Machine Learning Expands Across Endocrinology
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By
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March 4, 2026
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4 min
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ML applications in endocrinology have grown rapidly since
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1,130 studies reviewed, predominantly focused on thyroid disorders.
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ML techniques include imaging, risk prediction, and modeling treatment response.
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Key limitations included model transparency and data imbalance.
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High diagnostic performance achieved in certain ML applications like thyroid ultrasound.
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Collaborative efforts are essential for effective ML integration in clinical settings.