This paper is in the following e-collection/theme issue:

Machine Learning (1501) New Methods (963) New Technologies (81) Information Seeking, Information Needs (481) Natural Language Processing (706) Tools, Programs and Algorithms (275)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48933, first published .
Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review

Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review

Applications of the Natural Language Processing Tool ChatGPT in Clinical Practice: Comparative Study and Augmented Systematic Review

Authors of this article:

Nikolas Schopow1 Author Orcid Image ;   Georg Osterhoff1 Author Orcid Image ;   David Baur1 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

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  2. Bragazzi N, Garbarino S. Toward Clinical Generative AI: Conceptual Framework. JMIR AI 2024;3:e55957 View
  3. Griewing S, Knitza J, Boekhoff J, Hillen C, Lechner F, Wagner U, Wallwiener M, Kuhn S. Evolution of publicly available large language models for complex decision-making in breast cancer care. Archives of Gynecology and Obstetrics 2024;310(1):537 View
  4. Konet A, Thomas I, Gartlehner G, Kahwati L, Hilscher R, Kugley S, Crotty K, Viswanathan M, Chew R. Performance of two large language models for data extraction in evidence synthesis. Research Synthesis Methods 2024;15(5):818 View
  5. Tao K, Osman Z, Tzou P, Rhee S, Ahluwalia V, Shafer R. GPT-4 performance on querying scientific publications: reproducibility, accuracy, and impact of an instruction sheet. BMC Medical Research Methodology 2024;24(1) View
  6. Huo W, He M, Zeng Z, Bao X, Lu Y, Tian W, Feng J, Feng R. Impact Analysis of COVID-19 Pandemic on Hospital Reviews on Dianping Website in Shanghai, China: Empirical Study. Journal of Medical Internet Research 2024;26:e52992 View
  7. Li K, Fernandez A, Schwartz R, Rios N, Carlisle M, Amend G, Patel H, Breyer B. Comparing GPT-4 and Human Researchers in Health Care Data Analysis: Qualitative Description Study. Journal of Medical Internet Research 2024;26:e56500 View
  8. Gu W, Yu Z. A bibliometric analysis of the application of AI chatbots in language learning contexts. Quality & Quantity 2024 View
  9. Affengruber L, van der Maten M, Spiero I, Nussbaumer-Streit B, Mahmić-Kaknjo M, Ellen M, Goossen K, Kantorova L, Hooft L, Riva N, Poulentzas G, Lalagkas P, Silva A, Sassano M, Sfetcu R, Marqués M, Friessova T, Baladia E, Pezzullo A, Martinez P, Gartlehner G, Spijker R. An exploration of available methods and tools to improve the efficiency of systematic review production: a scoping review. BMC Medical Research Methodology 2024;24(1) View
  10. Breitwieser M, Moore V, Wiesner T, Wichlas F, Deininger C. NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine. Diagnostics 2024;14(24):2792 View