mlsanityData to 14 Oct 2026

Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review

arXiv 2403.15274 ↗First posted 22 Mar 2024q-bio.OT cs.AIcited by 4

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 41 of its 114 references that are in the map. First posted on arXiv 22 Mar 2024.

Builds on

41 of 114 references.

References · 41

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,320
  3. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  4. 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,211
  5. 2020Domain-Specific Language Model Pretraining for Biomedical Natural Language Processingcited by 1,009
  6. 2023Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Modelscited by 698
  7. 2023The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)cited by 681
  8. 2023A Survey of Hallucination in Large Foundation Modelscited by 368
  9. 2023MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Datacited by 286
  10. 2023How is ChatGPT's behavior changing over time?cited by 270
  11. 2023What can Large Language Models do in chemistry? A comprehensive benchmark on eight taskscited by 185
  12. 2023Large Language Models for Generative Information Extraction: A Surveycited by 185
29 more
  1. 2023A Study of Generative Large Language Model for Medical Research and Healthcarecited by 163
  2. 2023Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Modelscited by 133
  3. 2023A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capabilitycited by 119
  4. 2023Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Healthcited by 118
  5. 2023GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Informationcited by 117
  6. 2023Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspectivecited by 92
  7. 2023ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluationcited by 88
  8. 2023InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discoverycited by 86
  9. 2023Review of Large Vision Models and Visual Prompt Engineeringcited by 77
  10. 2023Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical Diagnosiscited by 77
  11. 2023Large AI Models in Health Informatics: Applications, Challenges, and the Futurecited by 61
  12. 2023DrugAssist: A Large Language Model for Molecule Optimizationcited by 59
  13. 2023ChatCounselor: A Large Language Models for Mental Health Supportcited by 44
  14. 2023DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphscited by 40
  15. 2023Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4Vcited by 38
  16. 2023A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysiscited by 37
  17. 2023Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Modelscited by 36
  18. 2023A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Taskscited by 36
  19. 2023ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedbackcited by 31
  20. 2023Holistic Evaluation of GPT-4V for Biomedical Imagingcited by 19
  21. 2024SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graphcited by 19
  22. 2023Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generatorscited by 17
  23. 2022Explainable AI for Bioinformatics: Methods, Tools, and Applicationscited by 11
  24. 2023Evaluation of GPT and BERT-based models on identifying protein-protein interactions in biomedical textcited by 9
  25. 2023On the Potential of Artificial Intelligence Chatbots for Data Exploration of Federated Bioinformatics Knowledge Graphscited by 9
  26. 2023Automated Bioinformatics Analysis via AutoBAcited by 6
  27. 2023Interactive Molecular Discovery with Natural Languagecited by 5
  28. 2024An Evaluation of Large Language Models in Bioinformatics Researchcited by 5
  29. 2023GenSpectrum Chat: Data Exploration in Public Health Using Large Language Modelscited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.

  1. 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilotcited by 83
  2. 2024SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agentscited by 3
  3. 2025A Systematic Review on the Generative AI Applications in Human Medical Genomicscited by 0
  4. 2026Evaluating Agentic Bioinformatics through Function, Evidence, and Validationcited by 0