Introduction to our product portfolio


Nuevozen’s diagnostic software products are powered by deep learning algorithms developed in collaboration with top hospitals and Universities in USA and India. These AI enabled products can be used in a stand-alone mode or can be integrated directly with your existing workflow.


Mammography is an effective way to diagnose breast cancer. However it still misses ~13% of breast cancers. Depending on certain factors (such as breast density) mammography may miss more breast cancers. False alarms and cases of over diagnosis are a challenge, creating a great deal of unnecessary stress for patients. The chances of having a false positive result after one mammogram ranges from 7-12 percent, depending on your age (younger women are more likely to have a false positive results). Experience of the radiologist matters a lot to get a good reading of the images. Nuevozen’s AI enabled GARUD-MammoTM further improves Mammography effectiveness by automatically identifying regions of tumors, calcification, malignancy along with classification probabilities.


Breast density is a strong risk factor for breast cancer. GARUD-BDTM enables automatic assessment of breast density consistently by reducing variability of image interpretation and improving the decision making for further screening. The software leverages deep neural networks for breast density segmentation in mammographic images based on classification and morphological features. Breast density measurements are reported according to the American College of Radiology’s BI-RADS reporting system.


High Quality Annotated data is the core requirement for applying Artificial Intelligence and Machine learning techniques on radiology images. Nuevozen's NZ-LABELTM is a powerful web based application to interactively view and annotate medical images including but not limited to DICOM. The software uses latest web-GL technology for enabling high performance and an intuitive interactive user interface while handling large size medical images. This cloud based application allows workflows involving multiple annotators and reviewing capability to ensure higher quality of annotations. This can be easily integrated in your workflow environment or can be used in a stand-alone manner.

NUEVOZEN Radiology Grid

Our cloud based collaboration platform enables patients to upload their radiology images and view the automated assessment as well as get the opinion from our growing list of multiple radiologists and physicians in our network