Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

RSS icon
Thumbnail

First neuropathic pain patient in US receives MRI focused ultrasound treatment

A pilot study conducted by researchers at the University of Maryland Medical Center in Baltimore has successfully treated the first U.S. patient using MRI-guided focused ultrasound for chronic neuropathic pain, according to a university press release published Oct. 28.

Thumbnail

ACR’s Allen: Why structured use cases will drive adoption of AI in radiology

The American College of Radiology Data Science Institute (ACR DSI) recently released a series of standardized artificial intelligence (AI) use cases to help advance imaging in AI. Down the road, they could help create an “AI ecosystem” for radiology, wrote Bibb Allen, MD, chief medical officer of the ACR DSI, in a recent Journal of the American College of Radiology editorial.

Thumbnail

3D MR fingerprinting technique shows promise in breast imaging

A team of researchers from Cleveland has developed a three-dimensional (3D) MR fingerprinting method for breast imaging which may better evaluate breast tumors, according to an Oct. 30 study published in Radiology.

Thumbnail

Novel quantum dots may allow for 3D cell imaging

Researchers from the University of Illinois at Urbana-Champaign and the Mayo Clinic in Rochester, Minnesota, teamed up to create a new molecular probe which can measure and count RNA in cells and tissue as well as traditional dyes, according to a new study in Nature Communications.

Thumbnail

Mayo Clinic, Eko to develop machine-learning based algorithm to detect heart diseases

The Mayo Clinic and healthcare device company Eko plan to develop technology that uses machine-learning to help physicians better detect easily-missed heart diseases in patients.

Thumbnail

Researchers succesfully open blood-brain barrier with focused ultrasound in Alzheimer’s patient

Researchers from the West Virginia University (WVU) Rockefeller Neuroscience Institute in Morgantown performed the world's first FDA-approved focused ultrasound procedure during a phase II trial to treat Alzheimer's Disease, according to a university press release.

Thumbnail

ACR’s Allen on why AI use cases are so important to radiology

On Oct. 26, the American College of Radiology Data Science Institute (ACR DSI) announced the release of standardized artificial intelligence (AI) use cases designed to improve AI adoption in radiology. Why, exactly, are these use cases so vital to the specialty?

Thumbnail

ACR Data Science Institute releases use cases to advance AI imaging

The American College of Radiology Data Science Institute (ACR DSI) announced Oct. 26 the release of a series of standardized artificial intelligence (AI) use cases to advance imaging in AI.

Displaying 2225 - 2232 of 2555
Design by Adaptive Theme