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AI in healthcare faces major hurdles like poor data quality, ethical concerns, high costs, and integration issues with old systems. Bias in algorithms and lack of trust make adoption slow. Many healthcare providers also struggle with limited AI skills and training. Resistance from medical staff adds to the challenge. Learn more in this detailed guide: What Are the Main Challenges in Implementing AI in Healthcare?.
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