Brief Description
· Web based EHR system for Cancer / standardized Case Proforma for breast and ovarian Cancer / Historical data upload
· HPC-AI based models for Predictive Classification, detection and Localization of cancer based on MRI, Mammography & Digital pathology
· ML based cancer prediction based on Mammography report
· AI pipeline with components - Data upload, Model upload, Configure Model re-training, Model validation, Data export, Use Model
· Centralized Database for data collation hosted on server
· Rest API based inference service for all AI models
Advantages:
· Live and Historical data entry of patient data
· Availability of data close to real time
· AI models helps in diagnosis of breast cancer and ovarian cancer
· Early diagnosis reduces morbidity & mortality rate and improves treatment outcome
· Easy, accurate & quick data analysis thereby improvement in required data export for AI model training
· Integration of SNOMED CT ensures standardization of disease diagnosis through CSNOServ
Contact Details
Centre for Development of Advanced Computing
AI-QT Group, C-DAC Innovation Park,
Pachavati, Pashan, Pune - 411 008
Maharashtra, India
Phone No.: (020) 25503487/351
Email: ayusoft-support[at]cdac[dot]in