AI for Synthetic Data

Articles published in this theme: 5 (scroll down to load remaining articles)

2026

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Balancing Privacy and Utility in Child and Adolescent Mental Health Services Research: Retrospective Cohort Study on Synthetic Data Generation

Mounir Haizoune, Bennett L Leventhal, Dipendra Pant, Øystein Nytrø, Kaban Koochakpour, Roman A Koposov, Lars Ravn Øhlckers, Norbert Skokauskas

JMIR Med Inform 2026 (Feb 26); 14:e71819

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2025

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Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study

Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain

JMIR Med Inform 2025 (Sep 29); 13:e74116

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Validation of The Umbrella Collaboration for Tertiary Evidence Synthesis in Geriatrics: Mixed Methods Study

Beltran Carrillo, Marta Rubinos-Cuadrado, Jazmin Parellada, Alejandra Palacios, Beltran Carrillo-Rubinos, Fernando Canillas, Juan José Baztán Cortés, Javier Gómez-Pavón

JMIR Form Res 2025 (Jul 08); 9:e75215

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Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study

Ruochen Huang, Honghan Wu, Yuhan Yuan, Yifan Xu, Hao Qian, Changwei Zhang, Xin Wei, Shan Lu, Xin Zhang, Jingbao Kan, Cheng Wan, Yun Liu

J Med Internet Res 2025 (May 12); 27:e65317

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Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Marko Miletic, Murat Sariyar

JMIR AI 2025 (Mar 20); 4:e65729

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