Evidence record 9676 · automatically gathered

Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, and societal challenges. Key concerns include data privacy risks, algorithmic bias, and regulatory gaps that struggle to keep pace with AI advancements. This study aims to synthesize a multidisciplinary framework for trustworthy AI in healthcare, focusing on transparency, accountability, fairne

Record details

Published: 27 February 2025
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Regulation · Privacy · Healthcare
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (27 February 2025), “Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI,” evidence record 9676, https://ethics.ai/record/9676 (originally published by OpenAlex).

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