Can software based on artificial intelligence improve the anemic rates of CT lung cancer screening in the U.S.? That's the hope of Infervision, whose InferRead Lung CT.AI software won the Minnies award for Best New Radiology Software. The application is designed to automatically detect lung nodules on chest CT exams.
Lung CT.AI can be used for CT lung cancer screening applications, as well as the detection of incidental findings on CT exams. The company hopes the software will help radiologists detect lung nodules earlier and with more accuracy.
In this video interview, Infervion executives Matt Deng and Hao Wu discuss the software with AuntMinnie.com Editor-in-Chief Brian Casey and Senior Editor Erik L. Ridley.
Now in their 21st year, the Minnies awards are AuntMinnie.com's annual event recognizing excellence in radiology, with over 200 candidates competing in 15 categories, ranging from Most Influential Radiology Researcher to Radiology Image of the Year.
Minnies candidates are nominated by AuntMinnie.com members, with winners selected by an expert panel of radiology luminaries in two rounds of voting. Winners are recognized each year at the annual RSNA meeting. A full list of winners in the 2020 edition of the Minnies is available on AuntMinnie.com.
