“AI will change the world of health care.” So said Siemens Healthineers AG CFO Jochen Schmitz, addressing a room full of investors at the Jefferies Global Healthcare Conference in November 2019. The IVDs and imaging group had posted annual 2018-2019 groups sales up 5.8% that same month, and Schmitz was looking ahead to future reporting periods when 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 and radiology are the clear and obvious doors of entry for AI,” he said.
The requirement for support for physicians during radiological routines is compelling: with more patients needing more examinations and 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 single definition of what digital health care comprises, so the parameters for artificial intelligence are 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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