Aid clinical judgment or diagnosis

The algorithms will examine medical records, habits and genetic information pooled from health charities, the NHS and AI.

       Aid clinical judgment or diagnosis

Admittedly, using AI to diagnose patients is undoubtedly in its infancy, but there have been some exciting use cases. A Stanford University study tested an AI algorithm to detect skin cancers against dermatologists, and it performed at the level of the humans. A Danish AI software company tested its deep-learning program by having a computer eavesdrop while human dispatchers took emergency calls. The algorithm analyzed what a person says, the tone of voice and background noise and detected cardiac arrests with a 93% success rate compared to 73% for humans. Baidu Research recently announced that the results of early tests on its deep learning algorithm indicate that it can outperform humans when identifying breast cancer metastasis. 

Workflow and administrative tasks

 Technology such as voice-to-text transcriptions could help order tests, prescribe medications and write chart notes. One example of using AI to support admin tasks is a partnership between the Cleveland Clinic and IBM that uses IBM’s Watson to mine big data and help physicians provide a personalized and more efficient treatment experience. One way Watson supports physicians is being able to analyze thousands of medical papers using natural language processing to inform treatment plans.

The United States has imported $5.13 billion in pills from India this year, 11% of the total value of all Indian imports. It ranks fourth in the world for these U.S. imports, which can also be described as medicine in individual dosages.

The health-care industry is the next gold mine for the world's largest multinationals and its most disruptive startups, given the powerful combination of big data, artificial intelligence and predictive analytics