Artificial intelligence set to disrupt healthcare

Anew report has forecast that annual spending on computer-aided diagnosis (CAD) systems will reach US$800-million by 2022, as artificial intelligence (AI) startups exert greater impact on healthcare 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 research, “Digital Health: Vendor Analysis, Emerging Technologies & Market Forecasts 2017-2022”, from Juniper Research, found that AI was increasingly being applied to a range of uses, from understanding patients’ symptoms to interpreting genomic data sets.

It found that despite emerging use cases, the use of AI for CAD systems was still the most compelling, as it could generate significant cost savings, forecast at $126m for first-line CAD systems in 2022.

The report found that AI will be utilised in Big Data analytics solutions, allowing the processing of more complex datasets, such as doctors’ notes in an electronic health record (EHR). Juniper Research believe that AI, EHR systems and analytics platforms will increasingly be integrated into one system.