Monday, May 29, 2023

Chatting About ChatGPT

From myths and fairytales to science and statistics, ChatGPT showcased exceptional proficiency, able to tackle diverse subjects and chat about a wide variety of topics. Beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. And its performance is strikingly close to human-level

Thousands of studies mentioning ChatGPT have already been published, and the number of publications doubles every month. The number of systematic reviews is also growing. A new systematic review of reviews discusses its potential to revolutionize various industries, and the need for further interdisciplinary research, customized integrations, and ethical innovation. 

Discover more insights by reading the paper itself or explore the selected papers included in the reviews covered by the systematic review of reviews. 


Gabashvili I.S. The impact and applications of ChatGPT: a systematic review of literature reviews arXiv:2305.18086 [cs.CY]

Bubeck S, Chandrasekaran V, Eldan R, Gehrke J, Horvitz E, Kamar E, Lee P, Lee YT, Li Y, Lundberg S, Nori H. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712. 2023 Mar 22.

Yeo, Y. H., et al. (2023). Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clinical and Molecular Hepatology.

Jianning Li et al.. "ChatGPT in Healthcare: A Taxonomy and Systematic Review." medRxiv , no. (2023): 2023.03.30.23287899. Accessed April 09, 2023. doi: 10.1101/2023.03.30.23287899.

Eric Strong et al.. "Performance of ChatGPT on free-response, clinical reasoning exams." medRxiv , no. (2023): 2023.03.24.23287731. Accessed April 09, 2023. doi: 10.1101/2023.03.24.23287731.

Shan Chen et al.. "The utility of ChatGPT for cancer treatment information." medRxiv , no. (2023): 2023.03.16.23287316. Accessed April 09, 2023. doi: 10.1101/2023.03.16.23287316.

Arya Rao et al.. "Assessing the Utility of ChatGPT Throughout the Entire Clinical Workflow." medRxiv , no. (2023): 2023.02.21.23285886. Accessed April 09, 2023. doi: 10.1101/2023.02.21.23285886.

Siru Liu et al.. "Assessing the Value of ChatGPT for Clinical Decision Support Optimization." medRxiv , no. (2023): 2023.02.21.23286254. Accessed April 09, 2023. doi: 10.1101/2023.02.21.23286254.

Benoit, James R. A.. "ChatGPT for Clinical Vignette Generation, Revision, and Evaluation." medRxiv , no. (2023): 2023.02.04.23285478. Accessed April 09, 2023. doi: 10.1101/2023.02.04.23285478.

Arya Rao et al.. "Evaluating ChatGPT as an Adjunct for Radiologic Decision-Making." medRxiv , no. (2023): 2023.02.02.23285399. Accessed April 09, 2023. doi: 10.1101/2023.02.02.23285399.

Mohammad Hosseini et al.. "An exploratory survey about using ChatGPT in education, healthcare, and research." medRxiv , no. (2023): 2023.03.31.23287979. Accessed April 09, 2023. doi: 10.1101/2023.03.31.23287979.

Rohaid Ali et al.. "Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations." medRxiv , no. (2023): 2023.03.25.23287743. Accessed April 09, 2023. doi: 10.1101/2023.03.25.23287743.

Gravel, Jocelyn, Madeleine D’Amours-Gravel and Esli Osmanlliu. "Learning to fake it: limited responses and fabricated references provided by ChatGPT for medical questions." medRxiv , no. (2023): 2023.03.16.23286914. Accessed April 09, 2023. doi: 10.1101/2023.03.16.23286914.

Vikas L Bommineni et al.. "Performance of ChatGPT on the MCAT: The Road to Personalized and Equitable Premedical Learning." medRxiv , no. (2023): 2023.03.05.23286533. Accessed April 09, 2023. doi: 10.1101/2023.03.05.23286533.

Anthony J. Nastasi et al.. "Does ChatGPT Provide Appropriate and Equitable Medical Advice?: A Vignette-Based, Clinical Evaluation Across Care Contexts." medRxiv , no. (2023): 2023.02.25.23286451. Accessed April 09, 2023. doi: 10.1101/2023.02.25.23286451.

Zhiyong Han et al.. "An Explorative Assessment of ChatGPT as an Aid in Medical Education: Use it with Caution." medRxiv , no. (2023): 2023.02.13.23285879. Accessed April 09, 2023. doi: 10.1101/2023.02.13.23285879.

Yee Hui Yeo et al.. "Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma." medRxiv , no. (2023): 2023.02.06.23285449. Accessed April 09, 2023. doi: 10.1101/2023.02.06.23285449.

Julien Haemmerli et al.. "ChatGPT in glioma patient adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?." medRxiv , no. (2023): 2023.03.19.23287452. Accessed April 09, 2023. doi: 10.1101/2023.03.19.23287452.

Fares Antaki et al.. "Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings." medRxiv , no. (2023): 2023.01.22.23284882. Accessed April 09, 2023. doi: 10.1101/2023.01.22.23284882.

Tiffany H. Kung et al.. "Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models." medRxiv , no. (2022): 2022.12.19.22283643. Accessed April 09, 2023. doi: 10.1101/2022.12.19.22283643.

Harskamp, Ralf E. and Lukas De Clercq. "Performance of ChatGPT as an AI-assisted decision support tool in medicine: a proof-of-concept study for interpreting symptoms and management of common cardiac conditions (AMSTELHEART-2)." medRxiv , no. (2023): 2023.03.25.23285475. Accessed April 09, 2023. doi: 10.1101/2023.03.25.23285475.

Oh, Namkee, Gyu-Seong Choi and Woo Yong Lee. "ChatGPT Goes to Operating Room: Evaluating GPT-4 Performance and Its Potential in Surgical Education and Training in the Era of Large Language Models." medRxiv , no. (2023): 2023.03.16.23287340. Accessed April 09, 2023. doi: 10.1101/2023.03.16.23287340.

Zhu, Lingxuan, Weiming Mou and Rui Chen. "Can the ChatGPT and other Large Language Models with internet-connected database solve the questions and concerns of patient with prostate cancer?." medRxiv , no. (2023): 2023.03.06.23286827. Accessed April 09, 2023. doi: 10.1101/2023.03.06.23286827.

Sallam, Malik. "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." medRxiv , no. (2023): 2023.02.19.23286155. Accessed April 09, 2023. doi: 10.1101/2023.02.19.23286155.

Adam Hulman et al.. "ChatGPT- versus human-generated answers to frequently asked questions about diabetes: a Turing test-inspired survey among employees of a Danish diabetes center." medRxiv , no. (2023): 2023.02.13.23285745. Accessed April 09, 2023. doi: 10.1101/2023.02.13.23285745.

Sanmarchi, Francesco, Andrea Bucci and Davide Golinelli. "A step-by-step Researcher’s Guide to the use of an AI-based transformer in epidemiology: an exploratory analysis of ChatGPT using the STROBE checklist for observational studies." medRxiv , no. (2023): 2023.02.06.23285514. Accessed April 09, 2023. doi: 10.1101/2023.02.06.23285514.

Aidan Gilson et al.. "How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment." medRxiv , no. (2022): 2022.12.23.22283901. Accessed April 09, 2023. doi: 10.1101/2022.12.23.22283901.

Zaeem ul Haq et al.. "Comparing human and artificial intelligence in writing for health journals: an exploratory study." medRxiv , no. (2023): 2023.02.22.23286322. Accessed April 09, 2023. doi: 10.1101/2023.02.22.23286322.

Duong, Dat and Benjamin D. Solomon. "Analysis of large-language model versus human performance for genetics questions." medRxiv , no. (2023): 2023.01.27.23285115. Accessed April 09, 2023. doi: 10.1101/2023.01.27.23285115.

Lauren B. Anderson et al.. "Generative AI as a Tool for Environmental Health Research Translation." medRxiv , no. (2023): 2023.02.14.23285938. Accessed April 09, 2023. doi: 10.1101/2023.02.14.23285938.

Nov, Oded, Nina Singh and Devin M. Mann. "Putting ChatGPT’s Medical Advice to the (Turing) Test." medRxiv , no. (2023): 2023.01.23.23284735. Accessed April 09, 2023. doi: 10.1101/2023.01.23.23284735.

William Murk et al.. "An Opportunity to Standardize and Enhance Intelligent Virtual Assistant-Delivered Layperson Cardiopulmonary Resuscitation Instructions." medRxiv , no. (2023): 2023.03.09.23287050. Accessed April 09, 2023. doi: 10.1101/2023.03.09.23287050.

Kim, Jun-hee. "Search for Medical Information and Treatment Options for Musculoskeletal Disorders through an Artificial Intelligence Chatbot: Focusing on Shoulder Impingement Syndrome." medRxiv , no. (2022): 2022.12.16.22283512. Accessed April 09, 2023. doi: 10.1101/2022.12.16.22283512.

Joshua Au Yeung et al.. "AI chatbots not yet ready for clinical use." medRxiv , no. (2023): 2023.03.02.23286705. Accessed April 09, 2023. doi: 10.1101/2023.03.02.23286705.

Edward Guo et al.. "neuroGPT-X: Towards an Accountable Expert Opinion Tool for Vestibular Schwannoma." medRxiv , no. (2023): 2023.02.25.23286117. Accessed April 09, 2023. doi: 10.1101/2023.02.25.23286117.

David M Levine et al.. "The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model." medRxiv , no. (2023): 2023.01.30.23285067. Accessed April 09, 2023. doi: 10.1101/2023.01.30.23285067.

Yijun Shao et al.. "Hybrid Value-Aware Transformer Architecture for Joint Learning from Longitudinal and Non-Longitudinal Clinical Data." medRxiv , no. (2023): 2023.03.09.23287046. Accessed April 09, 2023. doi: 10.1101/2023.03.09.23287046.

Blythe Adamson et al.. "Approach to Machine Learning for Extraction of Real-World Data Variables from Electronic Health Records." medRxiv , no. (2023): 2023.03.02.23286522. Accessed April 09, 2023. doi: 10.1101/2023.03.02.23286522.

Mohammad Noaeen et al.. "Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions." medRxiv , no. (2023): 2023.02.13.23285873. Accessed April 09, 2023. doi: 10.1101/2023.02.13.23285873.

Sean Teebagy et al.. "Improved Performance of ChatGPT-4 on the OKAP Exam: A Comparative Study with ChatGPT-3.5." medRxiv , no. (2023): 2023.04.03.23287957. Accessed April 09, 2023. doi: 10.1101/2023.04.03.23287957.

Sarker, I.H. AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Comput. Sci. 2022, 3, 158. [Google Scholar] [CrossRef] [PubMed]
Korteling, J.E.; van de Boer-Visschedijk, G.C.; Blankendaal, R.A.M.; Boonekamp, R.C.; Eikelboom, 

A.R. Human- versus Artificial Intelligence. Front. Artif. Intell. 2021, 4, 622364. [Google Scholar] [CrossRef] [PubMed]

McCarthy, J.; Minsky, M.L.; Rochester, N.; Shannon, C.E. A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955. AI Mag. 2006, 27, 12. [Google Scholar] [CrossRef]

Jordan, M.I.; Mitchell, T.M. Machine learning: Trends, perspectives, and prospects. Science 2015, 349, 255–260. [Google Scholar] [CrossRef]

Domingos, P. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake 
Our World, 1st ed.; Basic Books, A Member of the Perseus Books Group: New York, NY, USA, 2018; p. 329. [Google Scholar]

OpenAI. OpenAI: Models GPT-3. Available online: (accessed on 14 January 2023).

Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A. Language models are few-shot learners. Adv. Neural Inf. Process. Syst. 2020, 33, 1877–1901. [Google Scholar] [CrossRef]

Wogu, I.A.P.; Olu-Owolabi, F.E.; Assibong, P.A.; Agoha, B.C.; Sholarin, M.; Elegbeleye, A.; Igbokwe, D.; Apeh, H.A. Artificial intelligence, alienation and ontological problems of other minds: A critical investigation into the future of man and machines. In Proceedings of the 2017 International Conference on Computing Networking and Informatics (ICCNI), Lagos, Nigeria, 29–31 October 2017; pp. 1–10. [Google Scholar]

Howard, J. Artificial intelligence: Implications for the future of work. Am. J. Ind. Med. 2019, 62, 917–926. [Google Scholar] [CrossRef]

Tai, M.C. The impact of artificial intelligence on human society and bioethics. Tzu Chi. Med J. 2020, 32, 339–343. [Google Scholar] [CrossRef]

Deng, J.; Lin, Y. The Benefits and Challenges of ChatGPT: An Overview. Front. Comput. Intell. Syst. 2023, 2, 81–83. [Google Scholar] [CrossRef]

Tobore, T.O. On Energy Efficiency and the Brain’s Resistance to Change: The Neurological Evolution of Dogmatism and Close-Mindedness. Psychol. Rep. 2019, 122, 2406–2416. [Google Scholar] [CrossRef]

Stokel-Walker, C. AI bot ChatGPT writes smart essays—Should professors worry? Nature, 9 December 2022. [Google Scholar] [CrossRef]

Stokel-Walker, C.; Van Noorden, R. What ChatGPT and generative AI mean for science. Nature 2023, 614, 214–216. [Google Scholar] [CrossRef]

Chatterjee, J.; Dethlefs, N. This new conversational AI model can be your friend, philosopher, and guide … and even your worst enemy. Patterns 2023, 4, 100676. [Google Scholar] [CrossRef] [PubMed]

Sallam, M.; Salim, N.A.; Al-Tammemi, A.B.; Barakat, M.; Fayyad, D.; Hallit, S.; Harapan, H.; Hallit, R.; Mahafzah, A. ChatGPT Output Regarding Compulsory Vaccination and COVID-19 Vaccine Conspiracy: A Descriptive Study at the Outset of a Paradigm Shift in Online Search for Information. Cureus 2023, 15, e35029. [Google Scholar] [CrossRef] [PubMed]

Johnson, K.B.; Wei, W.Q.; Weeraratne, D.; Frisse, M.E.; Misulis, K.; Rhee, K.; Zhao, J.; Snowdon, J.L. Precision Medicine, AI, and the Future of Personalized Health Care. Clin. Transl. Sci. 2021, 14, 86–93. [Google Scholar] [CrossRef] [PubMed]

Rajpurkar, P.; Chen, E.; Banerjee, O.; Topol, E.J. AI in health and medicine. Nat. Med. 2022, 28, 31–38. [Google Scholar] [CrossRef]

Paranjape, K.; Schinkel, M.; Nannan Panday, R.; Car, J.; Nanayakkara, P. Introducing Artificial Intelligence Training in Medical Education. JMIR Med. Educ. 2019, 5, e16048. [Google Scholar] [CrossRef]

Borji, A. A Categorical Archive of ChatGPT Failures. arXiv 2023, arXiv:2302.03494. [Google Scholar] [CrossRef]

Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef][Green Version]

Harzing, A.-W. Publish or Perish. Available online: (accessed on 16 February 2023).

Chen, T.J. ChatGPT and Other Artificial Intelligence Applications Speed up Scientific Writing. Available online: (accessed on 16 February 2023).

Thorp, H.H. ChatGPT is fun, but not an author. Science 2023, 379, 313. [Google Scholar] [CrossRef]

Kitamura, F.C. ChatGPT Is Shaping the Future of Medical Writing but Still Requires Human Judgment. Radiology 2023, 230171. [Google Scholar] [CrossRef]

Lubowitz, J. ChatGPT, An Artificial Intelligence Chatbot, Is Impacting Medical Literature. Arthroscopy, 2023; in press. [Google Scholar] [CrossRef]
Nature editorial. Tools such as ChatGPT threaten transparent science; here are our ground rules for their use. Nature 2023, 613, 612. [Google Scholar] [CrossRef]

Moons, P.; Van Bulck, L. ChatGPT: Can artificial intelligence language models be of value for cardiovascular nurses and allied health professionals. Available online: (accessed on 8 February 2023).

Cahan, P.; Treutlein, B. A conversation with ChatGPT on the role of computational systems biology in stem cell research. Stem. Cell. Rep. 2023, 18, 1–2. [Google Scholar] [CrossRef]

Ahn, C. Exploring ChatGPT for information of cardiopulmonary resuscitation. Resuscitation 2023, 185, 109729. [Google Scholar] [CrossRef] [PubMed]

Gunawan, J. Exploring the future of nursing: Insights from the ChatGPT model. Belitung Nurs. J. 2023, 9, 1–5. [Google Scholar] [CrossRef]

D’Amico, R.S.; White, T.G.; Shah, H.A.; Langer, D.J. I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care. Neurosurgery 2023, 92, 993–994. [Google Scholar] [CrossRef]

Fijačko, N.; Gosak, L.; Štiglic, G.; Picard, C.T.; John Douma, M. Can ChatGPT Pass the Life Support Exams without Entering the American Heart Association Course? Resuscitation 2023, 185, 109732. [Google Scholar] [CrossRef] [PubMed]

Mbakwe, A.B.; Lourentzou, I.; Celi, L.A.; Mechanic, O.J.; Dagan, A. ChatGPT passing USMLE shines a spotlight on the flaws of medical education. PLoS Digit. Health 2023, 2, e0000205. [Google Scholar] [CrossRef]

Huh, S. Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers. J. Educ. Eval. Health Prof. 2023, 20, 5. [Google Scholar] [CrossRef]

O’Connor, S. Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse? Nurse Educ. Pract. 2023, 66, 103537. [Google Scholar] [CrossRef]

Shen, Y.; Heacock, L.; Elias, J.; Hentel, K.D.; Reig, B.; Shih, G.; Moy, L. ChatGPT and Other Large Language Models Are Double-edged Swords. Radiology 2023, 230163. [Google Scholar] [CrossRef]

Gordijn, B.; Have, H.t. ChatGPT: Evolution or revolution? Med. Health Care Philos. 2023, 26, 1–2. [Google Scholar] [CrossRef]

Mijwil, M.; Aljanabi, M.; Ali, A. ChatGPT: Exploring the Role of Cybersecurity in the Protection of Medical Information. Mesop. J. CyberSecurity 2023, 18–21. [Google Scholar] [CrossRef]
The Lancet Digital Health. ChatGPT: Friend or foe? Lancet Digit. Health 2023, 5, e112–e114. [Google Scholar] [CrossRef]

Aljanabi, M.; Ghazi, M.; Ali, A.; Abed, S. ChatGpt: Open Possibilities. Iraqi J. Comput. Sci. Math. 2023, 4, 62–64. [Google Scholar] [CrossRef]

Kumar, A. Analysis of ChatGPT Tool to Assess the Potential of its Utility for Academic Writing in Biomedical Domain. Biol. Eng. Med. Sci. Rep. 2023, 9, 24–30. [Google Scholar] [CrossRef]
Zielinski, C.; Winker, M.; Aggarwal, R.; Ferris, L.; Heinemann, M.; Lapeña, J.; Pai, S.; Ing, E.; 

Citrome, L. Chatbots, ChatGPT, and Scholarly Manuscripts WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications. Maced J. Med. Sci. 2023, 11, 83–86. [Google Scholar] [CrossRef]

Biswas, S. ChatGPT and the Future of Medical Writing. Radiology 2023, 223312. [Google Scholar] [CrossRef]

Stokel-Walker, C. ChatGPT listed as author on research papers: Many scientists disapprove. Nature 2023, 613, 620–621. [Google Scholar] [CrossRef]
van Dis, E.A.M.; Bollen, J.; Zuidema, W.; van Rooij, R.; Bockting, C.L. ChatGPT: Five priorities for research. Nature 2023, 614, 224–226. [Google Scholar] [CrossRef] [PubMed]

Lund, B.; Wang, S. Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi. Tech. News, 2023; ahead-of-print. [Google Scholar] [CrossRef]

Liebrenz, M.; Schleifer, R.; Buadze, A.; Bhugra, D.; Smith, A. Generating scholarly content with ChatGPT: Ethical challenges for medical publishing. Lancet Digit. Health 2023, 5, e105–e106. [Google Scholar] [CrossRef] [PubMed]

Manohar, N.; Prasad, S.S. Use of ChatGPT in Academic Publishing: A Rare Case of Seronegative Systemic Lupus Erythematosus in a Patient With HIV Infection. Cureus 2023, 15, e34616. [Google Scholar] [CrossRef] [PubMed]

Akhter, H.M.; Cooper, J.S. Acute Pulmonary Edema After Hyperbaric Oxygen Treatment: A Case Report Written With ChatGPT Assistance. Cureus 2023, 15, e34752. [Google Scholar] [CrossRef] [PubMed]

Holzinger, A.; Keiblinger, K.; Holub, P.; Zatloukal, K.; Müller, H. AI for life: Trends in artificial intelligence for biotechnology. N. Biotechnol. 2023, 74, 16–24. [Google Scholar] [CrossRef]

Mann, D. Artificial Intelligence Discusses the Role of Artificial Intelligence in Translational Medicine: A JACC: Basic to Translational Science Interview With ChatGPT. J. Am. Coll. Cardiol. Basic Trans. Sci. 2023, 8, 221–223. [Google Scholar] [CrossRef]

Patel, S.B.; Lam, K. ChatGPT: The future of discharge summaries? Lancet Digit. Health 2023, 5, e107–e108. [Google Scholar] [CrossRef]

Zhavoronkov, A. Rapamycin in the context of Pascal’s Wager: Generative pre-trained transformer perspective. Oncoscience 2022, 9, 82–84. [Google Scholar] [CrossRef]

Hallsworth, J.E.; Udaondo, Z.; Pedrós-Alió, C.; Höfer, J.; Benison, K.C.; Lloyd, K.G.; Cordero, R.J.B.; de Campos, C.B.L.; Yakimov, M.M.; Amils, R. Scientific novelty beyond the experiment. Microb. 
Biotechnol. 2023; Online ahead of print. [Google Scholar] [CrossRef]

Huh, S. Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination?: A descriptive study. J. Educ. Eval. Health Prof. 2023, 20, 1. [Google Scholar] [CrossRef]

Khan, A.; Jawaid, M.; Khan, A.; Sajjad, M. ChatGPT-Reshaping medical education and clinical management. Pak. J. Med. Sci. 2023, 39, 605–607. [Google Scholar] [CrossRef]

Gilson, A.; Safranek, C.W.; Huang, T.; Socrates, V.; Chi, L.; Taylor, R.A.; Chartash, D. How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Med. Educ. 2023, 9, e45312. [Google Scholar] [CrossRef] [PubMed]

Kung, T.H.; Cheatham, M.; Medenilla, A.; Sillos, C.; De Leon, L.; Elepaño, C.; Madriaga, M.; Aggabao, R.; Diaz-Candido, G.; Maningo, J.; et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit. Health 2023, 2, e0000198. [Google Scholar] [CrossRef]

Marchandot, B.; Matsushita, K.; Carmona, A.; Trimaille, A.; Morel, O. ChatGPT: The Next Frontier in Academic Writing for Cardiologists or a Pandora’s Box of Ethical Dilemmas. Eur. Heart J. Open 2023, 3, oead007. [Google Scholar] [CrossRef]

Wang, S.; Scells, H.; Koopman, B.; Zuccon, G. Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? arXiv 2023, arXiv:2302.03495. [Google Scholar] [CrossRef]

Cotton, D.; Cotton, P.; Shipway, J. Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT. EdArXiv, 2023; Preprint. [Google Scholar] [CrossRef]

Gao, C.A.; Howard, F.M.; Markov, N.S.; Dyer, E.C.; Ramesh, S.; Luo, Y.; Pearson, A.T. Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. bioRxiv 2022. [Google Scholar] [CrossRef]

Polonsky, M.; Rotman, J. Should Artificial Intelligent (AI) Agents be Your Co-author? Arguments in favour, informed by ChatGPT. SSRN, 2023; Preprint. [Google Scholar] [CrossRef]
Aczel, B.; Wagenmakers, E. Transparency Guidance for ChatGPT Usage in Scientific Writing. PsyArXiv, 2023; Preprint. [Google Scholar] [CrossRef]

De Angelis, L.; Baglivo, F.; Arzilli, G.; Privitera, G.P.; Ferragina, P.; Tozzi, A.E.; Rizzo, C. ChatGPT and the Rise of Large Language Models: The New AI-Driven Infodemic Threat in Public Health. SSRN, 2023; Preprint. [Google Scholar] [CrossRef]

Benoit, J. ChatGPT for Clinical Vignette Generation, Revision, and Evaluation. medRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Sharma, G.; Thakur, A. ChatGPT in Drug Discovery. ChemRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Rao, A.; Kim, J.; Kamineni, M.; Pang, M.; Lie, W.; Succi, M.D. Evaluating ChatGPT as an Adjunct for Radiologic Decision-Making. medRxiv 2023. [Google Scholar] [CrossRef]

Antaki, F.; Touma, S.; Milad, D.; El-Khoury, J.; Duval, R. Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings. medRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Aydın, Ö.; Karaarslan, E. OpenAI ChatGPT generated literature review: Digital twin in healthcare. SSRN, 2022; Preprint. [Google Scholar] [CrossRef]

Sanmarchi, F.; Bucci, A.; Golinelli, D. A step-by-step Researcher’s Guide to the use of an AI-based transformer in epidemiology: An exploratory analysis of ChatGPT using the STROBE checklist for observational studies. medRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Duong, D.; Solomon, B.D. Analysis of large-language model versus human performance for genetics questions. medRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Yeo, Y.H.; Samaan, J.S.; Ng, W.H.; Ting, P.-S.; Trivedi, H.; Vipani, A.; Ayoub, W.; Yang, J.D.; Liran, O.; Spiegel, B.; et al. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. medRxiv, 2023; Preprint. [Google Scholar] [CrossRef]

Bašić, Ž.; Banovac, A.; Kružić, I.; Jerković, I. Better by You, better than Me? ChatGPT-3 as writing assistance in students’ essays. arXiv, 2023; Preprint. [Google Scholar] [CrossRef]

Hisan, U.; Amri, M. ChatGPT and Medical Education: A Double-Edged Sword. Researchgate, 2023; Preprint. [Google Scholar] [CrossRef]

Jeblick, K.; Schachtner, B.; Dexl, J.; Mittermeier, A.; Stüber, A.T.; Topalis, J.; Weber, T.; Wesp, P.; 

Sabel, B.; Ricke, J.; et al. ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. arXiv 2022, arXiv:2212.14882. [Google Scholar] [CrossRef]

Nisar, S.; Aslam, M. Is ChatGPT a Good Tool for T&CM Students in Studying Pharmacology? SSRN, 2023; Preprint. [Google Scholar] [CrossRef]

Lin, Z. Why and how to embrace AI such as ChatGPT in your academic life. PsyArXiv, 2023; Preprint. [Google Scholar] [CrossRef]

Taecharungroj, V. “What Can ChatGPT Do?”; Analyzing Early Reactions to the Innovative AI Chatbot on Twitter. Big Data Cogn. Comput. 2023, 7, 35. [Google Scholar] [CrossRef]

Cascella, M.; Montomoli, J.; Bellini, V.; Bignami, E. Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios. J. Med. Syst. 2023, 47, 33. [Google Scholar] [CrossRef] [PubMed]

Nachshon, A.; Batzofin, B.; Beil, M.; van Heerden, P.V. When Palliative Care May Be the Only Option in the Management of Severe Burns: A Case Report Written With the Help of ChatGPT. Cureus 2023, 15, e35649. [Google Scholar] [CrossRef] [PubMed]

Kim, S.G. Using ChatGPT for language editing in scientific articles. Maxillofac. Plast. Reconstr. Surg. 2023, 45, 13. [Google Scholar] [CrossRef] [PubMed]

Ali, S.R.; Dobbs, T.D.; Hutchings, H.A.; Whitaker, I.S. Using ChatGPT to write patient clinic letters. Lancet Digit. Health, 2023; Online ahead of print. [Google Scholar] [CrossRef]

Shahriar, S.; Hayawi, K. Let’s have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations. arXiv 2023, arXiv:2302.13817. [Google Scholar] [CrossRef]

Alberts, I.L.; Mercolli, L.; Pyka, T.; Prenosil, G.; Shi, K.; Rominger, A.; Afshar-Oromieh, A. Large language models (LLM) and ChatGPT: What will the impact on nuclear medicine be? Eur. J. Nucl. Med. Mol. Imaging, 2023; Online ahead of print. [Google Scholar] [CrossRef]

Sallam, M.; Salim, N.A.; Barakat, M.; Al-Tammemi, A.B. ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study. Narra J. 2023, 3, e103. [Google Scholar] [CrossRef]

Quintans-Júnior, L.J.; Gurgel, R.Q.; Araújo, A.A.S.; Correia, D.; Martins-Filho, P.R. ChatGPT: The new panacea of the academic world. Rev. Soc. Bras. Med. Trop. 2023, 56, e0060. [Google Scholar] [CrossRef]

Homolak, J. Opportunities and risks of ChatGPT in medicine, science, and academic publishing: A modern Promethean dilemma. Croat. Med. J. 2023, 64, 1–3. [Google Scholar] [CrossRef]

Checcucci, E.; Verri, P.; Amparore, D.; Cacciamani, G.E.; Fiori, C.; Breda, A.; Porpiglia, F. Generative Pre-training Transformer Chat (ChatGPT) in the scientific community: The train has left the station. 

Minerva. Urol. Nephrol. 2023; Online ahead of print. [Google Scholar] [CrossRef]
Smith, R. Peer review: A flawed process at the heart of science and journals. J. R. Soc. Med. 2006, 99, 178–182. [Google Scholar] [CrossRef][Green Version]

Mavrogenis, A.F.; Quaile, A.; Scarlat, M.M. The good, the bad and the rude peer-review. Int. Orthop. 2020, 44, 413–415. [Google Scholar] [CrossRef][Green Version]

Margalida, A.; Colomer, M. Improving the peer-review process and editorial quality: Key errors escaping the review and editorial process in top scientific journals. PeerJ. 2016, 4, e1670. [Google Scholar] [CrossRef][Green Version]

Ollivier, M.; Pareek, A.; Dahmen, J.; Kayaalp, M.E.; Winkler, P.W.; Hirschmann, M.T.; Karlsson, J. A deeper dive into ChatGPT: History, use and future perspectives for orthopaedic research. Knee Surg. Sports Traumatol. Arthrosc. 2023; Online ahead of print. [Google Scholar] [CrossRef]
Nolan, C. Interstellar; 169 minutes; Legendary Entertainment: Burbank, CA, USA, 2014. [Google Scholar]

Kostick-Quenet, K.M.; Gerke, S. AI in the hands of imperfect users. Npj Digit. Med. 2022, 5, 197. [Google Scholar] [CrossRef] [PubMed]

Frederico, G.F.; Garza-Reyes, J.A.; Anosike, A.; Kumar, V. Supply Chain 4.0: Concepts, Maturity and Research Agenda. Supply Chain. Manag. 2020, 25, 262–282. [Google Scholar] [CrossRef]

Toorajipour, R.; Sohrabpour, V.; Nazarpour, A.; Oghazi, P.; Fischl, M. Artificial intelligence in supply chain management: A systematic literature review. J. Bus. Res. 2021, 122, 502–517. [Google Scholar] [CrossRef]

Frederico, G.F. From Supply Chain 4.0 to Supply Chain 5.0: Findings from a Systematic Literature Review and Research Directions. Logistics 2021, 5, 49. [Google Scholar] [CrossRef]

Younis, H.; Shishodia, A.; Gunasekaran, A.; Min, H.; Munim, Z.H. Applications of artificial intelligence and machine learning within supply chains: Systematic review and future research directions. J. Model. 

Manag. 2022, 17, 916–940. [Google Scholar] [CrossRef]
Sharma, R.; Sundarakani, B.; Alsharairi, M. The role of artificial intelligence in supply chain management: Mapping the territory. Int. J. Prod. Res. 2022, 60, 7527–7550. [Google Scholar] [CrossRef]

Ahmed, T.; Karmaker, C.L.; Nasir, S.B.; Moktadir, M.A.; Paul, S.K. Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective. Comput. Ind. Eng. 2023, 177, 109055. [Google Scholar] [CrossRef] [PubMed]

O’Marah, K. ChatGPT and Supply Chain: The Good, The Bad, and The Ugly; Zero100: London, UK, 2023; Available online: (accessed on 11 February 2023).

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