Awesome-Medical-LLMs.md

Awesome-Medical-LLMs

This repository presents a curated list of research papers exploring the use of large language models in AI for medicine and healthcare. The compilation is organized into three sections: surveys, large-language models, and vision-language models.

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Survey

Year	Title	Venue
2023	Large language models in medicine	Nature Medicine
2023	The shaky foundations of large language models and foundation models for electronic health records	npj Digital Medicine
2023	Foundation models for generalist medical artificial intelligence	Nature

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Large-Language Models

Year	Title	Venue
2023	Radiology-Llama2: Best-in-Class Large Language Model for Radiology	ArXiv
2023	Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians	Nature Medicine
2023	Large Language Models Encode Clinical Knowledge	Nature
2023	Health system-scale language models are all-purpose prediction engines	Nature
2023	Towards Expert-Level Medical Question Answering with Large Language Models	ArXiv
2023	Capabilities of GPT-4 on Medical Challenge Problems	ArXiv
2022	ClinicalT5: A Generative Language Model for Clinical Text	EMNLP
2022	A large language model for electronic health records	npj Digital Medicine
2022	BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining	Briefings in Bioinformatics
2022	BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model	ACL-BioNLP
2021	KeBioLM: Improving Biomedical Pretrained Language Models with Knowledge	ACL-BioNLP
2020	Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art	ACL-ClinicalNLP
2020	BioMegatron: Larger Biomedical Domain Language Model	EMNLP
2021	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing	ACM TCH
2020	ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission	CHIL
2019	BioBERT: A pre-trained biomedical language representation model for biomedical text mining	Bioinformatics

Vision-Language Models

Year	Title	Venue
2023	Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training	MICCAI
2023	Text-guided Foundation Model Adaptation for Pathological Image Classification	MICCAI
2023	Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts	ICCV
2023	CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection	ICCV
2023	A visual-language foundation model for pathology image analysis using medical Twitter	Nature Medicine
2023	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images	CVPR
2023	Learning to Exploit Temporal Structure for Biomedical Vision Language Processing	CVPR
2023	Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing	ArXiv
2022	MedCLIP: Contrastive Learning from Unpaired Medical Images and Text	EMNLP
2022	Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning	Nature Biomedical Engineering