"AI will change the world of health care,” said Siemens Healthineers CFO Jochen Schmitz at the Jefferies 2019 Global Healthcare Conference in November 2019. Siemens' in vitro diagnostics, imaging and advanced therapy group posted annual 2018-19 comparable sales up 5.8% that same month and Schmitz was looking ahead to future reporting periods when artificial intelligence (AI) would be having a clear and identifiable influence on revenues. “The health-care industry can and will benefit from digital and AI, and imaging, radiology and lab testing are the clear and obvious entry doors for AI,” he said.
The requirement for support for physicians during radiological routines is compelling: with more patients needing more examinations and computed tomography (CT) images, clinical staff are prone to being overloaded, and tight turnaround times and fatigue can lead to anomalies being overlooked. Artificial – or augmented ̶ intelligence, on the other hand, works at a constant level of performance
AI Defined
Just as there is no easy definition of what digital health-care comprises, so the parameters for artificial intelligence are equally difficult to establish. In its recent “AI in Life Sciences” compilation, law and tax firm CMS suggests that, for a program to claim AI capability, it should demonstrate behaviors associated with human intelligence, such as planning, learning, reasoning, problem-solving, knowledge representation, perception, motion and manipulation
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