This analysis highlights ethical challenges and stakeholder perspectives in medical AI, suggesting collaborative solutions.
Artificial intelligence (AI) is expected to be utilized in the medical field for diagnostic support, prognostic prediction, and improving the efficiency of operations in healthcare settings. However, ethical challenges such as the opacity of decision-making, explainability, and equitable access have been identified as key limitations to the widespread adoption of AI in healthcare. As medical AI influences the doctor-patient relationship and the nature of healthcare, discussions and collaborations that incorporate the perspectives of various stakeholders are required.
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Kogetsu et al. (2025) studied this question.
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