Our core team has an average experience of more than 20 years working in the US and India. We work in close collaboration with our senior radiologists, doctors and technologists, who have decades of combined experience in their respective areas.
Our team members across domains have Ph.D., Master’s and Bachelor’s degrees in technology and medicine. Our core Healthcare AI focused team has extensive experience in areas of traditional Machine Learning as well as Deep Learning technologies and different frameworks for re-using publicly available models (Transfer Learning). With deep experience in their respective domain and underlying technology stacks, the team can deliver best-in-class products and services that meet clients’ business objectives.
We use deep learning for radiology image analytics in addition to traditional machine learning for different feature engineering methodologies. Research experience of our radiologists enables us to incorporate important features in the workflow to create advanced models with great quality.
Availability of in-house data help us validate our model extensively resulting in the high-quality health care model. We validate our model using available benchmarking datasets and also use our in-house tele-radiology services to routinely validate our products.
Using traditional Machine Learning and Deep Learning technologies, we are in the process of arriving at automated diagnosis systems for some specific use cases. This technology is not a replacement for radiologists. Instead it allows radiologists to be more efficient in ensuring that they do not miss any kind of pathology in the images.
Currently we are working on the following solutions:
Development of Deep Learning algorithms for detection and segmentation of radiology images of various modalities.
Development of Deep Learning algorithms for detection and segmentation of radiology images of various modalities. Our solutions include device management, personalized intelligence generation using machine learning and AI and providing dashboards and alerts for emergency situations. We use block chain technology to store critical patient/user data for privacy, trust and access control. We also have partnerships with local care providers for last mile care services
This is our internal facing group which serve other groups in the company for conducting POCs on new and emerging technologies and applications. Our COE is a small team with very deep technology expertise and functional knowledge in Healthcare domain.