Taking Off with AI: Lessons from Aviation for Healthcare

Author:

Bondi-Kelly Elizabeth1ORCID,Hartvigsen Tom2ORCID,Sanneman Lindsay M2ORCID,Sankaranarayanan Swami2ORCID,Harned Zach3ORCID,Wickerson Grace4ORCID,Gichoya Judy Wawira5ORCID,Oakden-Rayner Lauren6ORCID,Celi Leo Anthony7ORCID,Lungren Matthew P8ORCID,Shah Julie A2ORCID,Ghassemi Marzyeh9ORCID

Affiliation:

1. MIT, USA and University of Michigan, USA

2. MIT, USA

3. Stanford University, USA

4. Federation of American Scientists, USA

5. Emory University, USA

6. University of Adelaide, Australia

7. Laboratory for Computational Physiology, MIT, USA and Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, USA

8. Stanford University, USA and Microsoft, USA

9. MIT, United States

Funder

National Institute of Health

Publisher

ACM

Reference174 articles.

1. Michael  D Abràmoff , Cybil Roehrenbeck , Sylvia Trujillo , Juli Goldstein , Anitra  S Graves , Michael  X Repka , and Ezequiel  “ Zeke ” Silva III. 2022 . A reimbursement framework for artificial intelligence in healthcare. NPJ digital medicine 5, 1 (2022), 72. Michael D Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli Goldstein, Anitra S Graves, Michael X Repka, and Ezequiel “Zeke” Silva III. 2022. A reimbursement framework for artificial intelligence in healthcare. NPJ digital medicine 5, 1 (2022), 72.

2. Mitigating the impact of biased artificial intelligence in emergency decision-making

3. Katie Adams. 2023. Epic to Integrate GPT-4 into Its EHR Through Expanded Microsoft Partnership. https://medcitynews.com/2023/04/epic-to-integrate-gpt-4-into-its-ehr-through-expanded-microsoft-partnership/. Katie Adams. 2023. Epic to Integrate GPT-4 into Its EHR Through Expanded Microsoft Partnership. https://medcitynews.com/2023/04/epic-to-integrate-gpt-4-into-its-ehr-through-expanded-microsoft-partnership/.

4. Adewole  S Adamson and Avery Smith . 2018. Machine learning and health care disparities in dermatology. JAMA dermatology 154, 11 ( 2018 ), 1247–1248. Adewole S Adamson and Avery Smith. 2018. Machine learning and health care disparities in dermatology. JAMA dermatology 154, 11 (2018), 1247–1248.

5. Federal Aviation Administration. 2000. Advisory Circular 23-18: Installation of Terrain Awareness and Warning System (TAWS) Approved for Part 23 Airplanes. Federal Aviation Administration. 2000. Advisory Circular 23-18: Installation of Terrain Awareness and Warning System (TAWS) Approved for Part 23 Airplanes.

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