Yale study finds AI aiding in more accurate treatment for skin cancer
Researchers at Yale say AI computers can now outperform people at tasks that previously relied on the human eye, leading to faster and more accurate decision-making throughout melanoma treatment.
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A recent study says artificial intelligence is proving to be a game-changer in the treatment of skin cancer.
"The model that we developed doesn't stop the cancer from spreading, but it helps the doctors act faster," said Dr. Thazin Nwe Aung from the Yale School of Medicine, who was the lead author of the study.
Researchers at Yale say AI computers can now outperform pathologists when they look at the melanoma tissue slides under a microscope and estimate how many immune cells are in a tumor.
"It can automatically find and count those immune cells and give one clear score," said Aung.
That leads to faster and more accurate decision-making throughout melanoma treatment. The study, published in JAMA Network Open, found AI tools offered a more standardized and reproducible method for assessment, underscoring the potential for AI to enhance clinical pathology.
"The AI gives nearly the same results every time no matter who's running it," said Aung.
The study was led by researchers at the Yale School of Medicine and the Karolinska Institute in Sweden and included 45 institutions around the world.
Yale researchers say once more testing is done this AI process can be used by doctors.
