Hdjan24net !!better!! May 2026
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- Data Privacy: AI systems rely on sensitive health data, raising concerns about breaches and misuse.
- Bias in Algorithms: Training datasets often reflect historical disparities, risking unequal treatment recommendations for marginalized groups.
- Regulatory Hurdles: The FDA’s 2023 framework for AI/ML-based software as a medical device (SaMD) is a step toward safer integration, but global standards remain fragmented.
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