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Abstract
Artificial intelligence (AI) has gained attention for various reasons in recent years, surrounded by speculation, concerns, and expectations. Despite being developed since 1960, its widespread application took several decades due to limited computing power. Today, engineers continually improve system capabilities, enabling AI to handle more complex tasks. Fields like diagnostics and biology benefit from AI’s expansion, as the data they deal with requires sophisticated analysis beyond human capacity. This review showcases AI’s integration in endocrinology, covering molecular to phenotypic patient data. These examples demonstrate AI’s potential and power in research and medicine.
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