Jackie Cuda*
Artificial intelligence has emerged as a transformative technology in healthcare, offering new tools and approaches to improve diagnostics and patient care. In histopathology, AI has the potential to revolutionize traditional practices by enhancing accuracy, efficiency, and scalability. This review explores the opportunities presented by AI in histopathology, including automated image analysis, predictive modeling, and personalized medicine. Additionally, ethical considerations surrounding the adoption of AI in histopathology practice are discussed, highlighting issues related to data privacy, algorithm bias, and professional responsibility.
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