
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:
Evaluating large language models for use in healthcare: A framework for translational value assessment
Sandeep Reddy
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101304-101304
Open Access | Times Cited: 44
Sandeep Reddy
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101304-101304
Open Access | Times Cited: 44
Showing 1-25 of 44 citing articles:
Generative AI in healthcare: an implementation science informed translational path on application, integration and governance
Sandeep Reddy
Implementation Science (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 102
Sandeep Reddy
Implementation Science (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 102
Large Language Models in Healthcare and Medical Domain: A Review
Zabir Al Nazi, Wei Peng
Informatics (2024) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 51
Zabir Al Nazi, Wei Peng
Informatics (2024) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 51
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 46
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 46
Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks
Kerstin Denecke, Richard May, Octavio Rivera-Romero
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 20
Kerstin Denecke, Richard May, Octavio Rivera-Romero
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 20
Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14
An analysis of large language models: their impact and potential applications
Mohan Gurusamy, R. Prasanna Kumar, P. Vishal Krishh, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 9, pp. 5047-5070
Closed Access | Times Cited: 13
Mohan Gurusamy, R. Prasanna Kumar, P. Vishal Krishh, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 9, pp. 5047-5070
Closed Access | Times Cited: 13
Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities
Mertcan Sevgi, Fares Antaki, Pearse A. Keane
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1354-1361
Open Access | Times Cited: 11
Mertcan Sevgi, Fares Antaki, Pearse A. Keane
British Journal of Ophthalmology (2024) Vol. 108, Iss. 10, pp. 1354-1361
Open Access | Times Cited: 11
Medical Ethics of Large Language Models in Medicine
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa, et al.
NEJM AI (2024) Vol. 1, Iss. 7
Closed Access | Times Cited: 11
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa, et al.
NEJM AI (2024) Vol. 1, Iss. 7
Closed Access | Times Cited: 11
Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations
Mohd Javaid, Abid Haleem, Ravi Pratap Singh
Informatics and Health (2024) Vol. 1, Iss. 2, pp. 123-148
Open Access | Times Cited: 10
Mohd Javaid, Abid Haleem, Ravi Pratap Singh
Informatics and Health (2024) Vol. 1, Iss. 2, pp. 123-148
Open Access | Times Cited: 10
Large language models in medical and healthcare fields: applications, advances, and challenges
Dandan Wang, Shiqing Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 10
Dandan Wang, Shiqing Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 10
Designing Incremental Knowledge Enrichment in Generative Pre-trained Transformers
Emilia A. Kowalczyk, Mateusz Nowakowski, Z Brzezińska
Research Square (Research Square) (2024)
Open Access | Times Cited: 7
Emilia A. Kowalczyk, Mateusz Nowakowski, Z Brzezińska
Research Square (Research Square) (2024)
Open Access | Times Cited: 7
Assessing GPT-4’s Performance in Delivering Medical Advice: Comparative Analysis With Human Experts
Eunbeen Jo, Sanghoun Song, Jong-Ho Kim, et al.
JMIR Medical Education (2024) Vol. 10, pp. e51282-e51282
Open Access | Times Cited: 7
Eunbeen Jo, Sanghoun Song, Jong-Ho Kim, et al.
JMIR Medical Education (2024) Vol. 10, pp. e51282-e51282
Open Access | Times Cited: 7
The new paradigm in machine learning – foundation models, large language models and beyond: a primer for physicians
Ian Scott, Guido Zuccon
Internal Medicine Journal (2024) Vol. 54, Iss. 5, pp. 705-715
Open Access | Times Cited: 5
Ian Scott, Guido Zuccon
Internal Medicine Journal (2024) Vol. 54, Iss. 5, pp. 705-715
Open Access | Times Cited: 5
Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians’ Evaluation of Large Language Models for Smoking Cessation Interventions
Paul P. Calle, Ruosi Shao, Yunlong Liu, et al.
(2024), pp. 1-16
Open Access | Times Cited: 5
Paul P. Calle, Ruosi Shao, Yunlong Liu, et al.
(2024), pp. 1-16
Open Access | Times Cited: 5
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
Huizi Yu, Lizhou Fan, Lingyao Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 4, pp. 658-711
Closed Access | Times Cited: 5
Huizi Yu, Lizhou Fan, Lingyao Li, et al.
Journal of Healthcare Informatics Research (2024) Vol. 8, Iss. 4, pp. 658-711
Closed Access | Times Cited: 5
Generative Artificial Intelligence-Based Medical Entity Data Extractor Using Large Language Models
Mohammed-Khalil Ghali, Abdelrahman Farrag, Hajar Sakai, et al.
(2025)
Closed Access
Mohammed-Khalil Ghali, Abdelrahman Farrag, Hajar Sakai, et al.
(2025)
Closed Access
Deductively coding psychosocial autopsy interview data using a few-shot learning large language model
Elias Balt, Salim Salmi, Sandjai Bhulai, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Elias Balt, Salim Salmi, Sandjai Bhulai, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship
Daniele Roberto Giacobbe, Cristina Marelli, Byomkesh Manna, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access
Daniele Roberto Giacobbe, Cristina Marelli, Byomkesh Manna, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access
Can large language models assist with pediatric dosing accuracy?
Chedva Levin, Brurya Orkaby, E. Kerner, et al.
Pediatric Research (2025)
Open Access
Chedva Levin, Brurya Orkaby, E. Kerner, et al.
Pediatric Research (2025)
Open Access
Navigating the integration of large language models in healthcare: challenges, opportunities, and implications under the EU AI Act
Elena Bignami, Michele Russo, Roberto Lanza, et al.
Journal of Anesthesia Analgesia and Critical Care (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Elena Bignami, Michele Russo, Roberto Lanza, et al.
Journal of Anesthesia Analgesia and Critical Care (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
FROM TEXT TO DIAGNOSE: CHATGPT’S EFFICACY IN MEDICAL DECISION-MAKING
Yaroslav O Mykhalko, Pavlo P Kish, Yelyzaveta І. Rubtsova, et al.
Wiadomości Lekarskie (2023) Vol. 76, Iss. 11, pp. 2345-2350
Closed Access | Times Cited: 7
Yaroslav O Mykhalko, Pavlo P Kish, Yelyzaveta І. Rubtsova, et al.
Wiadomości Lekarskie (2023) Vol. 76, Iss. 11, pp. 2345-2350
Closed Access | Times Cited: 7
Addressing Data Scarcity in the Medical Domain: A GPT-Based Approach for Synthetic Data Generation and Feature Extraction
Fahim Sufi
Information (2024) Vol. 15, Iss. 5, pp. 264-264
Open Access | Times Cited: 2
Fahim Sufi
Information (2024) Vol. 15, Iss. 5, pp. 264-264
Open Access | Times Cited: 2
Prompt engineering on leveraging large language models in generating response to InBasket messages
Sherry Yan, Wendi Knapp, Andrew Leong, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2263-2270
Open Access | Times Cited: 2
Sherry Yan, Wendi Knapp, Andrew Leong, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 10, pp. 2263-2270
Open Access | Times Cited: 2
Comparison and Accuracy of Prospective Assessments of Four Large Language Model Chatbot Responses to Patient Questions about Emergency Care (Preprint)
J. Yau, Soheil Saadat, Edmund Hsu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60291-e60291
Open Access | Times Cited: 2
J. Yau, Soheil Saadat, Edmund Hsu, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e60291-e60291
Open Access | Times Cited: 2
Analyzing evaluation methods for large language models in the medical field: a scoping review
Junbok Lee, Sungkyung Park, Jaeyong Shin, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Junbok Lee, Sungkyung Park, Jaeyong Shin, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2