Computer Vision News - June 2023

40 MedTech Spotlight News Computer Vision News has found great new stories, written somewhere else by somebody else. We share them with you, adding a short comment. Enjoy! New Algorithm can Predict Diabetic Kidney Disease Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong have developed a computational approach to predict whether a person with type 2 diabetes will develop kidney disease , a frequent and dangerous complication of diabetes. They published their work in Nature Communications . This is expected to help clinicians determine who is at greatest risk of developing diabetic kidney disease and optimize the treatment of type 2 diabetes to prevent kidney disease. The study used a precious dataset of 1,200 patients in the Hong Kong Diabetes Register , which are followed up for many years. Read More AI Tool Outperforms Human Emergency Call Handlers in Identifying Stroke We know this story and the previous one thanks to the folks at Digital Health News . Many times, emergency call handlers do a fantastic job and save human lives. At other times, alas, the response is not as good. It is therefore very useful to helptheseguystakethebestdecision, for instance in identifying stroke cases . Researchers from Denmark did just that, working on a dataset of over 1.5 million calls made to the Copenhagen Emergency Medical Services . They have developed a new AI framework to find out many strokes that go unrecognized by human call handlers and have just presented it at ESOC. Read More Standalone AI for Breast Cancer Detection at Screening Digital Mammography Many studies investigate the potential use of Artificial Intelligence systems in mammographic screening . However, what do we know about the performance of AI? Can it become a modality used for independent mammographic interpretation ? A new study published on Radiology only a few days ago found out that standalone AI for screening digital mammography performed as well as or better than radiologists. The research was conducted on databases of studies published from January 2017 to June 2022, that included a total of almost 500,000 women. Read More