Researchers at the University of Missouri tested artificial intelligence to detect melanoma by evaluating images of suspicious skin abnormalities. The work aims to help doctors find cases faster so patients can get medical attention sooner.
The technology is a decision-support tool and not a replacement for medical experts. It could help patients with limited access to dermatologists. The team trained models using a very large set of images from three-dimensional total body photography, a method that maps the skin.
The researchers compared three existing AI models. Individual models reached high accuracy and combining them improved results. The study shows promise but the system is not yet ready for routine clinical use.
Difficult words
- researcher — People who do scientific studies.Researchers
- detect — Find or notice something that is not easy to see.
- melanoma — A serious type of skin cancer.
- abnormality — Something on the body that looks different from normal.abnormalities
- dermatologist — A doctor who treats skin problems.dermatologists
- accuracy — How often a test gives correct results.
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- How could this technology help patients who live far from dermatologists?
- Would you trust a decision-support tool to help your doctor? Why or why not?
- What data did the researchers use to train the AI models?
Related articles
Cyber risks to US infrastructure as strikes on Iran continue
As US strikes on Iran continue, experts warn of possible retaliatory cyberattacks on essential US infrastructure. Alex K. Jones reviewed the risks, naming water systems, power grids and the possible future effect of quantum computing.
Plague and the role of human fleas in Madagascar
The plague is still endemic in some countries, including Madagascar. Researchers found that the human flea Pulex irritans contributes to outbreaks and that household conditions and insecticide use influence flea levels and control efforts.
