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Editorial
Healthcare artificial intelligence: the road to hell is paved with good intentions

Authors

  • Usman Iqbal Global Health and Health Security Department, College of Public Health, Taipei Medical University, Taipei, TaiwanHealthICT, Department of Health, Tasmania, Australia PubMed articlesGoogle scholar articles
  • Leo Anthony Celi Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USADivision of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USADepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA PubMed articlesGoogle scholar articles
  • Yi-Hsin (Elsa) Hsu BioTech EMBA Program, International PhD Program in Biotech and Healthcare Management, School of Healthcare Administration, College of Management, Taipei Medical University, Taipei, TaiwanSchool of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan PubMed articlesGoogle scholar articles
  • Yu-Chuan (Jack) Li Graduate Institute of Biomedical Informatics, College of Medical Science & Technology, Taipei Medical University, Taipei, TaiwanDermatology Department, Wan-Fang Hospital, Taipei, TaiwanInternational Association of Medical Informatics (IMIA), Geneva, Switzerland PubMed articlesGoogle scholar articles
  1. Correspondence to Prof. Dr Yu-Chuan (Jack) Li; jack{at}tmu.edu.tw

Citation

Iqbal U, Celi LA, Hsu Y(, et al
Healthcare artificial intelligence: the road to hell is paved with good intentions
BMJ Health & Care Informatics 2022;29:e100650. doi: 10.1136/bmjhci-2022-100650

Publication history

  • Received July 18, 2022
  • Accepted July 21, 2022
  • First published August 8, 2022.
Online issue publication 
August 08, 2022

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Copyright information

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.