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NPJ Digital Medicine|November 4, 2020
Deep learning from "passive feeding" to "selective eating" of real-world dataZhongwen Li, Chong Guo, Danyao Nie, et al.
NPJ Digital Medicine|October 6, 2023
Autonomous AI systems in the face of liability, regulations and costsAgustina D Saenz, Zach Harned, Oishi Banerjee, et al.
NPJ Digital Medicine|May 5, 2023
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depressionAlaa Abd-Alrazaq, Rawan AlSaad, Farag Shuweihdi, et al.
NPJ Digital Medicine|June 21, 2026
HRRT: hierarchical reinforcement learning for renal replacement therapy decision supportQianyi Xu, Feng Wu, Zi Yi Christopher Thong, et al.
NPJ Digital Medicine|July 8, 2026
Injury prediction in elite women's football: an integrative machine learning-based decision-support frameworkManuel Huth, Berta Canal-Simón, Eva Ferrer, et al.
NPJ Digital Medicine|July 7, 2026
Benchmarking large language models against practicing clinicians on psychopathological assessmentEsra Lenz, Joonas Naamanka, Wolfgang Trabert, et al.
NPJ Digital Medicine|July 7, 2026
Clinical trials and evaluation of AI tools in solid organ transplantation: implications for clinical care, regulatory science, and rare diseasesBima J Hasjim, Annabel Koivu, Mina Sagheb, et al.
NPJ Digital Medicine|July 7, 2026
An Interpretable AI System for Oral Leukoplakia Progression: From Early Screening to Lesion DelineationLinfei Feng, Guanyu Chen, Huabao Chen, et al.
NPJ Digital Medicine|July 10, 2026
Applications of traditional machine learning and deep learning algorithms in obesity prediction or classification: a systematic review of comparative performanceMehrdad Jamali, Meysam Zarezadeh, Mohammad Vesal Bideshki, et al.
NPJ Digital Medicine|June 20, 2026
Interpretable machine learning model for predicting kidney failure among CAKUT children in multicenter large-scale studyTianyi Liu, Helin Wang, Jialu Liu, et al.
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