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September 10, 2025World Journal of SurgeryOpen Access

Ethical Pitfalls in AI‐Based Predictive Models in Surgery

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Analysis reveals ethical concerns across predictive models in surgery, highlighting algorithmic bias and patient privacy issues.

Ethical challenges in predictive models can undermine patient trust and safety in surgical contexts.
Key risks include algorithmic bias and privacy breaches that can impact diverse patient populations.
Strategies such as standardized data collection and continuous auditing can help mitigate ethical risks in surgical prediction.
Future clinicians must be educated on both ethical issues and clinical reasoning to ensure responsible use of predictive models.

Hmido et al. (2025) studied this question.

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September 10, 2025World Journal of SurgeryOpen Access

View Full Paper

Ask AI

Bookmark

Authors

Analysis reveals ethical concerns across predictive models in surgery, highlighting algorithmic bias and patient privacy issues.

Ethical challenges in predictive models can undermine patient trust and safety in surgical contexts.
Key risks include algorithmic bias and privacy breaches that can impact diverse patient populations.
Strategies such as standardized data collection and continuous auditing can help mitigate ethical risks in surgical prediction.
Future clinicians must be educated on both ethical issues and clinical reasoning to ensure responsible use of predictive models.

Hmido et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark