Version 1
: Received: 2 February 2024 / Approved: 2 February 2024 / Online: 4 February 2024 (16:02:37 CET)
How to cite:
Qureshi, J.; Khan, S. Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks. Preprints2024, 2024020176. https://doi.org/10.20944/preprints202402.0176.v1
Qureshi, J.; Khan, S. Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks. Preprints 2024, 2024020176. https://doi.org/10.20944/preprints202402.0176.v1
Qureshi, J.; Khan, S. Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks. Preprints2024, 2024020176. https://doi.org/10.20944/preprints202402.0176.v1
APA Style
Qureshi, J., & Khan, S. (2024). Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks. Preprints. https://doi.org/10.20944/preprints202402.0176.v1
Chicago/Turabian Style
Qureshi, J. and Samina Khan. 2024 "Artificial Intelligence (AI) Deepfakes in Healthcare Systems: A Double-Edged Sword? Balancing Opportunities and Navigating Risks" Preprints. https://doi.org/10.20944/preprints202402.0176.v1
Abstract
AbstractThe escalating impact of artificial intelligence (AI) has birthed the fascinating technology of deepfakes, capable of meticulously crafting hyper-realistic audio-visual manipulations. Within the realm of healthcare, this technology presents a double-edged sword, brimming with potential for revolutionizing various facets of care delivery while simultaneously harboring significant ethical and practical challenges. This research delves into the complex narrative surrounding AI deepfakes in healthcare, meticulously analyzing both the exciting opportunities they offer, and the inherent risks associated with their implementation.Background:Traditional healthcare practices face limitations in patient engagement, accessibility, and training efficacy. Deepfakes, with their ability to simulate real-world scenarios and interactions, emerge as a potential solution, offering personalized patient education, immersive mental health interventions, remote consultations with virtual avatars, and realistic training simulations for medical professionals.Objective:This research aims to comprehensively understand the multifaceted impact of AI deepfakes in healthcare systems. It seeks to:Identify and analyze the potential benefits of deepfakes in specific healthcare applications.Assess the ethical and practical challenges associated with deepfake implementation in healthcare settings.Propose recommendations for safe, responsible, and ethical integration of deepfakes within the healthcare system.Results/Conclusion:The research findings illuminate a landscape replete with opportunities and challenges. Deepfakes offer the potential to enhance patient education, personalize mental health interventions, facilitate remote consultations, and revolutionize medical training. However, concerns regarding misinformation, ethical breaches, data privacy, and technical limitations pose significant challenges.The conclusion emphasizes the need for a balanced approach that capitalizes on the innovative potential of deepfakes while mitigating potential harm. Collaborative efforts involving healthcare professionals, technologists, and policymakers are crucial for establishing ethical frameworks, ensuring responsible development, and harnessing the positive power of deepfakes to build a future where healthcare benefits from cutting-edge technology while prioritizing patient well-being and ethical principles.
Keywords
AI deepfakes; healthcare; opportunities; challenges; ethics; misinformation; data privacy; technical limitations; responsible development; ethical frameworks
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
