Cover Image

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiaoman, Zhou, Hong-Yu, Yang, Xiaoli, Banerjee, Oishi, Acosta, Julián N., Miller, Josh, Huang, Ouwen, Rajpurkar, Pranav
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
by: Zhang, Xiaoman, et al.
Published: (2025)

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
by: Zhang, Xiaoman, et al.
Published: (2024)

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
by: Banerjee, Oishi, et al.
Published: (2024)

FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
by: Huang, Alyssa, et al.
Published: (2024)

ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
by: Rao, Vishwanatha M., et al.
Published: (2024)

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
by: Hardy, Romain, et al.
Published: (2024)

ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
by: Kenia, Roshan, et al.
Published: (2025)

The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports
by: Acosta, Julián N., et al.
Published: (2024)

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
by: Baharoon, Mohammed, et al.
Published: (2026)

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
by: Zhang, Serena, et al.
Published: (2024)

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
by: Heiman, Alice, et al.
Published: (2024)

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
by: Banerjee, Oishi, et al.
Published: (2024)

ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding
by: Wang, Xucheng, et al.
Published: (2026)

ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding
by: Banerjee, Oishi, et al.
Published: (2026)

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
by: Acosta, Julián N., et al.
Published: (2024)

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment
by: Acosta, Julian, et al.
Published: (2025)

Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
by: Yuan, Grace Chang, et al.
Published: (2026)

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding
by: Pal, Ankit, et al.
Published: (2025)

RaTEScore: A Metric for Radiology Report Generation
by: Zhao, Weike, et al.
Published: (2024)

MedVersa: A Generalist Foundation Model for Medical Image Interpretation
by: Zhou, Hong-Yu, et al.
Published: (2024)

ReXplain: Translating Radiology into Patient-Friendly Video Reports
by: Luo, Luyang, et al.
Published: (2024)

a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions
by: Rajpurkar, Pranav, et al.
Published: (2024)

MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
by: Asiimwe, Arnold Caleb, et al.
Published: (2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
by: Li, Haonan, et al.
Published: (2024)

Evaluating Contextual Intelligence in Recyclability: A Comprehensive Study of Image-Based Reasoning Systems
by: Park, Eliot, et al.
Published: (2025)

RadGame: An AI-Powered Platform for Radiology Education
by: Baharoon, Mohammed, et al.
Published: (2025)

ColonCrafter: A Depth Estimation Model for Colonoscopy Videos Using Diffusion Priors
by: Hardy, Romain, et al.
Published: (2025)

Instruction Finetuning for Leaderboard Generation from Empirical AI Research
by: Kabongo, Salomon, et al.
Published: (2024)

Improving Medical Visual Representations via Radiology Report Generation
by: Quigley, Keegan, et al.
Published: (2023)

Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
by: Khanna, Sameer, et al.
Published: (2024)

Calibrated Confidence Expression for Radiology Report Generation
by: Bani-Harouni, David, et al.
Published: (2026)

ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
by: Liu, Yunyi, et al.
Published: (2024)

Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting
by: Verdone, Antonio, et al.
Published: (2025)

League: Leaderboard Generation on Demand
by: Wu, Jian, et al.
Published: (2025)

LEGOBench: Scientific Leaderboard Generation Benchmark
by: Singh, Shruti, et al.
Published: (2024)

Radiology Report Generation for Low-Quality X-Ray Images
by: Zhu, Hongze, et al.
Published: (2026)

MAIRA-2: Grounded Radiology Report Generation
by: Bannur, Shruthi, et al.
Published: (2024)

3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models
by: Sambara, Sraavya, et al.
Published: (2025)

Automated Structured Radiology Report Generation
by: Delbrouck, Jean-Benoit, et al.
Published: (2025)

Open FinLLM Leaderboard: Towards Financial AI Readiness
by: Lin, Shengyuan Colin, et al.
Published: (2025)