At its core, medical diagnostics is a big data problem. There is an abundance of data consisting of medical images, lab test, clinical trials and physician notes. Nervana unlocks insight in this data to make healthcare more efficient and accessible.

Treatment Recommendation

Treatment planning is a very complex process. Healthcare providers make decisions based on an array of information from sources including electronic medical records, diagnostic images, genomic profiles, research articles and clinical trials. Deep learning uncovers key insights and offers recommendations on optimal, personalized treatments.

Medical Image Analysis

Deep learning makes medical image analysis faster and more accurate. Radiologists can quickly analyze images for the presence of disease, determine its progression, and efficacy of treatment plans. Fast image-based retrieval of similar cases further augments the healthcare provider’s ability to diagnose early and positively affect patient outcomes.

Patient Identification and Cohort Discovery

Deep learning unlocks information in electronic medical records to automatically identify and classify patients within a common cohort. This has helped increase the speed and accuracy of numerous applications including clinical trial recruitment, treatment analysis, and outcome prediction.