ScanDiags AI software for radiology
The ScanDiags software service provides AI for augmented diagnosis from musculoskeletal MRI.
The ScanDiags service runs as a DICOM node that receives MRI studies and returns its interpretation in text and image to the customer’s PACS. It is under development and available for test and validation, currently supporting ten algorithms for lumbar spine and knee (classification, sub-classification, quantitative measures). By the expected RTM date mid-2021, a catalog of 125 musculoskeletal conditions is planned to be supported.
Visit us at RSNA 2020!
Learn how the ScanDiags AI software works
Request a Demo
Microsoft Case Study
ScanDiags Showcased at Asian Musculoskeletal Society (AMS) Annual Meeting September 2020 This year’s AMS Annual Meeting’s theme was “MSK Imaging: 2020 Vision.” Like so many others this year, it was conducted as an online event.
It’s nearly 9:00am. Some members of the Balzano team are cradling coffee cups while carrying on socially distanced conversations. A working day for the data science team at Balzano starts with a collaborative “stand up”
AI has demonstrated remarkable progress and received widespread recognition for its usefulness in the medical imaging world. AI technologies — machine learning in particular — automate image reading, repetitive tasks and the reporting process, which