Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation
William Klement, Khaled El Emam
Journal of Medical Internet Research (2023) Vol. 25, pp. e48763-e48763
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 174
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Yue Cai, Yuqing Cai, Liying Tang, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 25
Self-reported checklists and quality scoring tools in radiomics: a meta-research
Burak Koçak, Tugba Akinci D’Antonoli, Ece Ateş, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5028-5040
Closed Access | Times Cited: 13
Development and Validation of a Deep Learning Algorithm for Differentiation of Choroidal Nevi from Small Melanoma in Fundus Photographs
Shiva Sabazade, Marco A. Lumia Michalski, Jakub Bartoszek, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 1, pp. 100613-100613
Open Access | Times Cited: 7
Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals?
Burak Koçak, Ali Keleş, Fadime Köse
Diagnostic and Interventional Radiology (2024)
Open Access | Times Cited: 5
Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders
Mark L. Norris, Nicole Obeid, Khaled El Emam
International Journal of Eating Disorders (2024) Vol. 57, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 4
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)
Khaled El Emam, Tiffany I. Leung, Bradley Malin, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e52508-e52508
Open Access | Times Cited: 4
Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study
Xiaomeng Yang, Zeyan Li, Lei Lei, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e67256-e67256
Open Access
EHR-based prediction modelling meets multimodal deep learning: A systematic review of structured and textual data fusion methods
Ariel Soares Teles, Ivan Rodrigues de Moura, Francisco Silva, et al.
Information Fusion (2025), pp. 102981-102981
Closed Access
Evolving and Novel Applications of Artificial Intelligence in Cancer Imaging
Mustaqueem Pallumeera, Jonathan C. Giang, Rajanbir Singh, et al.
Cancers (2025) Vol. 17, Iss. 9, pp. 1510-1510
Open Access
Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions (Preprint)
Yuqing Cai, Da-Xin Gong, Li-Ying Tang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e47645-e47645
Open Access | Times Cited: 3
Artificial Intelligence in Sleep Medicine: The Dawn of a New Era
Ahmed S. BaHammam
Nature and Science of Sleep (2024) Vol. Volume 16, pp. 445-450
Open Access | Times Cited: 2
Evaluation of the Diagnostic Accuracy of GPT-4 in Five Thousand Rare Disease Cases
Justin Reese, Leonardo Chimirri, Yasemin Bridges, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Machine Learning and External Validation of the IDENTIFY Risk Calculator for Patients with Haematuria Referred to Secondary Care for Suspected Urinary Tract Cancer
Sinan Khadhouri, Artsiom Hramyka, Kevin Gallagher, et al.
European Urology Focus (2024)
Open Access | Times Cited: 1
Machine-learning based prediction for high health care utilizers using a multi-institution diabetes registry: model training and evaluation (Preprint)
Joshua Kuan Tan, Le Manh Quan, Nur Nasyitah Mohamed Salim, et al.
JMIR AI (2024) Vol. 3, pp. e58463-e58463
Open Access | Times Cited: 1
Common Critiques and Recommendations for Studies in Neurology Using Machine Learning Methods
Jaime Lynn Speiser, Wesley T. Kerr, Andreas Ziegler
Neurology (2024) Vol. 103, Iss. 7
Closed Access | Times Cited: 1
CLEAR guideline for radiomics: Early insights into current reporting practices endorsed by EuSoMII
Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione, et al.
European Journal of Radiology (2024) Vol. 181, pp. 111788-111788
Closed Access | Times Cited: 1
Development and Validation of a Deep Learning Algorithm for Differentiation of Choroidal Nevi from Small Melanoma in Fundus Photographs
Shiva Sabazade, Marco A. Lumia Michalski, Jakub Bartoszek, et al.
Research Square (Research Square) (2024)
Open Access
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS) (Preprint)
Khaled El Emam, Tiffany I. Leung, Bradley Malin, et al.
(2024)
Open Access
Development and application of a weighted change score to evaluate interventions for vasomotor symptoms in patients with breast cancer using regression trees: a cohort study
Katherine Cole, Sharon F. McGee, Mark Clemons, et al.
Breast Cancer Research and Treatment (2024) Vol. 207, Iss. 2, pp. 313-321
Open Access
Towards an early warning system for monitoring of cancer patients using hybrid interactive machine learning
Andreas Trojan, Emanuele Laurenzi, Stephan Jüngling, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access
Machine learning clinical decision support for interdisciplinary multimodal chronic musculoskeletal pain treatment: prospective pilot study of patient assessment and prognostic profile validation (Preprint)
Fredrick Zmudzki, Rob Smeets, Jan S Groenewegen, et al.
(2024)
Closed Access
Machine Learning in the Diagnosis, Management, and Care of Patients with Low Back Pain: A Scoping Review of the Literature and Future Directions
Andreas Seas, Tanner J. Zachem, Bruno Valan, et al.
The Spine Journal (2024)
Closed Access
Synergistic pairing of synthetic image generation with disease classification modeling permits rapid digital classification tool development
Lao‐Tzu Allan‐Blitz, Sithira Ambepitiya, Janitha Prathapa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Predicting Satisfaction with Chat-Counseling at a 24/7 Chat Hotline for the Youth: A Natural Language Processing Study (Preprint)
Silvan Hornstein, Ulrike Lueken, Richard Wundrack, et al.
JMIR AI (2024) Vol. 4, pp. e63701-e63701
Open Access
Page 1 - Next Page

Scroll to top