The Current Development of Large Language Models in Medical Questions and Answers--Center on the Models of Med-PaLM and Med-PaLM2

DOI

10.2991/978-94-6239-648-7_49How to use a DOI?

Keywords

Artificial Intelligence; Large Language Models; Medical Questions and Answers; Med-PaLM; Med-PaLM2

Abstract

The large language models (LLMs) have brought a significant technological changes in the field of medical questions and answers. It can help medical personnel improve diagnostic efficiency and also help the public more easily understand their own physical health status. This article focuses on the Google Medical Model Med-PaLM and its iteratively updated model Med-PaLM2 to elaborate on its advantages, relevant application scenarios and the existing problems and optimization solutions. Med-PaLM can answer common disease diagnosis suggestions, medical knowledge inquiry and other related medical text responses. Med-PaLM2 was further upgraded and was capable of handling more complex scenarios. For instance, bedside consultation medical image interpretation and so on. But it can be seen from Med-PaLM that the three major problems it is facing are hallucination issue, data limitations issue and related ethical issues. Although the future prospects of the medical questions and answers model are extremely promising, still requires continuous optimization and improving the fine-tuning of professional medical data and achieve more comprehensive multimodal fusion. Strive to promote the transformation of LLMs from auxiliary tools to professional medical diagnosis systems.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yueqi Zhu
PY  - 2026
DA  - 2026/04/24
TI  - The Current Development of Large Language Models in Medical Questions and Answers--Center on the Models of Med-PaLM and Med-PaLM2
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 448
EP  - 454
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_49
DO  - 10.2991/978-94-6239-648-7_49
ID  - Zhu2026
ER  -