Artificial Intelligence

An AI software developed by researchers from NVIDIA, Aalto University in Finland and MIT may be able to fix low-resolution, grainy or pixelated medical images without previously observing examples of noise-free images.

A machine learning algorithm trained to analyze MRI images identified schizophrenia patients with 78 percent accuracy, according to a recent study published in Molecular Psychiatry.

An integrated computer-aided diagnosis (CAD) system developed by researchers from Kyung Hee University and Sungkyunkwan University in South Korea could outperform current conventional deep learning methodologies used by radiologists to detect, segment and classify tumors from digital x-ray mammograms.

IBM Watson Health and medical imaging contrast agent company Guerbet have entered a strategic partnership to develop artificial intelligence (AI) software to support liver cancer diagnostics and care by utilizing CT and MRI technology.

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.

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.

China and Israel are global leaders in artificial intelligence (AI) image analysis technology because of government support and industry collaboration, according to a recent Forbes article.

As artificial intelligence (AI) and medical imaging continue to transform clinical practice, radiologists-in-training can no longer take a passive role in the march toward this coming change.