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腎臓科学における人工知能: 多様性知能による精度

Pushkala Jayaraman1, Ishita Vasudev2, Akinchan Bhardwaj3

  • 1The Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine Mount Sinai, New York, USA.

Indian journal of nephrology
|September 2, 2025
PubMed
まとめ

人工知能 (AI) は腎臓病の早期発見とパーソナライズされた治療に 重要な進歩をもたらします 腎臓のケアにおけるAI導入のデータ統合と倫理基準に 課題が残っています

キーワード:
アルゴリズム人工知能集中治療GPT-4 について機械学習予測モデル

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Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
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Chronic Kidney Disease I: Introduction01:25

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