BoneHumansOsteoporosisMachine LearningFemaleMale
Development of an explainable machine learning model to reproduce and interpret expert pharmacological decisions in osteoporosis treatment.
Yutaro Sugawara, Tomohiro Shimizu, Hotaka Ishizu, Kosuke Arita, Yusuke Ohashi, Shu Yamazaki, Terufumi Kokabu, Katsuhisa Yamada, Norimasa Iwasaki
Published: 202610.1016/j.bone.2025.117745
Abstract
The management of osteoporosis in real-world clinical practice is highly heterogeneous, reflecting the complexity and variability inherent in therapeutic decision-making. Although artificial intelligence (AI)-based tools have been developed to suppor…
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