
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:
The three ghosts of medical AI: Can the black-box present deliver?
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, et al.
Artificial Intelligence in Medicine (2021) Vol. 124, pp. 102158-102158
Open Access | Times Cited: 142
Thomas P. Quinn, Stephan Jacobs, Manisha Senadeera, et al.
Artificial Intelligence in Medicine (2021) Vol. 124, pp. 102158-102158
Open Access | Times Cited: 142
Showing 1-25 of 142 citing articles:
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Guang Yang, Qinghao Ye, Jun Xia
Information Fusion (2021) Vol. 77, pp. 29-52
Open Access | Times Cited: 526
Guang Yang, Qinghao Ye, Jun Xia
Information Fusion (2021) Vol. 77, pp. 29-52
Open Access | Times Cited: 526
Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration
Dan J. Stein, Steven Shoptaw, Daniel Vigo, et al.
World Psychiatry (2022) Vol. 21, Iss. 3, pp. 393-414
Open Access | Times Cited: 173
Dan J. Stein, Steven Shoptaw, Daniel Vigo, et al.
World Psychiatry (2022) Vol. 21, Iss. 3, pp. 393-414
Open Access | Times Cited: 173
Artificial Intelligence Applications in Health Care Practice: Scoping Review
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 115
Malvika Sharma, Carl Savage, Monika Nair, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e40238-e40238
Open Access | Times Cited: 115
Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI
Hongyan Wang, WeiZhen Wu, Zhi Dou, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105173-105173
Closed Access | Times Cited: 97
Hongyan Wang, WeiZhen Wu, Zhi Dou, et al.
International Journal of Medical Informatics (2023) Vol. 177, pp. 105173-105173
Closed Access | Times Cited: 97
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, et al.
Artificial Intelligence in Medicine (2022) Vol. 127, pp. 102285-102285
Open Access | Times Cited: 88
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, et al.
Artificial Intelligence in Medicine (2022) Vol. 127, pp. 102285-102285
Open Access | Times Cited: 88
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1429-1442
Open Access | Times Cited: 86
Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 4, pp. 1429-1442
Open Access | Times Cited: 86
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare
Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102616-102616
Open Access | Times Cited: 65
Johannes Allgaier, Lena Mulansky, Rachel Lea Draelos, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102616-102616
Open Access | Times Cited: 65
Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review
John Marko, Ciprian Daniel Neagu, P. B. Anand
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
John Marko, Ciprian Daniel Neagu, P. B. Anand
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 2
The integration of AI in nursing: addressing current applications, challenges, and future directions
Qiang Wei, Shirui Pan, Xiaoyu Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access | Times Cited: 2
Qiang Wei, Shirui Pan, Xiaoyu Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access | Times Cited: 2
Explainable Artificial Intelligence (XAI) in Healthcare
Asha S Manek, Shruti Vashist, Geeta Tripathi, et al.
(2025), pp. 17-37
Closed Access | Times Cited: 2
Asha S Manek, Shruti Vashist, Geeta Tripathi, et al.
(2025), pp. 17-37
Closed Access | Times Cited: 2
Ethics of AI in Radiology: A Review of Ethical and Societal Implications
Melanie Goisauf, Mónica Cano Abadía
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 54
Melanie Goisauf, Mónica Cano Abadía
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 54
A Comprehensive Study of Explainable Artificial Intelligence in Healthcare
Aryan Mohanty, Sushruta Mishra
Studies in computational intelligence (2022), pp. 475-502
Closed Access | Times Cited: 50
Aryan Mohanty, Sushruta Mishra
Studies in computational intelligence (2022), pp. 475-502
Closed Access | Times Cited: 50
Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art
Maria Virvou
Intelligent Decision Technologies (2023) Vol. 17, Iss. 1, pp. 73-125
Open Access | Times Cited: 35
Maria Virvou
Intelligent Decision Technologies (2023) Vol. 17, Iss. 1, pp. 73-125
Open Access | Times Cited: 35
A descriptive study based on the comparison of ChatGPT and evidence-based neurosurgeons
Jiayu Liu, Jiqi Zheng, Xintian Cai, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107590-107590
Open Access | Times Cited: 34
Jiayu Liu, Jiqi Zheng, Xintian Cai, et al.
iScience (2023) Vol. 26, Iss. 9, pp. 107590-107590
Open Access | Times Cited: 34
Automated Artificial Intelligence Model Trained on a Large Data Set Can Detect Pancreas Cancer on Diagnostic Computed Tomography Scans As Well As Visually Occult Preinvasive Cancer on Prediagnostic Computed Tomography Scans
Panagiotis Korfiatis, Garima Suman, Nandakumar G. Patnam, et al.
Gastroenterology (2023) Vol. 165, Iss. 6, pp. 1533-1546.e4
Open Access | Times Cited: 29
Panagiotis Korfiatis, Garima Suman, Nandakumar G. Patnam, et al.
Gastroenterology (2023) Vol. 165, Iss. 6, pp. 1533-1546.e4
Open Access | Times Cited: 29
Fair and equitable AI in biomedical research and healthcare: Social science perspectives
Renate Baumgartner, Payal Arora, Corinna Bath, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102658-102658
Open Access | Times Cited: 26
Renate Baumgartner, Payal Arora, Corinna Bath, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102658-102658
Open Access | Times Cited: 26
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
Zhe Zhang, Xiawei Wei
Seminars in Cancer Biology (2023) Vol. 90, pp. 57-72
Closed Access | Times Cited: 25
Zhe Zhang, Xiawei Wei
Seminars in Cancer Biology (2023) Vol. 90, pp. 57-72
Closed Access | Times Cited: 25
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 16
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 16
Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 11
Ruth Evans, Louise Bryant, Gregor Russell, et al.
International Journal of Medical Informatics (2024) Vol. 183, pp. 105342-105342
Open Access | Times Cited: 11
Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets
Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 11
Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 11
Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes
Riccardo Cau, Francesco Pisu, Jasjit S. Suri, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 156-156
Open Access | Times Cited: 10
Riccardo Cau, Francesco Pisu, Jasjit S. Suri, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 156-156
Open Access | Times Cited: 10
A quantitatively interpretable model for Alzheimer’s disease prediction using deep counterfactuals
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, et al.
NeuroImage (2025), pp. 121077-121077
Open Access | Times Cited: 1
Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, et al.
NeuroImage (2025), pp. 121077-121077
Open Access | Times Cited: 1
Trustworthy Artificial Intelligence in Medical Imaging
Navid Hasani, Michael Morris, Arman Rahmim, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 1-12
Open Access | Times Cited: 55
Navid Hasani, Michael Morris, Arman Rahmim, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 1-12
Open Access | Times Cited: 55
Exploring the drivers of XAI-enhanced clinical decision support systems adoption: Insights from a stimulus-organism-response perspective
Mohammad Dalvi‐Esfahani, Mehdi Mosharaf‐Dehkordi, Wai Yie Leong, et al.
Technological Forecasting and Social Change (2023) Vol. 195, pp. 122768-122768
Closed Access | Times Cited: 21
Mohammad Dalvi‐Esfahani, Mehdi Mosharaf‐Dehkordi, Wai Yie Leong, et al.
Technological Forecasting and Social Change (2023) Vol. 195, pp. 122768-122768
Closed Access | Times Cited: 21
Assessing Biological Age
Francisco López-Jiménez, Suraj Kapa, Paul A. Friedman, et al.
JACC. Clinical electrophysiology (2024) Vol. 10, Iss. 4, pp. 775-789
Open Access | Times Cited: 7
Francisco López-Jiménez, Suraj Kapa, Paul A. Friedman, et al.
JACC. Clinical electrophysiology (2024) Vol. 10, Iss. 4, pp. 775-789
Open Access | Times Cited: 7