The DOI matches its Crossref record.
ChatGPT: friend or foe?
Open accessAbstract
You would have been hard-pressed to miss the storm surrounding ChatGPT (Chat Generative Pre-trained Transformer) over the past few months. News outlets and social media have been abuzz with reports on the chatbot developed by OpenAI. In response to a written prompt, ChatGPT can compose emails, write computer code, and even craft movie scripts. Researchers have also demonstrated its competency to pass medical licensing exams. But excitement has been matched by a swathe of ethical concerns that could—and perhaps should—limit its adoption
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The moderate level of concern about potential negative impacts, as highlighted in our study, underscores the need for further exploration of the challenges associated with ChatGPT's implementation in healthcare and education settings [30].”
From Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study (2025) · cites this paper as [30]
Experimental — accuracy not yet measuredIn the citing paper
“Advanced AI tools like ChatGPT are also poised to significantly impact the healthcare sector (Ali et al., 2023;Patel et al., 2023;Sallam, 2023).”
From Navigating the perils of artificial intelligence: a focused review on ChatGPT and responsible research and innovation (2024) · cites this paper as Patel et al., 2023
In the citing paper
“Furthermore, as the output of ChatGPT can be used to train future iterations of the model, any bias present in the data may persist without human intervention [5].”
From Ethical Considerations of Using ChatGPT in Health Care (2023) · cites this paper as [5]
In the citing paper
“Already ChatGPT, variant of the third GPT generation, has been trained to understand and generate language for conversation with users [12,13,14].”
From Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge (2023) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Items 101–200 of 262
Elevating scientific writing with ChatGPT: A guide for reviewers, editors… and authors
Rozencwajg, S., & Kantor, E. (2023) · Anaesthesia Critical Care & Pain Medicine · doi:10.1016/j.accpm.2023.101209 · Cited by 27
Vaid, A., Duong, S. Q., Lampert, J., Kovatch, P., Freeman, R., Argulian, E., Croft, L. B., Lerakis, S., Goldman, M. E., Khera, R., et al. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae085 · Cited by 26
ChatGPT and Artificial Intelligence in Transplantation Research: Is It Always Correct?
Rawashdeh, B., Kim, J., AlRyalat, S. A., Prasad, R., & COOPER, M. M. (2023) · Cureus · doi:10.7759/cureus.42150 · Cited by 26
Aljamaan, F., Malki, K. H., Alhasan, K. A., Jamal, A. A., Altamimi, I., Khayat, A., Alhaboob, A. A. N., Abdulmajeed, N., Alshahrani, F. S., Saad, K., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e28962 · Cited by 25
Embracing the future of physician-patient communication: GPT-4 in gastroenterology
Nashwan, A. J., Abujaber, A. A., & Choudry, H. (2023) · Gastroenterology & Endoscopy · doi:10.1016/j.gande.2023.07.004 · Cited by 23
Mukherjee, S., Durkin, C., PeBenito, A. M., Ferrante, N. D., Umana, I. C., & Kochman, M. L. (2023) · Gastro Hep Advances · doi:10.1016/j.gastha.2023.07.008 · Cited by 23
Iqbal, U., Lee, L. T., Rahmanti, A. R., Celi, L. A., & Li, Y. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae067 · Cited by 23
Kaya, K., Gietzen, C., Hahnfeldt, R., Zoubi, M. S. A., Emrich, T., Halfmann, M. C., Sieren, M. M., Elser, Y., Krumm, P., Brendel, J. M., et al. (2024) · Journal of Cardiovascular Magnetic Resonance · doi:10.1016/j.jocmr.2024.101068 · Cited by 23
Artificial intelligence in oncology: chances and pitfalls
Kather, J. N. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-04666-6 · Cited by 22
Chatterjee, S., Bhattacharya, M., Lee, S., & Chakraborty, C. (2023) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2023.06.019 · Cited by 21
Yin, S., Huang, S., Xue, P., Xu, Z., Lian, Z., Ye, C., Ma, S., Liu, M., Hu, Y., Lu, P., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-03899-1 · Cited by 21
Large Language Models in Critical Care Medicine: Scoping Review
Shi, T., Ma, J., Yu, Z., Xu, H., Yang, R., Xiong, M., Xiao, M., Li, Y., Zhao, H., & Kong, G. (2025) · JMIR Medical Informatics · doi:10.2196/76326 · Cited by 21
Hu, Y., Hu, Z., Liu, W., Gao, A., Wen, S., Liu, S., & Lin, Z. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02445-y · Cited by 21
Lim, B., Seth, I., Xie, Y., Kenney, P. S., Cuomo, R., & Rozen, W. M. (2024) · Aesthetic Plastic Surgery · doi:10.1007/s00266-024-03952-z · Cited by 22
Lorenzoni, G., Gregori, D., Bressan, S., Ocagli, H., Azzolina, D., Dalt, L. D., & Berchialla, P. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.13208 · Cited by 21
Rupp, M., Moser, L. B., Hess, S., Angele, P., Aurich, M. E., Dyrna, F. G. E., Nehrer, S., Neubauer, M., Pawelczyk, J., Izadpanah, K., et al. (2024) · Journal of Experimental Orthopaedics · doi:10.1002/jeo2.12080 · Cited by 28
ChatGPT from radiologists’ perspective
Şendur, H. N., Şendur, A. B., & Cerit, M. N. (2023) · British Journal of Radiology · doi:10.1259/bjr.20230203 · Cited by 21
Yapay Zekânın Edebiyatta Kullanım Serüveni
AKÇA, N. C., Cobutoğlu, S. A., Özbek, Ö. Y., & Akça, M. F. (2024) · RumeliDE Dil ve Edebiyat Araştırmaları Dergisi :/RumeliDe Dil ve Edebiyat Araştırmaları Dergisi · doi:10.29000/rumelide.1470139 · Cited by 21
Ben-Haim, G., Saban, M., Barash, Y., Cirulnik, D., Shaham, A., Eisenman, B., Burshtein, L., Mymon, O., & Klang, E. (2024) · Journal of Clinical Nursing · doi:10.1111/jocn.17490 · Cited by 24
Chat generative pre-trained transformer (ChatGPT): potential implications for rheumatology practice
Nune, A., Iyengar, K. P., Manzo, C., Barman, B., & Botchu, R. (2023) · Rheumatology International · doi:10.1007/s00296-023-05340-3 · Cited by 20
Can ChatGPT explain it? Use of artificial intelligence in multiple sclerosis communication
Inojosa, H., Gilbert, S., Kather, J. N., Proschmann, U., Akgün, K., & Ziemssen, T. (2023) · Neurological Research and Practice · doi:10.1186/s42466-023-00270-8 · Cited by 22
Sawamura, S., Bito, T., Ando, T., Masuda, K., Kameyama, S., & Ishida, H. (2024) · Journal of Physical Therapy Science · doi:10.1589/jpts.36.234 · Cited by 20
Leveraging Generative AI for Drug Safety and Pharmacovigilance
Mishra, H. P., & Gupta, R. (2024) · Current Clinical Pharmacology · doi:10.2174/0127724328311400240823062829 · Cited by 20
Assessment of Artificial Intelligence Performance on the Otolaryngology Residency In‐Service Exam
Mahajan, A., Shabet, C., Smith, J. D., Rudy, S. F., Kupfer, R. A., & Bohm, L. A. (2023) · OTO Open · doi:10.1002/oto2.98 · Cited by 19
Kottlors, J., Hahnfeldt, R., Goertz, L., Iuga, A.-I., Fervers, P., Bremm, J., Zopfs, D., Laukamp, K. R., Onur, O. A., Lennartz, S., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/48328 · Cited by 20
Sholeh, M., Rusydiyah, E. F., & Bakar, M. Y. A. (2024) · AL-ISHLAH Jurnal Pendidikan · doi:10.35445/alishlah.v16i2.5409 · Cited by 18
Based on Medicine, The Now and Future of Large Language Models
Su, Z., Tang, G., Huang, R., Yang, Q. W., Zhang, Z., & Dai, X. (2024) · Cellular and Molecular Bioengineering · doi:10.1007/s12195-024-00820-3 · Cited by 18
Comparing human and artificial intelligence in writing for health journals: an exploratory studyPreprint
Haq, Z. U., Naeem, H., Naeem, A., Iqbal, F., & Zaeem, D. (2023) · medRxiv · doi:10.1101/2023.02.22.23286322 · Cited by 18
Aubignat, M., & Diab, E. (2023) · Revue Neurologique · doi:10.1016/j.neurol.2023.03.004 · Cited by 20
Fettiplace, M. R., Bhatia, A., Chen, Y., Orebaugh, S. L., Gofeld, M., Gabriel, R. A., Sessler, D. I., Lonsdale, H., Bungart, B. L., Cheng, C., et al. (2025) · Regional Anesthesia & Pain Medicine · doi:10.1136/rapm-2025-106852 · Cited by 19
Lent, H., Ortner, V. K., Karmisholt, K. E., Wiegell, S. R., Nissen, C., Omland, S. H., Kamstrup, M. R., Togsverd‐Bo, K., & Hædersdal, M. (2023) · JEADV Clinical Practice · doi:10.1002/jvc2.263 · Cited by 17
El impacto de ChatGPT en la formación y producción académica: que no cunda el pánico
Sánchez, O. Z. (2024) · RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo · doi:10.23913/ride.v14i28.1867 · Cited by 17
Ratnam, K. K. Y. (2025) · Digital Health · doi:10.1177/20552076251362070 · Cited by 16
ChatGPT: The Curious Case of Attack Vectors' Supply Chain Management Improvement
Chowdhury, M., Rifat, N., Latif, S., Ahsan, M., Rahman, M. S., & Gomes, R. (2023) · IEEE International Conference on Electro Information Technology · doi:10.1109/eit57321.2023.10187385 · Cited by 16
Artificial intelligence in pharmacy: A guide for clinicians
Smoke, S. M. (2024) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxae051 · Cited by 16
Ishida, K., & Hanada, E. (2024) · Cureus · doi:10.7759/cureus.66324 · Cited by 16
Seth, I., Bulloch, G., & Lee, C. H. A. (2023) · Annals of Surgical Oncology · doi:10.1245/s10434-023-13642-w · Cited by 15
Guest, P. C., Vasilevska, V., Al-Hamadi, A. K., Eder, J., Falkai, P., & Steiner, J. H. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1227426 · Cited by 18
Pedro, T., Sousa, J. M., Fonseca, L., Gama, M. G., Moreira, G., Pintalhão, M., Castro‐Chaves, P., Aires, A., Alves, G., Augusto, L., et al. (2024) · Journal of NeuroInterventional Surgery · doi:10.1136/jnis-2024-021556 · Cited by 15
D’Anna, G., Cauter, S. V., Thurnher, M. M., Goethem, J. W. V., & Haller, S. (2024) · Neuroradiology · doi:10.1007/s00234-024-03371-6 · Cited by 15
Ong, J., Hariprasad, S. M., & Chhablani, J. K. (2023) · Ophthalmic surgery, lasers & imaging retina · doi:10.3928/23258160-20230926-01 · Cited by 14
Kröplin, J., Maier, L., Lenz, J., & Romeike, B. F. M. (2024) · JMIR Medical Education · doi:10.2196/51389 · Cited by 14
Desafios do uso da inteligência artificial nos diagnósticos de saúde: uma revisão integrativa
da Silva, G. G., Paixão, H., & Rodrigues, M. L. D. A. (2024) · CADERNOS IBERO-AMERICANOS DE DIREITO SANITÁRIO · doi:10.17566/ciads.v13i2.1241 · Cited by 14
Yin, S., & Chapelle, C. A. (2025) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2025.100227 · Cited by 15
Haeger, C., Lech, S., Messer, M., & Gellert, P. R. (2023) · European Journal of Public Health · doi:10.1093/eurpub/ckad070 · Cited by 13
New evidence-based practice: Artificial intelligence as a barrier breaker
Ferreira, R. M. (2023) · World Journal of Methodology · doi:10.5662/wjm.v13.i5.384 · Cited by 14
Anghelescu, A., Ciobanu, I., Munteanu, C., Anghelescu, L. A.-M., & Onose, G. (2023) · Balneo and PRM Research Journal · doi:10.12680/balneo.2023.614 · Cited by 16
Blanco-Ruíz, M., Lameiras, A. A., & Atauri-Mezquida, D. (2024) · FIIB Business Review · doi:10.1177/23197145241281033 · Cited by 15
Li, J., Gao, X., Dou, T., Gao, Y., Xu, L., & Zhu, W. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-082344 · Cited by 13
Uçar, S. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.101394 · Cited by 18
Saad, O., Saban, M., Kerner, E., & Levin, C. (2025) · Journal of Primary Care & Community Health · doi:10.1177/21501319251326663 · Cited by 14
Evaluating Artificial Intelligence-Based Writing Assistance Among Published Orthopaedic Studies
Callanan, T. C., Marquez, J., Pisani, C., Schmitt, P. R., Pietro, J., Chen, M., Milner, J., Daher, M., Katz, L., Liu, J., et al. (2025) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.24.01462 · Cited by 13
Will ChatGPT Drive Radiology in the Future?
Botchu, R., & Iyengar, K. P. (2023) · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · doi:10.1055/s-0043-1769591 · Cited by 13
Duygusal Yalnızlığa Bir Çözüm Olarak Chatgpt: Kişilerarası İletişimin Yeni Aracı
SARIOĞLU, E. B., & GÜREGEN, E. P. (2024) · Türkiye İletişim Araştırmaları Dergisi · doi:10.17829/turcom.1360418 · Cited by 13
Rosselló-Jiménez, D., Sierra, S. D., Collado, Y., Cuadra-Llopart, L., Riba, F., & Llonch-Masriera, M. (2024) · European Geriatric Medicine · doi:10.1007/s41999-024-00970-7 · Cited by 12
Montagna, M., Chiabrando, F., LORENZO, R. D., & Rovere, P. Q. (2024) · JMIR Medical Education · doi:10.2196/55709 · Cited by 14
Valenzuela, G. U. (2023) · Cuadernos Médico Sociales · doi:10.56116/cms.v63.n1.2023.1140 · Cited by 12
ChatGPT and its use in paediatric dentistry
Maltarollo, T. F. H., Shitsuka, C., & Sivieri‐Araújo, G. (2023) · European Archives of Paediatric Dentistry · doi:10.1007/s40368-023-00838-7 · Cited by 12
Elzerman, G. H. (2025) · doi:10.1109/icaie64856.2025.11158185 · Cited by 11
Concordance of ChatGPT With American Burn Association Guidelines on Acute Burns
Pandya, S., Bonetti, M. A., Liu, H. Y., Jeong, T., Ziembicki, J. A., & Egro, F. M. (2024) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000004128 · Cited by 11
Terzis, R., Kaya, K., Schömig, T., Janßen, J. P., Iuga, A.-I., Kottlors, J., Lennartz, S., Gietzen, C., Gözdas, C., Müller, L., et al. (2025) · European Radiology · doi:10.1007/s00330-025-11888-4 · Cited by 11
Accuracy of a Large Language Model as a new tool for optometry education
Cardona, G., Argilés, M., & Pérez-Mañá, L. (2023) · Clinical and Experimental Optometry · doi:10.1080/08164622.2023.2288174 · Cited by 11
Wang, T., Chen, R., Wang, B., Zou, C., Fan, N., Yuan, S., Wang, A., Xi, Y., & Zang, L. (2025) · Journal of Medical Internet Research · doi:10.2196/75567 · Cited by 10
Should my recommendation letter be written by artificial intelligence?
Mansour, J., Burman, M. L., Bernstein, M., Sandman, É., Yammine, K., Daher, M., & Martineau, P. A. (2024) · Canadian Journal of Surgery · doi:10.1503/cjs.009623 · Cited by 10
Botelho, F. M. N., Tshimula, J. M., & Poenaru, D. (2023) · World Journal of Surgery · doi:10.1007/s00268-023-07167-2 · Cited by 10
Zhang, H., Qiao, Z., Wang, H., Duan, B., & Yin, J. (2024) · Multimedia Systems · doi:10.1007/s00530-024-01467-w · Cited by 9
Malik, S. (2024) · Annals of Gastroenterology · doi:10.20524/aog.2024.0907 · Cited by 9
Comparing Psychometric Properties of Expert-Developed and AI-Generated Personality Scales
Oeljeklaus, L., Höft, S., & Danner, D. (2025) · Psychological Test Adaptation and Development · doi:10.1027/2698-1866/a000095 · Cited by 8
Computer Science meets Vascular Surgery: Keeping a pulse on artificial intelligence
Thaxton, C. T., & Dardik, A. (2023) · Seminars in Vascular Surgery · doi:10.1053/j.semvascsurg.2023.05.003 · Cited by 8
Becerik, Ç., Yıldız, S., Karaca, Ç. T., & Toros, S. Z. (2025) · Clinical Otolaryngology · doi:10.1111/coa.14273 · Cited by 7
The effects of ChatGPT on patient education of knee osteoarthritis: a preliminary study of 60 cases
Yang, Y., Lin, J., & Zhang, J. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000002494 · Cited by 7
Cuéllar‐Barboza, A., Brussolo‐Marroquín, E., Martínez, F. C. C., Aguilar-Calderón, P., Vázquez‐Martínez, O., & Ocampo‐Candiani, J. (2024) · Clinical and Experimental Dermatology · doi:10.1093/ced/llae184 · Cited by 7
Let's Look on the Bright Side of ChatGPT
Yoo, J. (2023) · Journal of Korean Medical Science · doi:10.3346/jkms.2023.38.e231 · Cited by 8
(How) ChatGPT—Artificial Intelligence Thinks It Can Help/Harm Physiatry
Jačiško, J., Veselý, V., Chang, K. C., & Özçakar, L. (2023) · American Journal of Physical Medicine & Rehabilitation · doi:10.1097/phm.0000000000002370 · Cited by 7
Optimizing Communication of Radiation Exposure in Medical Imaging, the Radiologist Challenge
Pozzessere, C. (2023) · Tomography · doi:10.3390/tomography9020057 · Cited by 6
Perspective: Artificial intelligence and patient communication
Tse, G., Kuzma, N. C., & Khan, A. (2024) · Journal of Hospital Medicine · doi:10.1002/jhm.13301 · Cited by 6
Agarwal, A., & Stoff, B. K. (2023) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2023.04.030 · Cited by 6
Is the field of endodontics prepared to utilise ChatGPT ?
Maltarollo, T. F. H., Strazzi‐Sahyon, H. B., Amaral, R. R., & Sivieri‐Araújo, G. (2023) · Australian Endodontic Journal · doi:10.1111/aej.12821 · Cited by 6
Meng, J., Zhang, Z., Tang, H., Xiao, Y., Liu, P., Gao, S., & He, M. (2024) · Medicine · doi:10.1097/md.0000000000037458 · Cited by 5
Utilization of ChatGPT for Rhinology Patient Education: Limitations in a Surgical Sub‐Specialty
Huang, A. E., Chang, M. T., Khanwalkar, A. R., Yan, C. H., Phillips, K. M., Yong, M., Nayak, J. V., Hwang, P. H., & Patel, Z. M. (2025) · OTO Open · doi:10.1002/oto2.70065 · Cited by 5
Evaluating multimodal ChatGPT for emergency decision-making of ocular trauma cases
Xue, J., Wang, Z., Chen, N., Wu, Y., Shen, Z., Shao, Y., Zhou, H., & Li, Z. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1564054 · Cited by 5
Stop citing ChatGPT and other LLMs as academic references
Giray, L. (2025) · Public & Access Services Quarterly · doi:10.1080/15228959.2025.2510922 · Cited by 5
Artificial intelligence in medical writing and in scientific papers
Gutiérrez, R. F.-S. (2023) · Angiología · doi:10.20960/angiologia.00512 · Cited by 5
Agrawal, A., Kickbusch, I., Medhora, R., Ndili, N., & Holly, L. (2023) · The Lancet · doi:10.1016/s0140-6736(23)02041-x · Cited by 5
Evaluating artificial intelligence responses to respiratory medicine questions
Luo, H., Yan, J., & Zhou, X. (2024) · Respirology · doi:10.1111/resp.14733 · Cited by 5
Comparative Evaluation of Chatbot Responses on Coronary Artery Disease
Pay, L. (2025) · Turk Kardiyoloji Dernegi Arsivi-Archives of the Turkish Society of Cardiology · doi:10.5543/tkda.2024.78131 · Cited by 5
ChatGPT as an information source for cochlear implants: A study on accuracy and reproducibility
İçöz, Ö., & Kocabay, A. P. (2025) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-025-09565-9 · Cited by 5
HOW CAN ARTIFICIAL INTELLIGENCE HELP TO A RESEARCHER? A SAMPLE OF CHATGPT4 ROLE
YILDIZ, T. A., & Yağcı, Ş. Ç. (2023) · International Journal of Language Academy · doi:10.29228/ijla.70698 · Cited by 5
Artificial intelligence and the future of the pharmacist’s role in drug information
Patel, R., Shirk, R., Advani, A., Kar, I., Munir, F. M., Nelson, S. D., Saad, M., & Aungst, T. D. (2025) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/zxaf175 · Cited by 5
Lim, B., Seth, I., Cevik, J., Mu, X., Sofiadellis, F., Cuomo, R., & Rozen, W. M. (2025) · Surgeries · doi:10.3390/surgeries6030055 · Cited by 5
Ma, Z., Chen, R., Wang, A., Xi, Y., Liang, M., Yuan, S., Fan, N., Zang, J., Wang, T., & Zang, L. (2026) · Journal of Medical Internet Research · doi:10.2196/92315 · Cited by 4
ChatGPT: a promising AI technology for psychoradiology research and practice
Pan, N., Qin, K., Shekara, A., & DelBello, M. P. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad018 · Cited by 4
Perspectives on the use of ChatGPT in academic publications
Kardeş, G., & Oran, N. T. (2024) · Science and Public Policy · doi:10.1093/scipol/scae079 · Cited by 4
Kizito, S. (2023) · Medical Education Online · doi:10.1080/10872981.2023.2246781 · Cited by 4
The Role of Artificial Intelligence for Providing Scientific Content for Laboratory Medicine
Wu, A. H. B., Jaffe, A. S., Peacock, W. F., Kavsak, P. A., Greene, D. N., & Christenson, R. H. (2023) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfad095 · Cited by 4
ChatGPT: unlocking the potential of Artifical Intelligence in COVID-19 monitoring and prediction
Gerli, A. G., Soriano, J. B., Alicandro, G., Salvagno, M., Taccone, F. S., Centanni, S., & Vecchia, C. L. (2023) · Panminerva Medica · doi:10.23736/s0031-0808.23.04853-x · Cited by 5
Ghafoor, S., & Yahya, A. (2023) · Research Square · doi:10.21203/rs.3.rs-3152561/v1 · Cited by 4
Using Generative AI to Personalize Teaching and Learning in Higher Education Contexts
Dabbagh, N. H., & Zgheib, G. (2026) · Springer eBooks · doi:10.1007/978-3-031-99068-7_2 · Cited by 3
Bisi, T., Risser, A., Clavert, P., Migаud, H., & Dаrtus, J. (2023) · Revue de Chirurgie Orthopédique et Traumatologique · doi:10.1016/j.rcot.2023.09.014 · Cited by 5
Bitterman, J. S., D’Angelo, A. S., Holachek, A., & Eubanks, J. E. (2025) · PM&R · doi:10.1002/pmrj.13386 · Cited by 3
Metadata
- Authors
- Health, T. L. D.
- Corresponding author
- The Lancet Digital Health
- Venue
- The Lancet Digital Health
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 5
- Issue
- 3
- Pages
- e102
- ISSN
- 2589-7500 (ISSN-L)
- OpenAlex
- W4319301633
- Cited by
- 257
- References
- 0
- Citations by year
- 2026: 15 · 2025: 43 · 2024: 82 · 2023: 116
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- The Lancet Digital Health (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, large language models, chatbots, AI ethics, medical licensing examinations, AI-generated medical content, OpenAI, generative AI adoption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
