Cover Image

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Qingqing, Chen, Xiuying, Jin, Qiao, Hou, Benjamin, Mathai, Tejas Sudharshan, Mukherjee, Pritam, Gao, Xin, Summers, Ronald M, Lu, Zhiyong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
by: Zhu, Qingqing, et al.
Published: (2024)

Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost
by: Hou, Benjamin, et al.
Published: (2025)

Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
by: Prasad, Anisa V., et al.
Published: (2025)

Longitudinal Assessment of Lung Lesion Burden in CT
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

Text Embedded Swin-UMamba for DeepLesion Segmentation
by: Cheng, Ruida, et al.
Published: (2025)

Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
by: Wang, Xinya, et al.
Published: (2025)

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study
by: Hou, Benjamin, et al.
Published: (2024)

Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification
by: Hou, Benjamin, et al.
Published: (2024)

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024)

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
by: Erickson, Peter D., et al.
Published: (2025)

Automated classification of multi-parametric body MRI series
by: Kim, Boah, et al.
Published: (2024)

Weakly-Supervised Detection of Bone Lesions in CT
by: Sheng, Tao, et al.
Published: (2024)

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
by: Zhuang, Yan, et al.
Published: (2024)

Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging
by: Shieh, Alexander, et al.
Published: (2025)

3D Universal Lesion Detection and Tagging in CT with Self-Training
by: Frazier, Jared, et al.
Published: (2025)

Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI
by: Tran, Nicole, et al.
Published: (2025)

Classification of Multi-Parametric Body MRI Series Using Deep Learning
by: Kim, Boah, et al.
Published: (2025)

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
by: Oluigboa, David C., et al.
Published: (2024)

Automated Plaque Detection and Agatston Score Estimation on Non-Contrast CT Scans: A Multicenter Study
by: Nguyen, Andrew M., et al.
Published: (2024)

Learning to Segment Corneal Tissue Interfaces in OCT Images
by: Mathai, Tejas Sudharshan, et al.
Published: (2018)

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
by: Lanfredi, Ricardo Bigolin, et al.
Published: (2024)

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching
by: Li, Mingzhe, et al.
Published: (2025)

Flexible and Adaptable Summarization via Expertise Separation
by: Chen, Xiuying, et al.
Published: (2024)

CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography
by: Zhu, Qingqing, et al.
Published: (2026)

Utility of Pancreas Surface Lobularity as a CT Biomarker for Opportunistic Screening of Type 2 Diabetes
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT
by: Toma, Tanjin Taher, et al.
Published: (2025)

Radiologist Copilot: An Agentic Framework Orchestrating Specialized Tools for Reliable Radiology Reporting
by: Yu, Yongrui, et al.
Published: (2025)

Act Like a Radiologist: Radiology Report Generation across Anatomical Regions
by: Chen, Qi, et al.
Published: (2023)

Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark
by: Chen, Xiuying, et al.
Published: (2024)

Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization
by: Chen, Xiuying, et al.
Published: (2024)

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection
by: Hou, Wenjun, et al.
Published: (2025)

MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
by: Xing, Qilong, et al.
Published: (2025)

Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction
by: Awasthi, Akash, et al.
Published: (2024)

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation
by: Wang, Zilong, et al.
Published: (2024)

Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare
by: Yang, Yifan, et al.
Published: (2024)

Public health and education spending in Ghana in 1992-98 : issues of equity and efficiency / Sudharshan Canagarajah, Xiao Ye
by: Canagarajah, Sudharshan
Published: (2001)

The evolution of poverty and welfare in Nigeria, 1985-92 / Sudharshan Canagarajan, John Ngwafon, Saji Thomas
by: Canagarajan, Sudharshan
Published: (1997)

Ghana's labor market (1987-92) / Sudharshan Canagarajah, Saji Thomas
by: Canagarajah, Sudharshan
Published: (1997)