McInnes, Matthew D. F.

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement

McInnes, M. D. F., Moher, D., Thombs, B. D., McGrath, T. A., Bossuyt, P. M., and the PRISMA-DTA Group, Clifford, T., Cohen, J. F., Deeks, J. J., Gatsonis, C., et al. (2018) · JAMA

Meta-analysis and systematic reviewsDelphi Technique in Research

Cited by 3,210

Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist

Salameh, J.-P., Bossuyt, P. M., McGrath, T. A., Thombs, B. D., Hyde, C. J., Macaskill, P., Deeks, J. J., Leeflang, M., Korevaar, D. A., Whiting, P., et al. (2020) · BMJ

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 719

Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection

Dinnes, J., Deeks, J. J., Berhane, S., Taylor, M., Adriano, A., Davenport, C., Dittrich, S., Emperador, D., Takwoingi, Y., Cunningham, J., et al. (2021) · Cochrane Database of Systematic Reviews

SARS-CoV-2 detection and testingCOVID-19 Clinical Research Studies

Cited by 591

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

Sounderajah, V., Ashrafian, H., Aggarwal, R., De Fauw, J., Denniston, A. K., Greaves, F., Karthikesalingam, A., King, D., Liu, X., Markar, S. R., et al. (2020) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 270

Pitfalls of Systematic Reviews and Meta-Analyses in Imaging Research

McInnes, M. D. F., & Bossuyt, P. M. M. (2015) · Radiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 99

Diagnostic accuracy of virtual non-contrast enhanced dual-energy CT for diagnosis of adrenal adenoma: a systematic review and meta-analysis

Connolly, M. J., McInnes, M. D. F., El-Khodary, M., McGrath, T. A., & Schieda, N. (2017) · European Radiology

Adrenal and Paraganglionic TumorsAdvanced X-ray and CT Imaging

Cited by 78

Publication bias in diagnostic imaging: conference abstracts with positive conclusions are more likely to be published

Treanor, L., Frank, R. A., Cherpak, L. A., Dehmoobad Sharifabadi, A., Salameh, J.-P., Hallgrimson, Z., Fabiano, N., McGrath, T. A., Kraaijpoel, N., Yao, J., et al. (2020) · European Radiology

Meta-analysis and systematic reviewsAcademic Writing and Publishing

Cited by 38

Impact of Reference Standard on CT, MRI, and Contrast-enhanced US LI-RADS Diagnosis of Hepatocellular Carcinoma: A Meta-Analysis

van der Pol, C. B., McInnes, M. D. F., Salameh, J.-P., Chernyak, V., Tang, A., Bashir, M. R., for the LI-RADS IPD Group, Allen, B. C., Burke, L. M. B., Choi, J.-Y., et al. (2022) · Radiology

Hepatocellular Carcinoma Treatment and PrognosisRadiomics and Machine Learning in Medical Imaging

Cited by 38

Checklist for Artificial Intelligence in Medical Imaging Reporting Adherence in Peer-Reviewed and Preprint Manuscripts With the Highest Altmetric Attention Scores: A Meta-Research Study

Sivanesan, U., Wu, K., McInnes, M. D. F., Dhindsa, K., Salehi, F., & van der Pol, C. B. (2023) · Canadian Association of Radiologists Journal

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 19

Cross-Sectional Evaluation of Open Science Practices at Imaging Journals: A Meta-Research Study

Kashif Al-Ghita, M., Cobey, K., Moher, D., Leeflang, M. M. G., Ebrahimzadeh, S., Lam, E., Rooprai, P., Khalil, A. A., Islam, N., Algodi, H., et al. (2024) · Canadian Association of Radiologists Journal

Academic Publishing and Open AccessResearch Data Management Practices

Cited by 8