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:
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: 84
Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, et al.
Artificial Intelligence in Medicine (2022) Vol. 127, pp. 102285-102285
Open Access | Times Cited: 84
Showing 1-25 of 84 citing articles:
ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, et al.
Computers in Human Behavior Artificial Humans (2023) Vol. 2, Iss. 1, pp. 100027-100027
Open Access | Times Cited: 127
Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, et al.
Computers in Human Behavior Artificial Humans (2023) Vol. 2, Iss. 1, pp. 100027-100027
Open Access | Times Cited: 127
Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis
Francisco Maria Calisto, João Paulo Fernandes, Margarida Morais, et al.
(2023), pp. 1-20
Open Access | Times Cited: 40
Francisco Maria Calisto, João Paulo Fernandes, Margarida Morais, et al.
(2023), pp. 1-20
Open Access | Times Cited: 40
Modeling adoption of intelligent agents in medical imaging
Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento
International Journal of Human-Computer Studies (2022) Vol. 168, pp. 102922-102922
Closed Access | Times Cited: 64
Francisco Maria Calisto, Nuno Nunes, Jacinto C. Nascimento
International Journal of Human-Computer Studies (2022) Vol. 168, pp. 102922-102922
Closed Access | Times Cited: 64
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
David Hua, Neysa Petrina, Noel Young, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102698-102698
Open Access | Times Cited: 29
David Hua, Neysa Petrina, Noel Young, et al.
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102698-102698
Open Access | Times Cited: 29
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang, Olympia Walker, Kaci Nguyen, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-32
Open Access | Times Cited: 28
Angie Zhang, Olympia Walker, Kaci Nguyen, et al.
Proceedings of the ACM on Human-Computer Interaction (2023) Vol. 7, Iss. CSCW1, pp. 1-32
Open Access | Times Cited: 28
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review
Harishankar Vasudevanallur Subramanian, Casey Canfield, Daniel B. Shank
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102780-102780
Open Access | Times Cited: 11
Harishankar Vasudevanallur Subramanian, Casey Canfield, Daniel B. Shank
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102780-102780
Open Access | Times Cited: 11
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria Wetscherek, et al.
(2024), pp. 1-22
Open Access | Times Cited: 10
Nur Yildirim, Hannah Richardson, Maria Wetscherek, et al.
(2024), pp. 1-22
Open Access | Times Cited: 10
Quality of Interaction Between Clinicians and Artificial Intelligence Systems. A Systematic Review
Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100172-100172
Open Access | Times Cited: 9
Argyrios Perivolaris, Chris Adams-McGavin, Yasmine Madan, et al.
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100172-100172
Open Access | Times Cited: 9
Importance of Patient History in Artificial Intelligence–Assisted Medical Diagnosis: Comparison Study
Fumitoshi Fukuzawa, Yasutaka Yanagita, Daiki Yokokawa, et al.
JMIR Medical Education (2024) Vol. 10, pp. e52674-e52674
Open Access | Times Cited: 7
Fumitoshi Fukuzawa, Yasutaka Yanagita, Daiki Yokokawa, et al.
JMIR Medical Education (2024) Vol. 10, pp. e52674-e52674
Open Access | Times Cited: 7
Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows
Himanshu Verma, Jakub Mlynář, Roger Schaer, et al.
(2023), pp. 1-19
Open Access | Times Cited: 19
Himanshu Verma, Jakub Mlynář, Roger Schaer, et al.
(2023), pp. 1-19
Open Access | Times Cited: 19
Radiomics and artificial intelligence in breast imaging: a survey
Tianyu Zhang, Tao Tan, Riccardo Samperna, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 857-892
Closed Access | Times Cited: 19
Tianyu Zhang, Tao Tan, Riccardo Samperna, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 857-892
Closed Access | Times Cited: 19
Classification of Breast Cancer in Mri with Multimodal Fusion
Margarida Morais, Francisco Maria Calisto, Carlos Santiago, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 17
Margarida Morais, Francisco Maria Calisto, Carlos Santiago, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 17
Improving Automatic Melanoma Diagnosis Using Deep Learning-Based Segmentation of Irregular Networks
Anand K. Nambisan, Akanksha Maurya, Norsang Lama, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1259-1259
Open Access | Times Cited: 16
Anand K. Nambisan, Akanksha Maurya, Norsang Lama, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1259-1259
Open Access | Times Cited: 16
Weakly-Supervised Diagnosis and Detection of Breast Cancer Using Deep Multiple Instance Learning
Pedro Diogo, Margarida Morais, Francisco Maria Calisto, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Closed Access | Times Cited: 16
Pedro Diogo, Margarida Morais, Francisco Maria Calisto, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Closed Access | Times Cited: 16
AI Agents from Copilots to Coworkers: Historical Context, Challenges, Limitations, Implications, and Practical Guidelines
Kadhim Hayawi, Sakib Shahriar
(2024)
Open Access | Times Cited: 5
Kadhim Hayawi, Sakib Shahriar
(2024)
Open Access | Times Cited: 5
Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review
Catalina Gómez, Sue Min Cho, Shichang Ke, et al.
Frontiers in Computer Science (2025) Vol. 6
Open Access
Catalina Gómez, Sue Min Cho, Shichang Ke, et al.
Frontiers in Computer Science (2025) Vol. 6
Open Access
Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis
Katherine Ann Zellner, Aleksandra Sarcevic, Maja Barnouw, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 1, pp. 1-23
Closed Access
Katherine Ann Zellner, Aleksandra Sarcevic, Maja Barnouw, et al.
Proceedings of the ACM on Human-Computer Interaction (2025) Vol. 9, Iss. 1, pp. 1-23
Closed Access
Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors
Eric Prince, David M. Mirsky, Todd C. Hankinson, et al.
Frontiers in Radiology (2025) Vol. 4
Open Access
Eric Prince, David M. Mirsky, Todd C. Hankinson, et al.
Frontiers in Radiology (2025) Vol. 4
Open Access
Personalized explanations for clinician-AI interaction in breast imaging diagnosis by adapting communication to expertise levels
Francisco Maria Calisto, João Abrantes, Carlos Santiago, et al.
International Journal of Human-Computer Studies (2025), pp. 103444-103444
Open Access
Francisco Maria Calisto, João Abrantes, Carlos Santiago, et al.
International Journal of Human-Computer Studies (2025), pp. 103444-103444
Open Access
Deep Learning-Assisted Diagnostic System: Apices and Odontogenic Sinus Floor Level Analysis in Dental Panoramic Radiographs
Peiyi Wu, Y.C. Lin, Yu-Jen Chang, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 134-134
Open Access
Peiyi Wu, Y.C. Lin, Yu-Jen Chang, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 134-134
Open Access
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, et al.
ACM Transactions on Computer-Human Interaction (2025)
Open Access
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, et al.
ACM Transactions on Computer-Human Interaction (2025)
Open Access
Understanding behavioral intentions of UG and PG students in Tier II Indian cities toward AI-technology adoption in higher education: a mixed-methods approach using the SOR model
Prashant Dev Yadav, Vikas Madhukar, Ankit Dhamija, et al.
Cogent Social Sciences (2025) Vol. 11, Iss. 1
Open Access
Prashant Dev Yadav, Vikas Madhukar, Ankit Dhamija, et al.
Cogent Social Sciences (2025) Vol. 11, Iss. 1
Open Access
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System
Hongyan Gu, Chunxu Yang, Mohammad Haeri, et al.
(2023), pp. 1-19
Open Access | Times Cited: 15
Hongyan Gu, Chunxu Yang, Mohammad Haeri, et al.
(2023), pp. 1-19
Open Access | Times Cited: 15
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making
Federico Cabitza, Andrea Campagner, Riccardo Angius, et al.
(2023), pp. 1-20
Closed Access | Times Cited: 15
Federico Cabitza, Andrea Campagner, Riccardo Angius, et al.
(2023), pp. 1-20
Closed Access | Times Cited: 15
Empowering co-creation of services with artificial intelligence: an empirical analysis to examine adoption intention
Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana, et al.
Marketing Intelligence & Planning (2024) Vol. 42, Iss. 6, pp. 941-975
Closed Access | Times Cited: 4
Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana, et al.
Marketing Intelligence & Planning (2024) Vol. 42, Iss. 6, pp. 941-975
Closed Access | Times Cited: 4
