Is AI in Healthcare Doomed, or Destined for Greatness?

Bijan Elahi

doi:10.56094/jss.v55i3.38

Authors

Bijan Elahi

DOI:

https://doi.org/10.56094/jss.v55i3.38

Keywords:

AI, healthcare, challenges, patient safety

Abstract

Fully automatic and autonomous medical systems are already released and being used. Nurses and doctors have started adopting the technology to reduce manual work, and to provide more accurate service and impactful interventions to patients. Increased access, better outcomes, reduced costs and more personal and customized healthcare are the promise of AI. But unlike other commercial systems where performance is paramount, in healthcare, patient safety is the primary concern. There is a tremendous drive to capitalize on AI capabilities as soon as possible and as much as possible. However, there is a risk to AI's success. People expect infallibility from AI – far more than they expect from human physicians. As a result, only a few catastrophic events involving AI could spell doom for AI in healthcare.

Author Biography

Bijan Elahi

Bijan Elahi is an author and a global product risk-management consultant for Medtronic. He is also an educator and lecturer at the Eindhoven University of Technology and the Delft University of Technology.

References

Makary, Martin A. "Medical error - third leading cause of death in the US," BMJ 2016;353:i2139, 2016. https://doi.org/10.1136/bmj.i2139 DOI: https://doi.org/10.1136/bmj.i2139

Sullivan, Tom. "3 charts show where artificial intelligence is making an impact in healthcare right now," HealthcareIT News, December 21, 2018. Retrieved from https://www.healthcareitnews.com/news/3-charts-show-where- artificial-intelligence-making-impact-healthcare-right-now

Marr, Bernard. "How Is AI Used in Healthcare - 5 Powerful Real-World Examples That Show the Latest Ad-vances," Forbes, July 27, 2018. Retrieved from https://www.forbes.com/sites/bernardmarr/2018/07/27/how-is-ai-used-in-healthcare-5-powerful-real-world-examples- that-show-the-latest-advances/#6fa897dd5dfb

Accenture. "Artificial Intelligence: Healthcare's New Nervous System," 2017. Retrieved from https://www.accen-ture.com/_acnmedia/PDF-49/Accenture-Health-Artificial-Intelligence.pdf

Wang, Xiaodong. "AI defeats elite doctors in diagnosis competition," The Telegraph, July 24, 2018. Retrieved from https://www.telegraph.co.uk/china-watch/technology/artificial-intelligence-in-medicine/

Vincent, James. "AI that detects cardiac arrests during emergency calls will be tested across Europe this summer," The Verge, April 2018. Retrieved from https://www.theverge.com/2018/4/25/17278994/ai-cardiac-arrest-corti-emergency-call-response

Marr, Bernard. "The Incredible Ways Artificial Intelligence is Now Used in Mental Health," Forbes, May 3, 2019.Retrieved from https://www.forbes.com/sites/bernardmarr/2019/05/03/the-incredible-ways-artificial-intelli-gence-is- now-used-in-mental-health/#47ed6d05d02e

Bradley, Tony. "Facebook AI Creates Its Own Language In Creepy Preview Of Our Potential Future," Forbes, July 31, 2017. Retrieved from https://www.forbes.com/sites/tonybradley/2017/07/31/facebook-ai-creates-its-own-language- in-creepy-preview-of-our-potential-future/#5e80d905292c

Frost & Sullivan. "From $600 M to $6 Billion, Artificial Intelligence Systems Poised for Dramatic Market Expansion in Healthcare," January 5, 2016. Retrieved from https://ww2.frost.com/news/press-releases/600-m-6-bil-lion-artificial-intelligence-systems-poised-dramatic-market- expansion-healthcare/

Wang, Dayong, et al. "Deep Learning for Identifying Metastatic Breast Cancer," Cornell University, June 18, 2016. https://doi.org/10.48550/arXiv.1606.05718