What are the main limitations of AI in healthcare?
AI in healthcare faces limitations like data privacy concerns, lack of interpretability, and potential biases in algorithms.
Can AI replace doctors in diagnosing diseases?
AI can assist in diagnosis but cannot fully replace doctors due to the need for human judgment and empathy.
How does data quality affect AI performance in healthcare?
Poor data quality can lead to inaccurate predictions and decisions, making it crucial to ensure high-quality data.
What ethical concerns are associated with AI in healthcare?
Ethical concerns include patient consent, data security, and the potential for biased treatment recommendations.
Are there any successful examples of AI in healthcare?
Yes, AI has been successfully used in areas like radiology for image analysis and predictive analytics for patient outcomes.
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