International Journal on Science and Technology

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Ethical Challenges in Deploying AI in Medical Diagnostics: A Case Study Approach

Author(s) Cibaca Khandelwal
Country United States
Abstract The rapid integration of artificial intelligence (AI) into medical diagnostics is transforming healthcare at an unprecedented pace. By November 2024, over 70% of hospitals in high-income countries are projected to be using AI in at least one diagnostic function. This swift advancement, while promising accurate, efficient, and early disease detection, also brings forth critical ethical challenges related to bias, accountability, transparency, and patient autonomy. This paper explores these issues through illustrative examples, proposes solutions grounded in ethical frameworks, and discusses the long-term implications for healthcare systems and patient outcomes. By addressing these challenges, this study aims to foster a more equitable, transparent, and ethical adoption of AI in diagnostics.
Keywords Artificial Intelligence in Healthcare, Ethical Challenges, Medical Diagnostics, Bias and Fairness in AI, Patient Autonomy, Transparency and Accountability, Explainable AI, Data Privacy and Security, Regulatory Frameworks, Human-AI Collaboration, AI in Low- and Middle-Income Countries, Healthcare Equity, AI Bias Mitigation, Ethical Frameworks
Field Engineering
Published In Volume 15, Issue 4, October-December 2024
Published On 2024-11-05
Cite This Ethical Challenges in Deploying AI in Medical Diagnostics: A Case Study Approach - Cibaca Khandelwal - IJSAT Volume 15, Issue 4, October-December 2024. DOI 10.5281/zenodo.14752323
DOI https://doi.org/10.5281/zenodo.14752323
Short DOI https://doi.org/g826s8
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