.India is actively promoting a digital health ecological community to support its pursuit for universal medical care. Quality-graded wellness records can easily provide awesome decision-making help within this effort. The biggest hurdle to building artificial intelligence (AI)- made it possible for health care modern technologies in India is the accessibility of premium annotated data for South Asians, particularly Indians, that could be used to qualify as well as validate AI applications.The large swimming pool of multimodal records collected during person therapy trips or even disease-specific surveillance offers unique historical options for huge health care datasets. Once annotated, medical images like X-ray, computerized tomography (CT), magnetic resonance imaging (MRI), ultrasound, as well as whole-slide photos acquired in the course of an individualu00e2 $ s visit to health care establishments are an abundant resource for training AI formulas. Such efforts consist of the Health care Image resolution Databank of the Valencia Area, PathLAKE, The Cancer Cells Image Resolution Archive1, and the Medical AI Information for All initiative2. Several of the existing medical image resolution datasets coming from India are actually the IN-CXR (an open dataset of chest radiography for tuberculosis), the Indian Diabetic Retinopathy Graphic Dataset (IDRiD) 3, Chu00c3 u00a1 ku00e1 u00b9 u20a4 u (a glaucoma-specific fundus picture database4), and CHAVI-RO (a comprehensive electronic archive of cancer cells image resolution from radiation oncology5). Having said that, India has no centrally worked with as well as discoverable repository for health care image resolution data with reputable interoperable specifications.