Artificial intelligence in healthcare shows remarkable technological progress, yet clinical outcomes remain disappointing. Despite significant investments and algorithmic breakthroughs, medical AI systems struggle to demonstrate measurable improvements in patient care delivery. The gap between theoretical capabilities and practical implementation reveals challenges in validation, integration, and real-world performance that the healthcare industry must overcome.

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