.India is proactively advertising a digital wellness ecosystem to sustain its pursuit for global health care. Quality-graded health and wellness information can easily provide remarkable decision-making support in this particular endeavor. The greatest obstacle to establishing artificial intelligence (AI)- enabled healthcare innovations in India is the supply of high-grade annotated data for South Asians, especially Indians, that may be used to qualify and verify artificial intelligence applications.The huge pool of multimodal records collected throughout person treatment journeys or disease-specific security delivers unique historical chances for large health care datasets. As soon as annotated, clinical pictures such as X-ray, computerized tomography (CT), magnetic vibration image resolution (MRI), ultrasound, and whole-slide pictures obtained during the course of an individualu00e2 $ s visit to healthcare establishments are an abundant resource for training AI algorithms. Such endeavors include the Health care Imaging Databank of the Valencia Location, PathLAKE, The Cancer Cells Image Resolution Archive1, as well as the Medical AI Information for All initiative2. A number of the existing clinical image resolution datasets coming from India are the IN-CXR (an open dataset of chest radiography for t.b.), the Indian Diabetic Retinopathy Picture Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus photo database4), and CHAVI-RO (a comprehensive electronic older post of cancer image resolution coming from radiation oncology5). Having said that, India has no centrally worked with and discoverable storehouse for clinical imaging data with reputable interoperable standards.