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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60204, first published .
Healthcare professional in mask and gloves interacts with futuristic medical interface.

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation

Journals

  1. Zhao C, Li R, Hua L, Li H, Zhang M, Wang B. Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care. Frontiers in Computational Neuroscience 2026;20 View
  2. Al Mahrizi A, Mossolem F, Blundell R. Estimating original bacterial loads from delayed clinical samples: A methodological Modeling and empirical validation study. Journal of Microbiological Methods 2026;244:107456 View
  3. Talavera-Cobo V, Robles-Garcia J, Guillen-Grima F, Calva-Lopez A, Tapia-Tapia M, Labairu-Huerta L, Ancizu-Marckert F, Guillen-Aguinaga L, Sanchez-Zalabardo D, Miñana-Lopez B. Prioritising Data Quality Governance for AI in Prostate Cancer: A Methodological Proof-of-Concept Study Using Neural Networks for Risk Stratification. Diagnostics 2026;16(10):1454 View
  4. Lim M, An D, Son N, Sunwoo W, Lee S. A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality Study. JMIR Medical Informatics 2026;14:e68935 View

Conference Proceedings

  1. Patil V, Kokare M. 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). Intelligent Binary Descriptor Generation through GA Based Dimension Selection in MPEG CDVS and LDVS for Visual Search View