.India is proactively advertising an electronic health environment to support its own journey for universal healthcare. Quality-graded health records can easily offer awesome decision-making assistance in this venture. The largest difficulty to creating expert system (AI)- made it possible for health care innovations in India is actually the schedule of top quality annotated data for South Asians, especially Indians, that may be made use of to train and validate artificial intelligence applications.The large swimming pool of multimodal information collected during the course of client therapy quests or even disease-specific surveillance delivers unique historical chances for large medical datasets. When annotated, clinical pictures like X-ray, computerized tomography (CT), magnetic vibration imaging (MRI), ultrasound examination, and whole-slide pictures obtained in the course of an individualu00e2 $ s visit to healthcare organizations are a rich information for training AI algorithms. Such undertakings feature the Clinical Image resolution Databank of the Valencia Location, PathLAKE, The Cancer Cells Imaging Archive1, and the Medical AI Data for All initiative2. A number of the existing clinical image resolution datasets from India are the IN-CXR (an available dataset of chest radiography for tuberculosis), the Indian Diabetic Retinopathy Image Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus image database4), and CHAVI-RO (an extensive electronic archive of cancer cells image resolution from radiation oncology5). Nevertheless, India has no centrally worked with and also visible repository for health care imaging information along with recognized interoperable standards.