Thread Rating:
  • 1 Vote(s) - 5 Average
  • 1
  • 2
  • 3
  • 4
  • 5

AI a powerful tool for cancer research

#1
Magical Realist Offline
https://www.cancer.gov/news-events/cance...er-imaging

[Image: pcrWPm8.jpg]
[Image: pcrWPm8.jpg]


"Two identical black and white pictures of murky shapes sit side-by-side on a computer screen. On the left side, Ismail Baris Turkbey, M.D., a radiologist with 15 years of experience, has outlined an area where the fuzzy shapes represent what he believes is a creeping, growing prostate cancer. On the other side of the screen, an artificial intelligence (AI) computer program has done the same—and the results are nearly identical.

The black and white image is an MRI scan from someone with prostate cancer, and the AI program has analyzed thousands of them.

“The [AI] model finds the prostate and outlines cancer-suspicious areas without any human supervision,” Dr. Turkbey explains. His hope is that the AI will help less experienced radiologists find prostate cancer when it’s present and dismiss anything that may be mistaken for cancer.

This model is just the tip of the iceberg when it comes to the intersection of artificial intelligence and cancer research. While the potential applications seem endless, a lot of that progress has centered around tools for cancer imaging.

From x-rays of whole organs to microscope pictures of cancer cells, doctors use imaging tests in many ways: finding cancer at its earliest stages, determining the stage of a tumor, seeing if treatment is working, and monitoring whether cancer has returned after treatment.

Over the past several years, researchers have developed AI tools that have the potential to make cancer imaging faster, more accurate, and even more informative. And that’s generated a lot of excitement.

“There’s a lot of hype [around AI], but there’s a lot of research that’s going into it as well,” said Stephanie Harmon, Ph.D., a data scientist in NCI’s Molecular Imaging Branch.

That research, experts say, includes addressing questions about whether these tools are ready to leave research labs and enter doctors’ offices, whether they will actually help patients, and whether that benefit will reach all—or only some—patients."
Reply




Users browsing this thread: 1 Guest(s)