Machine learning is all about data recollection and data processing. Many industries will be affected by this branch of artificial intelligence, the medical field being no exemption. Its capability of analyzing huge amounts of data will eventually replace a great number of human jobs, even those that require a higher education. However, as explained by Medtronic CEO Omar Ishrak, the real value of artificial intelligence is in making more efficient use of human resources in healthcare. For example, IBM’s Watson can read 40 million documents in 15 seconds, optimizing time and performance. Healthcare has loads of data: Test results, consultation notes, scans, appointment follow ups, etc., creating an ideal environment for the use of Machine Learning (More data, better results).
Other application of ML in the medical field is the ability to personalize treatment and help in decision making. Insightin Health has recently launched an AI powered app where patients are empowered to make their own healthcare decisions. The In360 app incorporates user behavioral trends as well as real time data collection. Also, Machine learning is being used as an imaging and predictive analytics tool. Through the combination of Azure Computer Vision and machine learning, InterKnowlogy was able to come up with a solution for the early detection of Posterior Urethral Valve Disorder (PUV).