Clip in medical imaging: A comprehensive survey
Contrastive Language-Image Pre-training (CLIP), a straightforward yet effective pre-training
paradigm, successfully introduces semantic-rich text supervision to vision models and has …
paradigm, successfully introduces semantic-rich text supervision to vision models and has …
Chexagent: Towards a foundation model for chest x-ray interpretation
Chest X-rays (CXRs) are the most frequently performed imaging test in clinical practice.
Recent advances in the development of vision-language foundation models (FMs) give rise …
Recent advances in the development of vision-language foundation models (FMs) give rise …
Large Language Models for Disease Diagnosis: A Scoping Review
Automatic disease diagnosis has become increasingly valuable in clinical practice. The
advent of large language models (LLMs) has catalyzed a paradigm shift in artificial …
advent of large language models (LLMs) has catalyzed a paradigm shift in artificial …
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
Abstract Recent advancements in Computer Assisted Diagnosis have shown promising
performance in medical imaging tasks, particularly in chest X-ray analysis. However, the …
performance in medical imaging tasks, particularly in chest X-ray analysis. However, the …
Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical Vision-Language Pre-training
Z Shuai, L Shen - arXiv preprint arXiv:2404.03854, 2024 - arxiv.org
Vision-language pre-training (VLP) has arised as an efficient scheme for multimodal
representation learning, but it requires large-scale multimodal data for pre-training, making it …
representation learning, but it requires large-scale multimodal data for pre-training, making it …
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …
their complexity and vast volume pose significant challenges to data interpretation and …
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Chest X-ray imaging (CXR) is an important diagnostic tool used in hospitals to assess
patient conditions and monitor changes over time. Generative models, specifically diffusion …
patient conditions and monitor changes over time. Generative models, specifically diffusion …
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation
J Park, S Kim, B Yoon, J Hyun, K Choi - arXiv preprint arXiv:2408.16213, 2024 - arxiv.org
The rapid evolution of artificial intelligence, especially in large language models (LLMs), has
significantly impacted various domains, including healthcare. In chest X-ray (CXR) analysis …
significantly impacted various domains, including healthcare. In chest X-ray (CXR) analysis …
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
The increasing demand for transparent and reliable models, particularly in high-stakes
decision-making areas such as medical image analysis, has led to the emergence of …
decision-making areas such as medical image analysis, has led to the emergence of …
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation
X Liu, G Yang, Y Luo, J Mao, X Zhang, M Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Radiology is a vital and complex component of modern clinical workflow and covers many
tasks. Recently, vision-language (VL) foundation models in medicine have shown potential …
tasks. Recently, vision-language (VL) foundation models in medicine have shown potential …