How can AI improve diagnosis accuracy in healthcare?
AI can analyze vast amounts of medical data quickly, identifying patterns that may be missed by human doctors.
What types of data does AI use for diagnosis?
AI uses patient records, imaging data, lab results, and even genetic information to make more accurate diagnoses.
Are there any real-world examples of AI improving diagnosis?
Yes, AI has been used in radiology to detect tumors in imaging scans with higher accuracy than some radiologists.
What are the challenges of using AI in diagnosis?
Challenges include data privacy concerns, the need for high-quality data, and ensuring AI systems are transparent and explainable.
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