News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Wondering how to use AI for radiology? In a new study, NCI researchers found that AI may work best as an adjunct to the radiologist rather than a standalone solution, allowing radiologists to focus on cases that need more critical assessment.

An NCI-funded study shows that KBP models can automate radiation therapy, thereby producing high-quality plans to improve cancer treatment efficiency and reduce human workload.

What influences the performance of an AI model more: where the researcher collected the data, or how? NCI-funded researchers set out to investigate some of the factors that could influence the performance of an AI-based image model screening for cervical cancer.


Interested in fellowship programs that use data science to advance cancer research and care? Listen to the latest episode of “Inside Cancer Careers” and discover the Big Data Scientist Training Enhancement Program (BD-STEP)!

Learn how NIH and NCI researchers developed TrialGPT, an artificial intelligence algorithm that could help clinicians connect patients to clinical trial opportunities more efficiently.

NCI-funded researchers developed a new model called “SEQUOIA” that’s helping capture detailed data from whole slide images. See how this technology could someday be the solution to better biopsies.

Explore a new artificial intelligence model for detecting gliomas in tissue samples during brain surgeries.

Listen to how NCI’s Small Business Innovation Research program is funding technology to enhance breast cancer detection and prevention.

The hallmark of a good AI model is its ability to work the same in different groups, settings, and situations. See how these NCI researchers used in-house and external images to test their prostate model’s generalizability.

Want to learn more about bioinformatics? Tap into these two newly published articles to see what some prominent researchers are saying about the field and where it’s headed.