.India is actively advertising an electronic health and wellness community to sustain its journey for global health care. Quality-graded health information can deliver phenomenal decision-making assistance within this venture. The most significant hurdle to building artificial intelligence (AI)- permitted medical care modern technologies in India is the availability of top notch annotated records for South Asians, especially Indians, that may be utilized to train and legitimize AI applications.The sizable swimming pool of multimodal records picked up throughout client therapy trips or disease-specific monitoring supplies special historical options for huge clinical datasets. Once annotated, medical pictures like X-ray, computerized tomography (CT), magnetic resonance imaging (MRI), ultrasound examination, and whole-slide images gotten during an individualu00e2 $ s visit to health care institutions are actually an abundant resource for training AI algorithms. Such ventures include the Clinical Imaging Databank of the Valencia Area, PathLAKE, The Cancer Image Resolution Archive1, and the Medical AI Data for All initiative2. Several of the existing health care imaging datasets from India are the IN-CXR (an available dataset of trunk radiography for tuberculosis), the Indian Diabetic Retinopathy Graphic Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus image database4), as well as CHAVI-RO (a thorough electronic repository of cancer imaging coming from radiation oncology5). Nevertheless, India has no centrally collaborated as well as discoverable repository for medical image resolution information with reputable interoperable standards.