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This review paper discusses the ethical challenges posed by the use of artificial intelligence (AI) in medical research, focusing on issues such as data privacy, algorithmic bias, and the need for transparency and accountability. It proposes various strategies to address these challenges, including advanced techniques like differential privacy, federated learning, and explainable AI models. The paper aims to provide guidance for the responsible development of AI technologies in the medical field, ensuring e

Author

gniwespinosawing

Language

EN