Artificial intelligence (AI) is set to transform the field of endocrinology, but with caution. Endocrinology is a complex field with intricate biological systems, making it uniquely suited for AI. Already, AI-based tools have revolutionized endocrinology, such as AI biosensors for continuous glucose monitoring systems and automated insulin-delivery systems. AI has also improved the detection and analysis of thyroid nodules, potential malignancies, and osteoporosis. AI algorithms have shown promise in diagnosing central lymph node metastasis in papillary thyroid cancer and differentiating between subclinical pheochromocytoma and lipid-poor adenomas in adrenal tumors. AI-based algorithms have also demonstrated diagnostic accuracy in measuring bone mineral density and predicting fracture risk in osteoporosis. However, the use of AI in chatbots has faced challenges. Studies show that large language models like ChatGPT can generate errors, inconsistencies, and provide inaccurate medical advice. Expert human intervention and validation are necessary when using AI in the synthesis of clinical guidelines and interpreting treatment recommendations. Despite the hurdles, the potential benefits of AI in endocrinology are vast, but caution and human oversight are crucial. What are your thoughts on the use of AI in endocrinology? Comment below!
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