Robovision was happy to collaborate with the National Institutes of Health of the USA, on the development of automated organ detection through deep learning. Specific applications like these show where AI can really make the difference in healthcare.
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 compliance standards. Through the use of deep learning-based image recognition, we can easily identify specific organs and detect anomalies, allowing us to assist radiologists in their diagnoses or to produce a summary of scans out of huge amounts of data so they can focus on the anomalies in detail in only a fraction of the time.
For this study, we cooperated with Dr. Ronald Summers, recently named in the Top 100 AI pioneers in Healthcare by Forbes, who is one of the leading researchers in healthcare innovation.
Our paper has been presented at the IEEE conference in Venice on 8 April 2019. Sharing knowledge and insights with other researchers in the field, enables us to innovate even more quickly. We are hoping to better healthcare for everyone. #DemocratizingAI
After this successful partnership, Robovision and NIH decided to further team up. In a partnership, we want to develop an AI platform specifically aimed at assisting in diagnoses through the interpretation of medical images.
Using Robovision’s RVAI platform to label a kidney for automated organ detection.