Explore more about: Image processing

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.

– The National Institutes of Health are helping to fund an evolution in medical imaging, and a University at Buffalo-led research team is leading the way. Jun Xia, PhD, associate professor in the Department of Biomedical Engineering, received a $1.6 million grant to improve medical imaging for people with chronic leg ulcers. The project is a collaboration with the surgery clinic of UBMD Physician’s Group and other UB researchers.

A team of NIH microscopists and computer scientists used a type of artificial intelligence called a neural network to obtain clearer pictures of cells at work even with extremely low, cell-friendly light levels.

A team of engineers has demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.

NIBIB-funded researchers at NYU Langone Health worked with Facebook AI researchers to develop a method to speed up MRI scans.

NIBIB-funded researchers have developed a way to use artificial intelligence to speed up MRI imaging without sacrificing quality.

QuantX backstops radiologists with AI-enabled software that analyzes MRIs to confirm or challenge their diagnosis.

A new deep learning technique constructs better macroscopic medical images of cells and tissues at ultra-fast speeds.

Scientists say that protein engineering techniques might one day lead to colorful ultrasound images of cells deep within our bodies.

A new phase 1 clinical trial evaluated the differences between pre-operative prone and supine MRI exams in 12 women undergoing lumpectomy for breast cancer.