What will the market size be in 2027 and what will the growth rate be? What are the key market trends? What is driving this market? What are the challenges to market growth? Who are the key vendors in this market space?

One of the ways AI is and will continue t be helpful in the field of healthcare is allowing medical professionals the ability to create treatment plans as well as discovering the best suited methods for helping their patients; instead of having to battle the tread-wheel of bureaucracy, nurses and physicians can focus on doing their actual jobs. Since we are in the age of big data, patient information is becoming valuable as tech giants, such as IBM and Google, are becoming more involved in acquiring this information; therefore, companies are using AI in the field known as patient data mining in a variety of ways. The AI research branch of the company recently launched a project known as Google Deepmind Health which focuses on mining medical records with the goal of providing faster and better health services; the project can go through hundreds of thousands of medical data within minutes. Also, Google's life sciences are working on a data-collecting initiative that aims to apply some of the same algorithms used to power Goggle's search button to analyze what it is that makes a person healthy. Included in this is experimenting with technologies that monitor diseases such as a digital contact lens that might detect levels of blood sugar.

While the repercussions of a fully AI-driven world remain a mystery, it is gradually becoming evident that AI could soon be providing us with more accurate solutions for health issues that earlier went undetected. Though the digital transition in health care remains slow and cautious, in the past five years more than 90 percent of hospitals have transferred from paper-based systems to electronic systems. Here are three ways AI could transform health care. A history of medical records remains crucial for timely treatments. Life-threatening risks can be diagnosed at early stages using predictive analysis.

Among other things, CareSkore wants to use machine learning to anticipate mortality. However, the newly endowed platform is more than just a Facebook poll that tells you how you'll meet your end this Christmas by being squashed by a falling piano. Storm ventures, Cota Capital, Rising Tide Fund and Liquid 2 Ventures are rallying behind the Y Combinator graduate with today's 4.5 million seed round. CareSkore is combining clinical, socio-economic, demographic, and behavioral data to paint a holistic picture of patients that doctors and insurance companies can use to provide better preventative care. The platform is leveraging Google's TensorFlow and Hadoop to cut through massive third party data sets and generate insights by finding relationships between environmental and clinical data.