Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

• URL: http://arxiv.org/abs/2403.15274v2
• Date: Wed, 12 Jun 2024 15:50:31 GMT
• Title: Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review
• Authors: Jinge Wang, Zien Cheng, Qiuming Yao, Li Liu, Dong Xu, Gangqing Hu,
• Abstract summary: The year 2023 marked a significant surge in the exploration of applying large language model (LLM) chatbots, notably ChatGPT, across various disciplines. We surveyed the applications of ChatGPT in bioinformatics and biomedical informatics throughout the year, covering omics, genetics, biomedical text mining, drug discovery, biomedical image understanding, bioinformatics programming, and bioinformatics education.
• Score: 18.453228240650617
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The year 2023 marked a significant surge in the exploration of applying large language model (LLM) chatbots, notably ChatGPT, across various disciplines. We surveyed the applications of ChatGPT in bioinformatics and biomedical informatics throughout the year, covering omics, genetics, biomedical text mining, drug discovery, biomedical image understanding, bioinformatics programming, and bioinformatics education. Our survey delineates the current strengths and limitations of this chatbot in bioinformatics and offers insights into potential avenues for future developments.

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