Cover Image

Evaluating Large Language Models for Zero-Shot Disease Labeling in CT Radiology Reports Across Organ Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Garcia-Alcoser, Michael E., GhojoghNejad, Mobina, Tushar, Fakrul Islam, Kim, David, Lafata, Kyle J., Rubin, Geoffrey D., Lo, Joseph Y.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tri-Reader: An Open-Access, Multi-Stage AI Pipeline for First-Pass Lung Nodule Annotation in Screening CT
by: Tushar, Fakrul Islam, et al.
Published: (2026)

iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models
by: Tushar, Fakrul Islam, et al.
Published: (2026)

What limits performance of weakly supervised deep learning for chest CT classification?
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation
by: Mouheb, Kaouther, et al.
Published: (2023)

Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Organ-Aware Attention Improves CT Triage and Classification
by: Dahal, Lavsen, et al.
Published: (2026)

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
by: Tushar, Fakrul Islam
Published: (2024)

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
by: Tushar, Fakrul Islam
Published: (2024)

Demographic Distribution Matching between real world and virtual phantom population
by: Ghosh, Dhrubajyoti, et al.
Published: (2025)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
by: Dahal, Lavsen, et al.
Published: (2024)

NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
by: Tushar, Fakrul Islam, et al.
Published: (2025)

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training
by: Tushar, Fakrul Islam, et al.
Published: (2025)

CCS: Clinical Consensus Selection for Radiology Report Generation
by: Zhang, Xi, et al.
Published: (2026)

A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
by: Kim, Songsoo, et al.
Published: (2025)

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
by: Dahal, Lavsen, et al.
Published: (2026)

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
by: Ewais, Ahmed, et al.
Published: (2026)

Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
by: Bergomi, Laura, et al.
Published: (2024)

A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
by: Akavarapu, V. S. D. S. Mahesh, et al.
Published: (2025)

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
by: Bhattacharjee, Payel, et al.
Published: (2025)

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models
by: Hacheme, Gilles Quentin, et al.
Published: (2025)

FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations
by: Lee, Yoonhyung, et al.
Published: (2026)

Zero-Shot Spam Email Classification Using Pre-trained Large Language Models
by: Rojas-Galeano, Sergio
Published: (2024)

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
by: Ma, Chong, et al.
Published: (2023)

CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report Summarization
by: Naznin, Mst. Fahmida Sultana, et al.
Published: (2025)

Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
by: A, Snegha, et al.
Published: (2025)

Pharos-ESG: A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Report
by: Chen, Yan, et al.
Published: (2025)

Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
by: Zhang, Bowen, et al.
Published: (2025)

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
by: Fane, Enfa, et al.
Published: (2025)

Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
by: Bucher, Martin Juan José, et al.
Published: (2024)

DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer
by: Simon, Sona Elza, et al.
Published: (2025)

CT-IDP: Segmentation-Derived Quantitative Phenotypes for Interpretable Abdominal CT Disease Classification
by: Dahal, Lavsen, et al.
Published: (2026)

The Utility of the Virtual Imaging Trials Methodology for Objective Characterization of AI Systems and Training Data
by: Tushar, Fakrul Islam, et al.
Published: (2023)

In-Context Fixation: When Demonstrated Labels Override Semantics in Few-Shot Classification
by: Liu, Ming
Published: (2026)

Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation
by: Salmanpour, Mohammad R., et al.
Published: (2025)

Prompting Encoder Models for Zero-Shot Classification: A Cross-Domain Study in Italian
by: Auriemma, Serena, et al.
Published: (2024)

Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
by: Hasan, Md. Arid, et al.
Published: (2023)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Physical oceanography during Walther Herwig I cruise WH27
by: Anonymous
Published: (2011)

Primary production within the euphotic layer of the Norwegian Sea in July 1997: measurements by different methods
by: Sapozhnikov, Victor V, et al.
Published: (2000)

SeamlessEdit: Background Noise Aware Zero-Shot Speech Editing with in-Context Enhancement
by: Chen, Kuan-Yu, et al.
Published: (2025)