Most researchers exploring the performance of artificial intelligence (AI) in radiology aren’t validating their results, according to a new study published by the Korean Journal of Radiology.
A smartphone’s camera and flashlight features can detect changes in blood flow and identify type 2 diabetes with accuracy comparable to traditional, clinic-based risk scores, new research suggests.
In Ontario, Canada, it is illegal to cremate a patient who has received the radiation treatment brachytherapy. Radiation experts are now calling on the province to change the law, according to a report by CBC News.
The FDA has granted accelerated approval to the combination of atezolizumab, an antibody marketed by Genentech under the name Tecentriq, and chemotherapy for certain patients with metastatic triple-negative breast cancer.
The FDA’s continued crackdown of the vaping and e-cigarette industry is questionable after the resignation of its commissioner Scott Gottlieb, who announced March 5 he would depart sometime in the next month.
A deep neural network crafted by research specialists at Dartmouth’s Norris Cotton Cancer Center identified different types of lung adenocarcinoma as well as practicing pathologists in a recent study, according to work published March 4 in Scientific Reports.
The Trump administration is reportedly considering requiring hospitals and other healthcare providers to publish the prices they charge insurance companies for services after the rates have been negotiated, The Wall Street Journal reported.
Authors of the research, published in the Korean Journal of Radiology, analyzed 516 published studies and found only six percent (31 studies) externally validated their AI.
Both initial and serial increases in high-sensitivity C-reactive protein (hsCRP) concentrations are independently predictive of cardiac events following acute coronary syndrome (ACS), according to a new study in JAMA Cardiology.
A 14-week health technology “sprint” sponsored by the U.S. Census Bureau and coordinated by HHS has produced an AI tool that developers claim could revolutionize the way researchers match cancer patients with clinical trials.
