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Clip in medical imaging: A comprehensive survey
Z Zhao, Y Liu, H Wu, M Wang, Y Li, S Wang… - ar** 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 …
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 …
Mdagents: An adaptive collaboration of llms for medical decision-making
Foundation models are becoming valuable tools in medicine. Yet despite their promise, the
best way to leverage Large Language Models (LLMs) in complex medical tasks remains an …
best way to leverage Large Language Models (LLMs) in complex medical tasks remains an …
Ehragent: Code empowers large language models for few-shot complex tabular reasoning on electronic health records
Large language models (LLMs) have demonstrated exceptional capabilities in planning and
tool utilization as autonomous agents, but few have been developed for medical problem …
tool utilization as autonomous agents, but few have been developed for medical problem …
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries
Abstract Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical
decision-making, but their length and complexity make information extraction challenging …
decision-making, but their length and complexity make information extraction challenging …
BlendSQL: A scalable dialect for unifying hybrid question answering in relational algebra
Many existing end-to-end systems for hybrid question answering tasks can often be boiled
down to a" prompt-and-pray" paradigm, where the user has limited control and insight into …
down to a" prompt-and-pray" paradigm, where the user has limited control and insight into …
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
B Liu, K Zou, L Zhan, Z Lu, X Dong, Y Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
Medical Visual Question Answering (VQA) is an essential technology that integrates
computer vision and natural language processing to automatically respond to clinical …
computer vision and natural language processing to automatically respond to clinical …
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark
S Sivasubramaniam, C Osei-Akoto, Y Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Electronic health records (EHRs) are stored in various database systems with different
database models on heterogeneous storage architectures, such as relational databases …
database models on heterogeneous storage architectures, such as relational databases …
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 …