2021
DOI: 10.1007/978-3-030-65896-0_22
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Six Areas of Healthcare Where AI Is Effectively Saving Lives Today

Abstract: Less incidents in heart surgeries, less time-to-intervention in case of a stroke, lower costs due to less claim denials for hospitals, less deaths due to an earlier detection of breast cancer—these are real-world examples of AI being the catalyst of the next quantum leap in healthcare. Researchers, entrepreneurs, and tech incumbents are active within all subfields of healthcare and proofing the value of data-driven and AI-based initiatives. This paper aims at giving an overview of the broad variety of such eng… Show more

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Cited by 4 publications
(2 citation statements)
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“…As an example, the U.S. Army recruits future soldiers by using the "SGT Star," an AI interactive virtual agent that can accomplish recruitment tasks with a 94% accuracy rate (Ask SGT STAR, n.d.;Maass, 2014). In other large industries, AI has already changed the labor market by introducing new technologies for employees to work with; for example, traceability systems to improve the quality control in the agri-food sector (Ben Ayed & Hanana, 2021), precision diagnostics to reduce time-to-treatment in healthcare (Bauer & Thamm, 2021), and automatically controlled smart devices in the manufacturing sector (Wan et al, 2021). While these examples show that AI can contribute to improving outcomes for the environment and human health, they also illustrate how employees need to show strong adaptation skills perhaps now more than ever.…”
Section: Introductionmentioning
confidence: 99%
“…As an example, the U.S. Army recruits future soldiers by using the "SGT Star," an AI interactive virtual agent that can accomplish recruitment tasks with a 94% accuracy rate (Ask SGT STAR, n.d.;Maass, 2014). In other large industries, AI has already changed the labor market by introducing new technologies for employees to work with; for example, traceability systems to improve the quality control in the agri-food sector (Ben Ayed & Hanana, 2021), precision diagnostics to reduce time-to-treatment in healthcare (Bauer & Thamm, 2021), and automatically controlled smart devices in the manufacturing sector (Wan et al, 2021). While these examples show that AI can contribute to improving outcomes for the environment and human health, they also illustrate how employees need to show strong adaptation skills perhaps now more than ever.…”
Section: Introductionmentioning
confidence: 99%
“…It should be noted that those who had used AI at work were less likely to believe that AI would reduce the demand for radiologists. This may be attributed to the increasing use of AI in the workplace to enhance workflow, allowing radiologists to concentrate more on patient care [80]. For instance, radiology experts believe that AI will not replace radiologists; instead, radiologists who use AI will replace those who do not [81].…”
Section: Principal Findingsmentioning
confidence: 99%