SemanticMD’s medical image analysis platform allows you to develop custom deep learning algorithms that increase revenue and improve quality of care.
We are a cloud-based, medical image analysis platform powered by deep learning. With our platform you can develop custom algorithms to perform tasks like counting lung nodules, triaging chest X-rays, or automatically routing cases. Our platform is currently being used by teleradiology firms to improve workflow, billing, and monitor quality of care.
Choose from our HTML templates for classification and object recognition or customize your own for your machine learning and human-in-the-loop needs. Our platform intelligently routes tasks to the right people with redundancy and accuracy based on your requirements.
We provide custom image processing for every modality, ultrasound, x-ray, MRI, IRV and mammography. We’ve taken out a lot of the guesswork by including modality-specific pre-processing steps so you can focus on building the best deep learning model.
Train and update deep learning models with ease, by uploading data and instantly training a state-of-the-art network (e.g. ResNet (2016), GoogLeNet (2015), etc.) without writing a single line of code. Iterate quickly with different types of deep learning networks including custom models you design.
Medical device manufacturers, CROs, teleradiology companies, clinicians and researchers all use the SemanticMD Cloud platform for different reasons. Depending on the customer needs, we will design a task with the user then launch the annotation and deep learning algorithm deployment task for that unique customer. Researchers and providers can train deep learning algorithms directly from Ambra annotated images. For example, one of our customers is using SemanticMD Cloud to take CT scans and annotate regions of interest (e.g. bleeds and nodules) in Ambra to automatically train a detection algorithm on SemanticMD Cloud.