Health care disruption

A new report from Juniper Research has forecast that annual spending on computer aided diagnosis (CAD) systems will reach $800 million globally by 2022, as AI (artificial intelligence) start-ups exert greater impact on health care delivery. Driven by the improved accuracy and usability of CAD systems, this will result in faster and more accurate diagnoses for patients, as well as reduced pressure on doctors. By 2022, 28.4 million chronic disease scans will be fed into first-line CAD systems annually. The new research, “Digital Health: Vendor Analysis, Emerging Technologies & Market Forecasts 20172022”, found AI is increasingly being applied to a varied range of use cases, from powering chatbots to understanding patients’ symptoms or interpreting genomic data sets. It found that despite emerging use cases, the use of AI for CAD systems was still the most compelling.