A comprehensive survey of foundation models in medicine
Foundation models (FMs) are large-scale deeplearning models that are developed using
large datasets and self-supervised learning methods. These models serve as a base for …
large datasets and self-supervised learning methods. These models serve as a base for …
Rocov2: Radiology objects in context version 2, an updated multimodal image dataset
Automated medical image analysis systems often require large amounts of training data with
high quality labels, which are difficult and time consuming to generate. This paper …
high quality labels, which are difficult and time consuming to generate. This paper …
From query tools to causal architects: Harnessing large language models for advanced causal discovery from data
Large Language Models (LLMs) exhibit exceptional abilities for causal analysis between
concepts in numerous societally impactful domains, including medicine, science, and law …
concepts in numerous societally impactful domains, including medicine, science, and law …
A comprehensive survey of large language models and multimodal large language models in medicine
H **ao, F Zhou, X Liu, T Liu, Z Li, X Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal
large language models (MLLMs) have garnered significant attention due to their powerful …
large language models (MLLMs) have garnered significant attention due to their powerful …
Overview of ImageCLEFmedical 2023–caption prediction and concept detection
J Rückert, A Ben Abacha… - Working Notes of the …, 2023 - arodes.hes-so.ch
Résumé The 2023 ImageCLEFmedical GANs task is the first edition of this task, examining
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …
the existing hypothesis that GANs (Generative Adversarial Networks) are generating …
Depression detection in clinical interviews with LLM-empowered structural element graph
Depression is a widespread mental health disorder affecting millions globally. Clinical
interviews are the gold standard for assessing depression, but they heavily rely on scarce …
interviews are the gold standard for assessing depression, but they heavily rely on scarce …
Large Language Model for Medical Images: A Survey of Taxonomy, Systematic Review, and Future Trends
P Wang, W Lu, C Lu, R Zhou, M Li… - Big Data Mining and …, 2025 - ieeexplore.ieee.org
The advent of Large Language Models (LLMs) has sparked considerable interest in the
medical image domain, as they can generalize to multiple tasks and offer outstanding …
medical image domain, as they can generalize to multiple tasks and offer outstanding …
Maken: Improving medical report generation with adapter tuning and knowledge enhancement in vision-language foundation models
S Wu, B Yang, Z Ye, H Wang, H Zheng… - … on Biomedical Imaging …, 2024 - ieeexplore.ieee.org
Medical report generation demands automatic creation of coherent and precise descriptions
for medical images. However, the scarcity of labelled medical image-report pairs poses …
for medical images. However, the scarcity of labelled medical image-report pairs poses …
Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models
S Wu, B Yang, Z Ye, H Wang, H Zheng… - arxiv preprint arxiv …, 2023 - arxiv.org
Medical report generation demands automatic creation of coherent and precise descriptions
for medical images. However, the scarcity of labelled medical image-report pairs poses …
for medical images. However, the scarcity of labelled medical image-report pairs poses …
ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
Accurately interpreting medical images and writing radiology reports is a critical but
challenging task in healthcare. Both human-written and AI-generated reports can contain …
challenging task in healthcare. Both human-written and AI-generated reports can contain …