Artificial intelligence in medicine and medical education: current applications, challenges, and future directions.
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Artificial intelligence in medicine and medical education: current applications, challenges, and future directions.
Abstract
The rise of AI in medicine promises personalized care, better diagnosis, and innovative training: analyzing images, predicting diseases, and adapting treatments. But it also raises ethical concerns: biased data can lead to unfair diagnoses, and some AI systems lack transparency, raising trust issues. The editorial suggests solutions, including ethical frameworks, transparent AI, and legal regulation. We envision a future where AI complements physicians and cross-disciplinary collaboration is necessary. To prepare the physicians of the future, medical schools must incorporate AI and ethics into their curricula. AI holds great promise, but there are also challenges to overcome. Through collaboration and responsible development, AI can revolutionize healthcare, working alongside human expertise.
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