From the Journals

Machine Learning Expands Across Endocrinology

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  • 1

    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.

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