Hospital Artificial Intelligence: Market Shares, Strategies, and Forecasts, Worldwide, 2017 to 2023

WinterGreen Research announces that it has published a new study Hospital Artificial Intelligence: Market Shares, Strategy, and Forecasts, Worldwide, 2017 to 2023. The 2017 study has 90 pages, 35 tables and figures. Worldwide markets are poised to achieve continuing growth as the artificial intelligence software increases diagnostic excellence, saving lives and lowering care delivery costs.

Hospital Artificial Intelligence

Hospital care management can leverage augmented intelligence. Artificial intelligence is useful for providing highly tailored insights about individual patients or to work across an entire population. Artificial intelligence is useful for helping providers effectively address healthcare delivery.

The intersection of healthcare and artificial intelligence represents a market opportunity. New strategies are being developed by companies to bring A.I. to healthcare. The business challenges around those efforts are being addressed collectively in partnerships and in forums to bring the technology into the market. Artificial intelligence has an impact on patients, doctors, hospitals, clinical facilities, and the healthcare industry overall.

The ability of an intelligent system to learn from data without upfront human intervention brings significant change to the healthcare delivery system. It relies on the use of unsupervised and semi-supervised machine learning techniques. Segmentation, dimensionality reduction, anomaly detection and pattern recognition are replacing supervised manual techniques for diagnosis and care delivery.

Major factors driving the market for artificial intelligence in hospitals include its ability to provide better diagnostic accuracy under a variety of testing conditions. The worldwide aging population creates demand for increased accuracy of early diagnosis. An increase in the number of people with end stage diabetes, cancer, and severe respiratory diseases creates need for advanced medical diagnostic capabilities that work earlier in the evolution of disease, creating the ability to implement therapies that are lifesaving.