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:

Ethics of AI in Pathology
Chhavi Chauhan, Rama R. Gullapalli
American Journal Of Pathology (2021) Vol. 191, Iss. 10, pp. 1673-1683
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions
Adib Habbal, Mohamed Khalif Ali, Mustafa Ali Abuzaraida
Expert Systems with Applications (2023) Vol. 240, pp. 122442-122442
Closed Access | Times Cited: 160
Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 527-550
Open Access | Times Cited: 77
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
M. Álvaro Berbís, David S. McClintock, Andrey Bychkov, et al.
EBioMedicine (2023) Vol. 88, pp. 104427-104427
Open Access | Times Cited: 68
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc‐Huy Trinh, et al.
Journal of Pathology Informatics (2024), pp. 100357-100357
Open Access | Times Cited: 34
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 25
Harnessing artificial intelligence for prostate cancer management
Lingxuan Zhu, Jiahua Pan, Weiming Mou, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 4, pp. 101506-101506
Open Access | Times Cited: 22
Noninferiority of Artificial Intelligence–Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics
Niklas Abele, Katharina Tiemann, Till Krech, et al.
Modern Pathology (2023) Vol. 36, Iss. 3, pp. 100033-100033
Open Access | Times Cited: 26
Towards AI ethics-led sustainability frameworks and toolkits: Review and research agenda
Douglas J. Cumming, Saurabh Kumar, Neelam Rani, et al.
Journal of Sustainable Finance and Accounting (2024) Vol. 1, pp. 100003-100003
Open Access | Times Cited: 14
Implementation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice
David Y Zhang, Arsha Venkat, Hamdi Khasawneh, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 9, pp. 102111-102111
Closed Access | Times Cited: 14
Artificial intelligence applications in histopathology
Cagla Deniz Bahadir, Mohamed Omar, Jacob Rosenthal, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 2, pp. 93-108
Closed Access | Times Cited: 13
Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications
Swati Satturwar, Anil V. Parwani
Advances in Anatomic Pathology (2024) Vol. 31, Iss. 2, pp. 136-144
Closed Access | Times Cited: 10
Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives
Tibor Mezei, Melinda Kolcsár, András Joó, et al.
Journal of Imaging (2024) Vol. 10, Iss. 10, pp. 252-252
Open Access | Times Cited: 9
Artificial intelligence in digital pathology — time for a reality check
Arpit Aggarwal, Satvika Bharadwaj, Germán Corredor, et al.
Nature Reviews Clinical Oncology (2025)
Closed Access | Times Cited: 1
Artificial Intelligence in Pathology
Stanley Cohen, Richard M. Levenson, Liron Pantanowitz
American Journal Of Pathology (2021) Vol. 191, Iss. 10, pp. 1670-1672
Open Access | Times Cited: 43
Integrating artificial intelligence in pathology: a qualitative interview study of users' experiences and expectations
Jojanneke Drogt, Megan Milota, Shoko Vos, et al.
Modern Pathology (2022) Vol. 35, Iss. 11, pp. 1540-1550
Open Access | Times Cited: 34
Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
H Evans, David Snead
Histopathology (2023) Vol. 84, Iss. 2, pp. 279-287
Open Access | Times Cited: 21
The potential application of ChatGPT in gastrointestinal pathology
Yamin Ma
Gastroenterology & Endoscopy (2023) Vol. 1, Iss. 3, pp. 130-131
Open Access | Times Cited: 19
The slow-paced digital evolution of pathology: lights and shadows from a multifaceted board
Alessandro Caputo, Vincenzo L’Imperio, Francesco Merolla, et al.
Pathologica (2023) Vol. 115, Iss. 3, pp. 127-136
Open Access | Times Cited: 18
Unleashing the potential of AI for pathology: challenges and recommendations
Amina Asif, Kashif Rajpoot, Simon Graham, et al.
The Journal of Pathology (2023) Vol. 260, Iss. 5, pp. 564-577
Open Access | Times Cited: 18
Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
Liron Pantanowitz, Marilyn M. Bui, Chhavi Chauhan, et al.
Academic Pathology (2022) Vol. 9, Iss. 1, pp. 100026-100026
Open Access | Times Cited: 25
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology
Hongyan Gu, Yuan Liang, Yifan Xu, et al.
ACM Transactions on Computer-Human Interaction (2022) Vol. 30, Iss. 2, pp. 1-37
Open Access | Times Cited: 23
A Literature Review on Ethics for AI in Biomedical Research and Biobanking
Michaela Kargl, Markus Plass, Heimo Müller
Yearbook of Medical Informatics (2022) Vol. 31, Iss. 01, pp. 152-160
Open Access | Times Cited: 21
One label is all you need: Interpretable AI-enhanced histopathology for oncology
Thomas E. Tavolara, Ziyu Su, Metin N. Gürcan, et al.
Seminars in Cancer Biology (2023) Vol. 97, pp. 70-85
Closed Access | Times Cited: 11
Effectiveness and Cost-effectiveness of Artificial Intelligence–assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study
Xiaoyang Du, Shuang Hao, Henrik Olsson, et al.
European Urology Oncology (2024)
Open Access | Times Cited: 4
AI led ethical digital transformation: framework, research and managerial implications
Saurabh Kumar, Ridhi Arora, Neelam Rani, et al.
Journal of Information Communication and Ethics in Society (2021) Vol. 20, Iss. 2, pp. 229-256
Closed Access | Times Cited: 27
Page 1 - Next Page

Scroll to top