Artificial Intelligence

An artificial intelligence (AI) system developed by Shinjini Kundu, PhD, a physician and medical researcher at the University of Pittsburgh Medical Center, could find patterns of developing diseases as much as three years earlier than imaging experts.

Research published online Sept. 3 in Scientific Reports concluded that an artificial intelligence (AI) algorithm can differentiate between tuberculous (TB) spondylitis and pyogenic spondylitis on MRI exams with the same level of expertise as skilled musculoskeletal radiologists.

A new technique that connects a small group of radiologists together using artificial intelligence (AI) algorithms performed better than individual doctors or algorithms alone in detecting pneumonia on x-rays.

Health Imaging spoke with the FDA about its regulation process for machine learning-based medical imaging devices and applications, how the medical imaging industry may benefit from machine learning technologies and more.

An automated medical image analysis program developed by researchers—deriving its functionality from Tetris, the widely known puzzle-piece video game—can identify breast cancer twice as quickly as existing methods, according to a Sept. 6 release from the University of Adelaide in Australia.  

A team of Singapore-based researchers has created an artificial intelligence (AI) platform capable of calculating a patient’s optimal prostate cancer drug dosage that ultimately stopped the disease’s progression in a patient, according to a study published in Advanced Therapeutics.

The adoption of artificial intelligence (AI) and deep learning in healthcare is becoming increasingly popular and it's being propelled by seven distinct factors, according to one of two partnering editorials published online in JAMA.

Researchers from IBM recently proposed a new safeguard designed to increase transparency and trust in artificial intelligence (AI), according to research published on the company’s website.

Research detailing the first FDA-approved artificial intelligence (AI) system to autonomously detect diabetic retinopathy was published Aug. 28 in Nature Digital Medicine.

Researchers have created an artificial intelligence (AI) algorithm capable of reading CT scans to predict how patients will respond to a specific immunotherapy, according to a Lancet Oncology study.

The Radiological Society of North America (RSNA) kicked off its second annual machine learning challenge on Aug. 27, inviting teams to create an algorithm capable of identifying and localizing pneumonia on chest x-rays.

Engineers at the University of Central Florida's Center for Research in Computer Vision have developed an artificial intelligence (AI)-based system that can detect lung cancer on CT scans with 95 percent accuracy, according to a UCF news release.