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

New PET radiotracer moves to in-human trials after accurately detecting brain injuries

In one case, the tracer detected a cerebral abnormality that occurred three years prior to imaging, according to Massachusetts General Hospital researchers.

In Tar Heel country, electronic ‘greeters’ use AI to monitor mask wearing, social distancing

If you’re failing to keep social distance, wear a mask and wear it properly, a red X lights up as a reminder. If you’re doing things right, it’s a green check mark affirming your compliance.

Thumbnail

Massive global effort underway using advanced imaging data for new traumatic brain injury treatments

The ENIGMA project is made up of 170 experts from 13 countries.

Thumbnail

Radiologists who follow AI-based recommendations may be safer from malpractice liability than they think

Legal experts at Georgetown University and ETH Zurich’s Center for Law & Economics recently shared their experimental study in the Journal of Nuclear Medicine.

Thumbnail

Radiologists urge peers to avoid ceding authority to nonphysician practitioners, opt for AI instead

Artificial intelligence costs less, integrates into workflows, and is less likely to take over their duties, Daniel Ortiz and colleagues wrote in JACR. 

Thumbnail

Terahertz imaging IDs early stage breast cancer without sample staining

The approach imaged samples smaller than 0.5 mm, which is difficult even under pathological analysis.

Thumbnail

Experts introduce AI-RADS to help bolster radiologists’ proficiency in artificial intelligence

Dartmouth College experts are now looking to upload their novel training to the web to help others share in their success. 

lung cancer

PET/CT-based radiomics model tailors treatment for lung cancer patients

The technique identifies individuals with a specific growth factor receptor common in those with non-small cell cancer.

Displaying 1961 - 1968 of 3110
Design by Adaptive Theme