With a focus on automated diagnosis and connected health, RAD365 Artificial Intelligence is our effort to leverage tools in this burgeoning field to make the processes more efficient and results 100 per cent accurate eliminating any human misses/errors.
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.
Domain expertise in Radiology and Healthcare as a whole
Artificial Intelligence and Machine Learning
Internet of Things
Block chain Technology
Big Data Hadoop – Spark eco-system
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.