A deep learning algorithm deployed at MD Anderson Cancer Center in Houston successfully automated and standardized clinical target volumes (CTVs) for radiation therapy in head and neck cancer patients.

The American College of Radiology Data Science Institute (ACR DSI) released its first use cases from the TOUCH-AI library for industry comment in order to gain feedback before it releases the entire library this fall, according to an ACR release.

A team from Finland has developed an artificial intelligence (AI) pathology model that detected the T-cell count in cancerous tissue with 90 percent accuracy.

Johns Hopkins University researchers have developed image analysis and machine learning tools to detect age-related macular degeneration (AMD), according to a study published in the May 2018 issue of Nature Medicine.

Researchers involved in a national multi-year, multi-center project are challenging the U.S. Department of Energy's supercomputers while analyzing brain imaging data via artificial intelligence (AI) to improve treatment of traumatic brain injury (TBI), according to a July 3 release.

A new ultrasound prototype utilizing an optical—rather than electronic—system may provide flexibility in simultaneously pairing the modality with other imaging techniques, such as MRI. Experts say it could provide doctors more options for using ultrasound to diagnose and treat patients.

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

An artificial intelligence (AI) system faced-off against 15 top physicians from across China to see which could produce the most correct diagnoses in the least amount of time, Ecns.cn reported.