Robovision & National Institutes of Health
Robovision was happy to collaborate with the National Institutes of Health (NIH), on the development of automated organ detection through deep learning. The NIH is the US governmental agency responsible for biomedical and public health research. Specific applications like these show where AI can really make the difference in healthcare.
Assisting Humans to Diagnose Faster
The amount of medical images is rapidly growing, and so is the size and dimensionality of these images. Human experts interpret medical images—a time-consuming effort—while being fully liable and having to meet with high-standard of compliancy. Through the use of deep learning-based image recognition, Robovision can easily identify specific organs and detect anomalies. Robovision’s AI-enabled platform assists radiologists in their diagnoses or to produce a summary of scans from large amounts of data so they can focus on the anomalies in detail in only a fraction of the time.
Scientific Paper
For this study, Robovision cooperated with Ronald M. Summers, MD, PhD – Senior Investigator in Imaging Biomarkers and Computer-Aided Diagnosis Laboratory.
A paper co-authored by Jonathan Berte, CEO of Robovision and Dr Summers, Segmenting the Kidney on CT-scans Via Crowdsourcing, was presented at the IEEE conference in Venice on 8 April 2019. The collaboration between Robovision and NIH will continue thanks to this first initial collaborative. It is envisaged that Robovision with NIH will develop an AI-platform specifically aimed at assisting diagnoses through the actuate of medical images.
Editor’s Note
Originally published in April 2019. Updated in April 2022. MMC