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Artificial intelligence (AI) has the potential to revolutionize healthcare by enhancing diagnostic accuracy, reducing administrative burdens, and providing personalized treatment. However, the slow adoption of AI in healthcare is due to obstacles associated with ethical considerations, data management, regulations, and technological capabilities. The results of our study highlight specific challenges related to ethics, technology, regulatory, social, economic, and workforce barriers that affect the implementation of AI in healthcare. We aim to improve current knowledge by providing a more comprehensive understanding, by bridging the gap, and addressing the barriers to implement AI in the healthcare sector.
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Pavithra Madala (2024) studied this question.
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