.India is actively advertising a digital health and wellness ecosystem to assist its own quest for global healthcare. Quality-graded health records may give remarkable decision-making help in this particular undertaking. The largest obstacle to creating expert system (AI)- allowed healthcare modern technologies in India is the schedule of high quality annotated data for South Asians, particularly Indians, that may be utilized to qualify and verify AI applications.The sizable pool of multimodal data gathered during the course of person therapy journeys or even disease-specific monitoring offers special historical chances for large health care datasets. When annotated, health care pictures including X-ray, electronic tomography (CT), magnetic vibration imaging (MRI), ultrasound examination, and whole-slide pictures gotten in the course of an individualu00e2 $ s visit to health care companies are actually a rich information for instruction AI algorithms. Such ventures include the Medical Imaging Databank of the Valencia Region, PathLAKE, The Cancer Image Resolution Archive1, and the Medical Artificial Intelligence Information for All initiative2. Some of the existing clinical imaging datasets coming from India are actually the IN-CXR (an available dataset of chest radiography for tuberculosis), the Indian Diabetic Retinopathy Picture 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 image resolution coming from radiation oncology5). However, India has no centrally collaborated and discoverable repository for health care imaging records with reputable interoperable criteria.