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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:

AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1274

Showing 1-25 of 1274 citing articles:

ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns
Malik Sallam
Healthcare (2023) Vol. 11, Iss. 6, pp. 887-887
Open Access | Times Cited: 1628
Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1184
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar, et al.
Nature Medicine (2022) Vol. 28, Iss. 9, pp. 1773-1784
Open Access | Times Cited: 514
The next generation of evidence-based medicine
Vivek Subbiah
Nature Medicine (2023) Vol. 29, Iss. 1, pp. 49-58
Open Access | Times Cited: 314
Self-supervised learning in medicine and healthcare
Rayan Krishnan, Pranav Rajpurkar, Eric J. Topol
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1346-1352
Closed Access | Times Cited: 274
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 230
Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift
Ashley M. Hopkins, Jessica M. Logan, Ganessan Kichenadasse, et al.
JNCI Cancer Spectrum (2023) Vol. 7, Iss. 2
Open Access | Times Cited: 191
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 189
The Utility of ChatGPT as an Example of Large Language Models in Healthcare Education, Research and Practice: Systematic Review on the Future Perspectives and Potential Limitations
Malik Sallam
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 177
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support
Ashish Sharma, Inna Wanyin Lin, Adam S. Miner, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 1, pp. 46-57
Closed Access | Times Cited: 160
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 128
Using machine learning for healthcare challenges and opportunities
Abdullah Alanazi
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100924-100924
Open Access | Times Cited: 127
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 743-755
Open Access | Times Cited: 105
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: 100
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: 95
Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots
Julia-Astrid Moldt, Teresa Festl‐Wietek, Amir Madany Mamlouk, et al.
Medical Education Online (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 92
Guidelines and evaluation of clinical explainable AI in medical image analysis
Weina Jin, Xiaoxiao Li, Mostafa Fatehi, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102684-102684
Open Access | Times Cited: 83
FDA-Approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An Updated Landscape
Geeta Joshi, Aditi Jain, Shalini Reddy Araveeti, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 498-498
Open Access | Times Cited: 82
Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence
Jesper Tveit, Harald Aurlien, Sergey M. Plis, et al.
JAMA Neurology (2023) Vol. 80, Iss. 8, pp. 805-805
Open Access | Times Cited: 80
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use
Simeng Zhu, Marissa Gilbert, Indrin J. Chetty, et al.
International Journal of Medical Informatics (2022) Vol. 165, pp. 104828-104828
Closed Access | Times Cited: 74
Using artificial intelligence to improve public health: a narrative review
David B. Olawade, Ojima J. Wada, Aanuoluwapo Clement David-Olawade, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 73
Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 71
Biomaterials as Implants in the Orthopedic Field for Regenerative Medicine: Metal versus Synthetic Polymers
Faisal Dakhelallah Al-Shalawi, Azmah Hanim Mohamed Ariff, Dong Won Jung, et al.
Polymers (2023) Vol. 15, Iss. 12, pp. 2601-2601
Open Access | Times Cited: 71
Where Medical Statistics Meets Artificial Intelligence
David J. Hunter, Christopher Holmes
New England Journal of Medicine (2023) Vol. 389, Iss. 13, pp. 1211-1219
Closed Access | Times Cited: 70
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 68
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