Explore more about: Artificial Intelligence

A collaborative NIH-funded team is using AI to mine common chest CT scans to predict mortality. Their research identified a collection of cardiac factors that were predictive of death in a large group of patients, potentially setting the stage for improved cardiac screening.

The lungs are one of the most difficult organs for physicians to navigate. A collaborative team of NIH-funded researchers have built a compact robotic system that can autonomously steer around anatomical obstacles within the lungs of live animals.

This interview with Maryellen Giger, PhD, delves into the creation of the MIDRC imaging repository, how its data can be used to develop and evaluate AI algorithms, ways that bias can be introduced—and potentially mitigated—in medical imaging models, and what the future may hold.

Researchers have shown that an automated cancer diagnostic method, which pairs cutting-edge ultrasound techniques with artificial intelligence, can accurately diagnose thyroid cancer, of which there are more than 40,000 new cases every year.

NIBIB has established the Center for Biomedical Engineering Technology Acceleration—BETA Center, a new intramural research program to solve a range of medicine’s most pressing problems. The BETA Center will serve the wider NIH intramural research program as a biotechnology resource and catalyst for NIH research discoveries.

NIBIB researchers and their collaborators introduce several novel image restoration strategies that create sharp images with significantly reduced processing time and computing power.

Researchers have found that AI models could accurately predict self-reported race in several types of medical images, suggesting that race information could be unknowingly incorporated into image analysis models.

One team helped develop the first photon-counting detector (PCD)-CT system, which is superior to current CT technology. Another team has also been using artificial intelligence to lower the dose of radiation given to a patient when they are undergoing a conventional CT brain scan.

After less than two years of data collection and processing, RSNA has successfully delivered over 30,000 de-identified imaging studies to the Medical Imaging and Data Resource Center (MIDRC) project, an open-access platform which publishes data to be used for research. MIDRC is funded by NIBIB. Source: RSNA News

NIBIB-funded researchers are developing an autonomous robot that can perform bowel surgery with minimal assistance from a surgeon. In preclinical models, the robot outperformed expert surgeons when compared head-to-head.