Case Study: InformAI achieves 97% model accuracy for organ transplant sizing with V7

InformAI achieves 97% model accuracy with V7

InformAI, a healthcare informatics company, faced the challenge of high organ discard rates in transplants, where up to 40% of viable organs were unused due to inaccurate size matching. To solve this, they needed to develop an AI model for precise organ volume estimation, which required a specialized platform to annotate a large number of medical CT scans. They turned to V7 to help build their product, TransplantAI.

Using V7's platform, InformAI created a secure, browser-based workflow for radiologists to annotate DICOM scans, storing all data in their own S3 bucket. This solution enabled them to train a highly accurate model. The result was a 97% accurate model that provides exact organ sizing and comparisons, a significant improvement over previous methods. V7 was crucial in helping InformAI develop a product poised to reduce organ non-use and revolutionize transplantation.

InformAI