AI Data

AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

Takeshi Kondo, Hiroshi Nishigori

JMIR Med Educ 2025 (Oct 15); 11:e68697

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Domain-Specific Pretraining of NorDeClin-Bidirectional Encoder Representations From Transformers for International Statistical Classification of Diseases, Tenth Revision, Code Prediction in Norwegian Clinical Texts: Model Development and Evaluation Study

Phuong Dinh Ngo, Miguel Ángel Tejedor Hernández, Taridzo Chomutare, Andrius Budrionis, Therese Olsen Svenning, Torbjørn Torsvik, Anastasios Lamproudis, Hercules Dalianis

JMIR AI 2025 (Aug 25); 4:e66153

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Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study

Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam

J Med Internet Res 2025 (Aug 18); 27:e77893

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Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures

Richard Gebler, Ines Reinecke, Martin Sedlmayr, Miriam Goldammer

J Med Internet Res 2025 (Aug 01); 27:e74976

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Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability

Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

J Med Internet Res 2025 (Mar 24); 27:e66273

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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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