DeepHealth

DeepHealth uses machine learning to distill lifetimes of insights from medical experts into software to assist radiologists. Our mission is to enable the best care by providing products that clinicians and patients can trust, through rigorous science and clinical integration. Screening mammography saves lives, yet the volume of cases generated by s... creening puts an enormous demand on radiologists. We are using deep learning to create tools that will help radiologists interpret mammograms more accurately and efficiently, for both 2D full-field digital mammograms and 3D digital breast tomosynthesis. Our models learn from interpretations provided by expert radiologists and pathologists to map images to gold standard diagnoses. Our models have been trained on more data than a single clinician could possibly see in her/his lifetime. Ultimately, our greatest goal is to improve the lives of patients, by helping detect cancers as early as possible while minimizing unnecessary callbacks. The subtle nature of cancerous lesions and the large number of cases to interpret can be straining, especially for digital breast tomosynthesis. Our software uses deep learning to achieve higher performance levels than traditional CAD, enabling more effective clinical use cases. Our software highlights a small number of suspicious lesions so breast imagers can identify more cancers without having to sort through all of the false positives generated by traditional CAD. Our software empowers radiologists by helping them interpret more efficiently, so they can spend more time on other critical tasks.Read More