Living Review for [LLMs in Dermatology][1]
Data Sources: Dimensions.ai, [Europe PMC][2], [PubMed][3], [Semantic Scholar][4], [Google Scholar][5], [Cochrane Library][6], [MedrXiv][7], [BiorXiv][8] and [ArXiv][9].
[Protocol][10] Registration: PROSPERO no. [CRD42023417336][11]:
(Date of registration: 25 April 2023; Date of first submission: 14 April 2023)
Processed Data: ChatGPT
[Clinical Trials][12]; CHATGPT [Reviews][13]; AI: [systematic reviews with PROSPERO protocols][14]; AI: [Clinical Trials][15]; ChatGPT [Case Reports][16]; Search [Keywords/Mesh terms][17]; animation: [PROSPERO timeline][18], animation: [Europe PMC AI publications][19]. Vos Viewer vizualizations: Timeline of [clinical trial specializations][20]; Clusters of keywords in [ChatGPT publications in pubmed][21]; Timeline of [ChatGPT systematic reviews][22] - arranged by the month of final literature searches in these reviews;
The complete search strategy and queries are available at https://osf.io/bazqp. For arXiv and Semantic Scholar we also utilized their API (implementation code available at https://osf.io/gekuf and https://osf.io/hd2at). Examples of python scripts used to process the data are available at [github][23].
PAPERS
Gabashvili I.S. The impact and applications of ChatGPT: a systematic review of literature reviews. arXiv:2305.18086 https://doi.org/10.48550/arXiv.2305.18086
Gabashvili IS. ChatGPT in Dermatology: A Comprehensive Systematic Review JMIR Preprints. 02/06/2023:48979. medRxiv 2023.06.11.23291252; https://doi.org/10.1101/2023.06.11.23291252
Gabashvili I.S. Artificial Intelligence in Biomedicine: Systematic Review. medRxiv 2023.07.23.23292672; doi: https://doi.org/10.1101/2023.07.23.23292672
Other resources:
- [Killed By LLM][24] - over[saturated benchmarks][25]
[1]: https://osf.io/87u6q/wiki/Dermatology%20Living%20Systematic%20Review/
[2]: https://europepmc.org/
[3]: https://pubmed.ncbi.nlm.nih.gov/
[4]: https://www.semanticscholar.org/
[5]: https://scholar.google.com/
[6]: https://www.cochranelibrary.com/search
[7]: https://www.medrxiv.org/
[8]: https://www.biorxiv.org/
[9]: https://arxiv.org/
[10]: https://osf.io/px928
[11]: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023417336
[12]: https://osf.io/87u6q/files/osfstorage/64b2ddae6f8ad002a7bc1f3d/?pid=87u6q
[13]: https://osf.io/ysrh7
[14]: https://osf.io/87u6q/files/osfstorage/64b5b009f296910092f07243/?pid=87u6q
[15]: https://osf.io/9u7kt
[16]: https://osf.io/ard23
[17]: https://osf.io/nc89x
[18]: https://osf.io/bgpdy
[19]: https://osf.io/hp79c
[20]: https://osf.io/hqz4b
[21]: https://osf.io/z2pqn
[22]: [https://osf.io/n4zjw]
[23]: https://github.com/Aurametrix/Alg/blob/master/BIOMED/meta-analysis.py
[24]: https://r0bk.github.io/killedbyllm/
[25]: https://r0bk.github.io/killedbyllm/
