Radiology
Operating Characteristics and Algorithm Performance
whitepaper details the operating characteristics and bench testing performance of the algorithms within AI-Rad Companion Chest X-ray
whitepaper details the operating characteristics and bench testing performance of the algorithms within AI-Rad Companion Chest X-ray
Dr. Jeff Chang, radiologist and co-founder of Rad AI, tackles the AI and radiology questions he's asked most often…
In an AI-industry first, Aidoc - a Tel Aviv start-up, has just been granted regulatory clearance for commercial use of its triaging and notification algorithms
When NHSx, the digital unit of the UK National Health Service (NHS) launched its in-house COVID-19 contact tracing application in England and Wales this September
AIMed Radiology virtual conference took place last week. Early on, at the keynote address, Dr. Geraldine McGinty, President of the American College of Radiology (ACR)
Qure.ai, a Mumbai based company created qXR when they noticed patients needed to wait long hours for a specialist to examine their x-rays. At the peak of the pandemic in the middle of April, qXR was retooled by Dr. Rizwan Malik
US Food and Drug Administration (FDA) granted Aidoc, the Tel Aviv startup specializing in the design of artificial intelligence (AI) driven radiology solutions its 6th regulatory clearance last Wednesday (21 October)
NHS Senior Magnetic Resonance Physicist Haris Shuaib reveals the most valuable lessons from his AI journey
A lack of generalizability is a major hurdle to clinical adoption of artificial intelligence (AI). A group of researchers in Korea found that as of 17 August 2018, only 6% of 516 studies on Radiology AI did an external or independent validation