Large Language Models for Medicine: A Survey
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Yanxin, Gan, Wensheng, Chen, Zefeng, Qi, Zhenlian, Liang, Qian, Yu, Philip S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)
by: Xu, Hanyi, et al.
Published: (2024)
Advances in Large Language Models for Medicine
by: Kan, Zhiyu, et al.
Published: (2025)
by: Kan, Zhiyu, et al.
Published: (2025)
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Large Language Models in Politics and Democracy: A Comprehensive Survey
by: Aoki, Goshi
Published: (2024)
by: Aoki, Goshi
Published: (2024)
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
by: Aljohani, Manar, et al.
Published: (2025)
by: Aljohani, Manar, et al.
Published: (2025)
Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)
by: Liang, Yuxuan, et al.
Published: (2025)
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
by: Zeng, Yifan, et al.
Published: (2024)
by: Zeng, Yifan, et al.
Published: (2024)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation
by: von der Heyde, Leah, et al.
Published: (2025)
by: von der Heyde, Leah, et al.
Published: (2025)
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
by: Zhang, Yue, et al.
Published: (2023)
by: Zhang, Yue, et al.
Published: (2023)
PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)
by: Zeng, Zheni, et al.
Published: (2024)
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)
by: Wu, Jiageng, et al.
Published: (2023)
Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
by: Geng, Mingmeng, et al.
Published: (2024)
by: Geng, Mingmeng, et al.
Published: (2024)
On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)
by: Franceschelli, Giorgio, et al.
Published: (2023)
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
by: Zhang, Bang, et al.
Published: (2025)
by: Zhang, Bang, et al.
Published: (2025)
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
by: Niu, Qian, et al.
Published: (2024)
by: Niu, Qian, et al.
Published: (2024)
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
by: Zhou, Hongjian, et al.
Published: (2023)
by: Zhou, Hongjian, et al.
Published: (2023)
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)
by: Hu, Beizhe, et al.
Published: (2023)
Regulating Large Language Models: A Roundtable Report
by: Nicholas, Gabriel, et al.
Published: (2024)
by: Nicholas, Gabriel, et al.
Published: (2024)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches
by: Wu, Patrick Y.
Published: (2025)
by: Wu, Patrick Y.
Published: (2025)
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
by: Chen, Yihang, et al.
Published: (2025)
by: Chen, Yihang, et al.
Published: (2025)
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
by: Hu, Yiran, et al.
Published: (2026)
by: Hu, Yiran, et al.
Published: (2026)
The global landscape of academic guidelines for generative AI and Large Language Models
by: Jiao, Junfeng, et al.
Published: (2024)
by: Jiao, Junfeng, et al.
Published: (2024)
Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)
by: Guo, Zhijun, et al.
Published: (2024)
PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)
by: Azzopardi, Leif, et al.
Published: (2024)
Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)
by: Dahl, Matthew, et al.
Published: (2024)
Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)
by: Hogan, Daniel P., et al.
Published: (2024)
Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)
by: Hou, Betty Li, et al.
Published: (2024)
Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)
by: Kundu, Anindita, et al.
Published: (2024)
Evaluating Large Language Models for Detecting Antisemitism
by: Patel, Jay, et al.
Published: (2025)
by: Patel, Jay, et al.
Published: (2025)
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)
by: Ackermann, Richard, et al.
Published: (2025)
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)
by: Li, Xingxuan, et al.
Published: (2022)
Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models
by: Rehana, Hasin, et al.
Published: (2025)
by: Rehana, Hasin, et al.
Published: (2025)
Large Language Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
Dual Traits in Probabilistic Reasoning of Large Language Models
by: Li, Shenxiong, et al.
Published: (2024)
by: Li, Shenxiong, et al.
Published: (2024)
Similar Items
-
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024) -
Advances in Large Language Models for Medicine
by: Kan, Zhiyu, et al.
Published: (2025) -
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024) -
Large Language Models in Politics and Democracy: A Comprehensive Survey
by: Aoki, Goshi
Published: (2024) -
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
by: Aljohani, Manar, et al.
Published: (2025)