Enlitic applies state of the art in deep learning technology to medicine – making medical diagnostics faster, more accurate, and more accessible.
The company’s mission is to provide the tools that allow physicians to fully utilize the vast stores of medical data collected today, regardless of what form they are in – medical images, doctors’ notes, structured lab tests, and so forth. We are working with the top hospitals and healthcare providers to make this happen – they are providing the data, we are providing the process and algorithms.
Patient Triage: Enlitic’s patient triaging solutions scan your incoming cases for multiple clinical findings, determine their priority, and route them to the most appropriate doctor in your network. Enlitic’s technology can interpret a medical image in milliseconds —up to 10,000 times faster than the average radiologist.
Screening Programs: Enlitic’s screening solutions quickly analyze cases to discover and highlight suspicious findings, helping your doctors work efficiently when dealing with large patient loads. In benchmarking tests against the publicly available LIDC lung cancer screening dataset, Enlitic’s technology can judge the malignancy of nodules in chest CT images 50% more accurately than an expert panel of radiologists.
Real-Time Clinical Support: Enlitic’s real-time clinical support solutions provide workflow-integrated guidance to help your doctors interpret challenging cases. For example, Enlitic’s deep learning technology can detect tiny fractures as small as 0.01% of an X-ray image. A heatmap overlay draws the radiologist’s attention to the findings.
Retrospective Analysis: Our retrospective analysis solutions rapidly evaluate large numbers of your past cases to reveal detailed insights into your network’s clinical performance. Retrospective analysis can also be a valuable tool outside the hospital, such as in clinical trials and drug development.