Reinforcement learning for individualized lung cancer screening schedules: A nested case–control study

Reinforcement learning for individualized lung cancer screening schedules: A nested case–control study

Abstract Background The current guidelines for managing screen‐detected pulmonary nodules offer rule‐based recommendations for immediate diagnostic work‐up or follow‐up at intervals of 3, 6, or 12 months. Customized visit plans are lacking. Purpose To develop individualized screening schedules using...

Bibliográfalaš dieđut
Váldodahkkit:	Zixing Wang, Xin Sui, Wei Song, Fang Xue, Wei Han, Yaoda Hu, Jingmei Jiang
Materiálatiipa:	Artihkal
Giella:	English
Almmustuhtton:	Wiley 2024-07-01
Ráidu:	Cancer Medicine
Fáttát:	follow‐up personalized cancer screening pulmonary nodule reinforcement learning
Liŋkkat:	https://doi.org/10.1002/cam4.7436

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