Finding Knowledge Translation Articles in CINAHL. - Cynthia Lokker; K. Ann McKibbon; Nancy L. Wilczynski; R. Brian Haynes; Donna Ciliska; Maureen Dobbins; David A. Davis; Sharon E. Straus (MedInfo, 2010)

Personal health records: a scoping review. - Norman P. Archer; U. Fevrier-Thomas; Cynthia Lokker; K. Ann McKibbon; Sharon E. Straus (J. Am. Medical Informatics Assoc., 2011)

Retrieval of diagnostic and treatment studies for clinical use through PubMed and PubMed's Clinical Queries filters. - Cynthia Lokker; R. Brian Haynes; Nancy L. Wilczynski; K. Ann McKibbon; Stephen D. Walter (J. Am. Medical Informatics Assoc., 2011)

Determining the impact factors of secondary journals: A retrospective cohort study. - Cynthia Lokker; R. Brian Haynes; K. Ann McKibbon; Nancy L. Wilczynski (J. Assoc. Inf. Sci. Technol., 2011)

The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials. - K. Ann McKibbon; Cynthia Lokker; Steven M. Handler; Lisa R. Dolovich; Anne Holbrook; Daria O'Reilly; Robyn Tamblyn; Brian J. Hemens; Runki Basu; Sue Troyan; Pavel S. Roshanov (J. Am. Medical Informatics Assoc., 2012)

The economics of health information technology in medication management: a systematic review of economic evaluations. - Daria O'Reilly; Jean-Eric Tarride; Ron Goeree; Cynthia Lokker; K. Ann McKibbon (J. Am. Medical Informatics Assoc., 2012)

Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities. - Ricardo Gonzalez; Ashirbani Saha; Clinton J. V. Campbell; Peyman Nejat; Cynthia Lokker; Andrew P. Norgan (CoRR, 2023)

Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review. - Ricardo Gonzalez; Peyman Nejat; Ashirbani Saha; Clinton J. V. Campbell; Andrew P. Norgan; Cynthia Lokker (CoRR, 2023)

Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. - Cynthia Lokker; Elham Bagheri; Wael Abdelkader; Rick Parrish; Muhammad Afzal 001; Tamara Navarro; Chris Cotoi; Federico Germini; Lori Linkins; R. Brian Haynes; Lingyang Chu; Alfonso Iorio (J. Biomed. Informatics, 2023)

Benchmarking domain-specific pretrained language models to identify the best model for methodological rigor in clinical studies. - Fangwen Zhou; Rick Parrish; Muhammad Afzal 001; Ashirbani Saha; R. Brian Haynes; Alfonso Iorio; Cynthia Lokker (J. Biomed. Informatics, 2025)