.India is definitely promoting an electronic health ecological community to support its pursuit for global medical care. Quality-graded health data can easily supply extraordinary decision-making help in this venture. The largest obstacle to building artificial intelligence (AI)- enabled health care modern technologies in India is the supply of premium annotated records for South Asians, specifically Indians, that could be made use of to qualify as well as validate AI applications.The large pool of multimodal records accumulated during the course of client treatment trips or even disease-specific monitoring offers unique historical possibilities for large health care datasets. Once annotated, medical images like X-ray, digital tomography (CT), magnetic resonance imaging (MRI), ultrasound, and whole-slide pictures obtained in the course of an individualu00e2 $ s visit to health care companies are actually a rich information for training AI formulas. Such endeavors include the Clinical Imaging Databank of the Valencia Location, PathLAKE, The Cancer Cells Imaging Archive1, and the Medical Artificial Intelligence Data for All initiative2. Several of the existing medical imaging datasets from India are the IN-CXR (an open dataset of trunk radiography for tuberculosis), the Indian Diabetic Retinopathy Image Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus photo database4), and also CHAVI-RO (an extensive electronic archive of cancer cells imaging coming from radiation oncology5). Nevertheless, India has no centrally collaborated as well as discoverable storehouse for clinical image resolution records with well-known interoperable criteria.