.India is actively ensuring a digital health ecosystem to sustain its own mission for universal healthcare. Quality-graded health and wellness records can easily deliver remarkable decision-making assistance in this particular endeavor. The biggest difficulty to establishing artificial intelligence (AI)- permitted health care modern technologies in India is the supply of top notch annotated information for South Asians, especially Indians, that can be made use of to train and also validate artificial intelligence applications.The large pool of multimodal data picked up in the course of person therapy journeys or even disease-specific security delivers one-of-a-kind historical possibilities for huge health care datasets. The moment annotated, medical pictures like X-ray, digital tomography (CT), magnetic resonance imaging (MRI), ultrasound examination, as well as whole-slide images gotten throughout an individualu00e2 $ s browse through to health care organizations are actually an abundant resource for training AI algorithms. Such undertakings feature the Medical Imaging Databank of the Valencia Area, PathLAKE, The Cancer Cells Image Resolution Archive1, and also the Medical Artificial Intelligence Information for All initiative2. A number of the existing clinical image resolution datasets from India are actually the IN-CXR (an available dataset of trunk radiography for consumption), the Indian Diabetic Retinopathy Graphic Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus picture database4), and also CHAVI-RO (a comprehensive digital archive of cancer cells image resolution coming from radiation oncology5). Having said that, India has no centrally coordinated and discoverable repository for medical image resolution records along with established interoperable specifications.