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Ethics Principles for Artificial Intelligence–Based Telemedicine for Public Health

Simona Tiribelli, Annabelle Monnot, Syed Fazal Hussein Shah, Anmol Arora, Ping J. Toong, Sokanha Kong

2023American Journal of Public Health15 citationsDOIOpen Access PDF

Abstract

The use of artificial intelligence (AI) in the field of telemedicine has grown exponentially over the past decade, along with the adoption of AI-based telemedicine to support public health systems. Although AI-based telemedicine can open up novel opportunities for the delivery of clinical health and care and become a strong aid to public health systems worldwide, it also comes with ethical risks that should be detected, prevented, or mitigated for the responsible use of AI-based telemedicine in and for public health. However, despite the current proliferation of AI ethics frameworks, thus far, none have been developed for the design of AI-based telemedicine, especially for the adoption of AI-based telemedicine in and for public health. We aimed to fill this gap by mapping the most relevant AI ethics principles for AI-based telemedicine for public health and by showing the need to revise them via major ethical themes emerging from bioethics, medical ethics, and public health ethics toward the definition of a unified set of 6 AI ethics principles for the implementation of AI-based telemedicine. (Am J Public Health. 2023;113(5):577–584. https://doi.org/10.2105/AJPH.2023.307225 )

Topics & Concepts

TelemedicineBioethicsPublic healthMedical ethicsHealth careMedicinePublic relationsEngineering ethicsPolitical scienceNursingEngineeringLawPsychiatryArtificial Intelligence in Healthcare and EducationEthics in Clinical ResearchTelemedicine and Telehealth Implementation
Ethics Principles for Artificial Intelligence–Based Telemedicine for Public Health | Litcius