Artificial Intelligence (AI) has profoundly influenced the field of biomedicine, offering innovative solutions to complex challenges in medical diagnostics, drug discovery, and personalized treatment. This review examines the current state of AI applications in biomedicine, focusing on advancements in medical imaging, genomics, drug discovery, and personalized medicine. We discuss recent breakthroughs, explore the impact of AI on these areas, and address key challenges such as data quality, model interpretability, and integration into clinical practice. Finally, we propose future research directions to enhance the effectiveness and integration of AI in biomedicine. This review highlights the transformative potential of AI in improving healthcare outcomes and driving future innovations.
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Sharanabasappa et al. (2024) studied this question.
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