In the last decade, Machine Learning has come roaring out of the textbook to become an integral part of the healthcare industry. In addition to contributing to the increased efficiency of routine administrative procedures and reducing operational costs, it is also beneficial for managing the supply chain and logistics. The Indian healthcare sector is expected to reach ₹19,56,920 crore ($280 billion) by 2020. Rising income level, greater health awareness, increased precedence of lifestyle diseases and improved access to insurance are set to be the key contributors to its growth. The report also states that spending on AI in healthcare is projected to grow at an annualised 48% between the year 2017 and 2023.

Every year, around 50,000 individuals graduate to become certified doctors. In order to maintain the minimum doctor-patient ratio, as suggested by WHO, India will need 2.3 Mn doctors by 2030. If there was ever a requirement to push healthcare in India into the future, it is now! Today is the time when we can see significant disruption in the Indian healthcare industry. Much of this is credited to the level of involvement of artificial intelligence, big data, cloud, machine learning and deep learning, and wearables or fitness trackers which are connecting the organizations with the individuals.

Every year, around 50,000 individuals graduate to become certified doctors. In order to maintain the minimum doctor-patient ratio, as suggested by WHO, India will need 2.3 Mn doctors by 2030. If there was ever a requirement to push healthcare in India into the future, it is now! Today is the time when we can see significant disruption in the Indian healthcare industry. Much of this is credited to the level of involvement of artificial intelligence, big data, cloud, machine learning and deep learning, and wearables or fitness trackers which are connecting the organizations with the individuals.