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OpenAlex Citation Counts

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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:

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit
Davy van de Sande, Michel E. van Genderen, Joost Huiskens, et al.
Intensive Care Medicine (2021) Vol. 47, Iss. 7, pp. 750-760
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Davy van de Sande, Michel E. van Genderen, Jim M. Smit, et al.
BMJ Health & Care Informatics (2022) Vol. 29, Iss. 1, pp. e100495-e100495
Open Access | Times Cited: 90
Peer review of GPT-4 technical report and systems card
Jack Gallifant, Amelia Fiske, Yulia A. Strekalova, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 1, pp. e0000417-e0000417
Open Access | Times Cited: 31
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: 23
Ventilator-associated pneumonia: pathobiological heterogeneity and diagnostic challenges
Fiona Howroyd, Cyril Chacko, Andrew MacDuff, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
Machine learning in perioperative medicine: a systematic review
Valentina Bellini, Marina Valente, Giorgia Bertorelli, et al.
Journal of Anesthesia Analgesia and Critical Care (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 43
Algor-ethics: charting the ethical path for AI in critical care
Jonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, et al.
Journal of Clinical Monitoring and Computing (2024) Vol. 38, Iss. 4, pp. 931-939
Open Access | Times Cited: 11
Artificial intelligence to advance acute and intensive care medicine
Laurens A. Biesheuvel, Dave A. Dongelmans, Paul Elbers
Current Opinion in Critical Care (2024) Vol. 30, Iss. 3, pp. 246-250
Open Access | Times Cited: 9
Minimizing bias when using artificial intelligence in critical care medicine
Benjamin L. Ranard, Soojin Park, Yugang Jia, et al.
Journal of Critical Care (2024) Vol. 82, pp. 154796-154796
Closed Access | Times Cited: 9
To warrant clinical adoption AI models require a multi-faceted implementation evaluation
Davy van de Sande, Eline Fung Fen Chung, Jacobien H. F. Oosterhoff, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency
Michel E. van Genderen, Davy van de Sande, Lotty Hooft, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 8
AI in neurocritical care: what to expect
J. Claude Hemphill, Geert Meyfroidt
Intensive Care Medicine (2025)
Closed Access | Times Cited: 1
Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias
Jack Gallifant, Joe Zhang, M.D.P. Arias Lopez, et al.
British Journal of Anaesthesia (2021) Vol. 128, Iss. 2, pp. 343-351
Open Access | Times Cited: 41
Artificial intelligence and anesthesia: a narrative review
Valentina Bellini, Emanuele Rafano Carnà, Michele Russo, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 9, pp. 528-528
Open Access | Times Cited: 36
Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias
Chiara Corti, Marisa Cobanaj, Federica Marian, et al.
Cancer Treatment Reviews (2022) Vol. 108, pp. 102410-102410
Closed Access | Times Cited: 34
Diagnostic stewardship for blood cultures in the emergency department: A multicenter validation and prospective evaluation of a machine learning prediction tool
Michiel Schinkel, Anneroos W. Boerman, Frank C. Bennis, et al.
EBioMedicine (2022) Vol. 82, pp. 104176-104176
Open Access | Times Cited: 33
Expectations for Artificial Intelligence (AI) in Psychiatry
Scott Monteith, Tasha Glenn, John Geddes, et al.
Current Psychiatry Reports (2022) Vol. 24, Iss. 11, pp. 709-721
Open Access | Times Cited: 30
The future of artificial intelligence in intensive care: moving from predictive to actionable AI
Jim M. Smit, Jesse H. Krijthe, Jasper van Bommel, et al.
Intensive Care Medicine (2023) Vol. 49, Iss. 9, pp. 1114-1116
Open Access | Times Cited: 19
Early prediction of ventilator-associated pneumonia with machine learning models: A systematic review and meta-analysis of prediction model performance✰
T. Frondelius, Irina Atkova, Jouko Miettunen, et al.
European Journal of Internal Medicine (2023)
Open Access | Times Cited: 19
Quantifying the impact of AI recommendations with explanations on prescription decision making
Myura Nagendran, Paul Festor, Matthieu Komorowski, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 18
Federated data access and federated learning: improved data sharing, AI model development, and learning in intensive care
Michel E. van Genderen, Maurizio Cecconi, Christian Jung
Intensive Care Medicine (2024) Vol. 50, Iss. 6, pp. 974-977
Open Access | Times Cited: 7
Lung Nodule Detectability of Artificial Intelligence-assisted CT Image Reading in Lung Cancer Screening
Yaping Zhang, Beibei Jiang, Lu Zhang, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2021) Vol. 18, Iss. 3, pp. 327-334
Open Access | Times Cited: 40
Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model
Anne de Hond, Ilse Kant, Mattia Fornasa, et al.
Critical Care Medicine (2022) Vol. 51, Iss. 2, pp. 291-300
Open Access | Times Cited: 23
Artificial intelligence in cancer diagnosis: Opportunities and challenges
Mohammed S. Alshuhri, Sada Ghalib Al‐Musawi, Ameen Abdulhasan Al-Alwany, et al.
Pathology - Research and Practice (2023) Vol. 253, pp. 154996-154996
Closed Access | Times Cited: 15
Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future
Kyung Ah Kim, Hakseung Kim, Eun Jin Ha, et al.
Journal of Korean Neurosurgical Society (2024) Vol. 67, Iss. 5, pp. 493-509
Open Access | Times Cited: 5
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