27, 2025 at 7:07 PM
What's next?
We are calling on hospitals and policy-makers to act now. To close this gap, we must prioritize the careful release of pediatric data.
Learn more about this in our full paper: www.medrxiv.org/content/10.1...
We are calling on hospitals and policy-makers to act now. To close this gap, we must prioritize the careful release of pediatric data.
Learn more about this in our full paper: www.medrxiv.org/content/10.1...
What's the harm in using adult-trained AI algorithms on children?
We show that AI trained to detect cardiomegaly in adult chest radiographs fail spectacularly and increasingly in younger children: Around 50% of healthy infants are falsely diagnosed with cardiomegaly.
We show that AI trained to detect cardiomegaly in adult chest radiographs fail spectacularly and increasingly in younger children: Around 50% of healthy infants are falsely diagnosed with cardiomegaly.
June 27, 2025 at 7:07 PM
What's the harm in using adult-trained AI algorithms on children?
We show that AI trained to detect cardiomegaly in adult chest radiographs fail spectacularly and increasingly in younger children: Around 50% of healthy infants are falsely diagnosed with cardiomegaly.
We show that AI trained to detect cardiomegaly in adult chest radiographs fail spectacularly and increasingly in younger children: Around 50% of healthy infants are falsely diagnosed with cardiomegaly.