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Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment
1. Introduction Sophisticated computational models and algorithms, combined with powerful computers and the availability of vast amounts of data, have recently accelerated the application of artificial intelligence (AI) in various fields. This is primarily driven by the development of machine learning (ML), which has contributed to advances in data science and statistical prediction (1).
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