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. 

Brain SPECT imaging may provide insight into depression outcomes

Single photon emission computed tomography (SPECT) imaging may identify who is likely to recover from depression and who might not, according to recent research published in the Journal of Alzheimer’s Disease.

Thumbnail

AI platform diagnoses prostate cancer as well as pathologists

A group of Chinese scientists and clinicians developed a learning artificial intelligence (AI) platform able to diagnose prostate cancer with the same accuracy as a human pathologist, according to a European Association of Urology press release.

Thumbnail

Examining the hype about AI, machine learning in medicine

Robert Pearl, MD, from Stanford University shared his thoughts about the gradual permeation of artificial intelligence (AI) into the culture and business of medicine in a recent editorial in Forbes. 

Thumbnail

Q&A: Wash U's Mark Anastasio on building nation’s 2nd doctoral program in imaging science

Washington University in St. Louis is set to become the second institution with a doctoral program dedicated to imaging science, with its inaugural class beginning in the fall. Mark Anastasio, PhD, the director of the new program, spoke with Health Imaging about the state of imaging education and incorporating artificial intelligence (AI) into its curriculum.

Thumbnail

How micro-PET images of octopuses may reveal alternative regenerative medicine methods

Published online in the Journal of Nuclear Medicine on March 9, a study assessed common regeneration principles in octopuses to potentially identify alternative therapeutic approaches in regenerative medicine.

Thumbnail

Survey: Consumers optimistic on AI—and its value, convenience, time savings

While radiologists grapple with the future of artificial intelligence (AI), consumers report liking AI’s convenience, time savings and personalized insights, according to a recent Accenture consumer survey on digital health.

MIT displays breathtaking medical images

For the past eight years, the Massachusetts Institute of Technology (MIT)’s Koch Institute has featured a public gallery of science images in its lobby, STAT reports.

Ultrasound: Where we're at and where we're going

Seven Dutch and German authors outlined recent technological progressions—notably in diagnosis and therapy—which are slowly transitioning to clinical use and speculated on the future of ultrasound, in an article published in the Journal of Nuclear Medicine.

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.