Around 50,000 people graduate each year to become licensed physicians. India will need 2.3 million physicians by 2030 to achieve the required doctor-patient ratio as proposed by WHO. Much of this is due to the level of engagement in artificial intelligence, big data, internet, machine learning and deep learning, and wearables or activity trackers that link organizations with people. AI has the potential to transform multiple disease diagnoses and cure that was considered incurable a decade ago. In the Indian healthcare sector, artificial intelligence relies on a paradigm shift in how computers interpret patient electronic data involving gender, medical history, exams, diagnostic pictures, DNA sequences, and other fuel treatment variables. Artificial Intelligence is used in China during a colonoscopy to diagnose the presence of polyps on the colon. Young businesses in India are working together to support physicians’ diagnosis early on chronic diseases. Many companies are building diagnostic tools with the help of predictive analytics and machine learning that can aid experts in diagnosis quicker and more reliably. AI has the ability to take over rural communities with a mobile phone without the doctors going from village to village. Obviously, artificial intelligence and deep learning are the hope of new-age technology that can help doctors and scientists make better choices in the growing Indian medical industry if properly channeled.