What We Left in the Chart: Rebuilding Clinical Context Using Large Language Models

Radiology · Published 2026-08-01 · DOI 10.1148/radiol.261918

Authors (2)

Enis C. Yilmaz, David R. Cardoza-Ochoa

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Yilmaz, E., Cardoza-Ochoa, D. (2026). What We Left in the Chart: Rebuilding Clinical Context Using Large Language Models. Radiology. https://doi.org/10.1148/radiol.261918

Related articles

• Radiologically Relevant Clinical History Summarization with Large Language Models: A Multireader Performance Study · Radiology · 2026 · Cites or is cited by this article · Same journal
• SpaceXray: Feasibility and Diagnostic Capabilities of On-Orbit Medical Radiography · Radiology · 2026 · Same journal
• Entropy for Prediction of MACEs in Myocarditis: A Cardiac MRI–based Biomarker of Myocardial Tissue Heterogeneity · Radiology · 2026 · Same journal
• From Oceans to Orbit: Radiography at the Threshold of a New Human Environment · Radiology · 2026 · Same journal
• Noncontrast Abbreviated MRI for Post-TACE Treatment Response Monitoring of Hepatocellular Carcinoma Based on Ancillary Features from LI-RADS · Radiology · 2026 · Same journal
• Contrast-enhanced Mammography for Breast Cancer Screening in Women at Increased Risk: Comparison of Prevalence and Incidence Screens · Radiology · 2026 · Same journal
• Comparison of Second-line Hepatic Arterial Infusion Chemotherapy and Tyrosine Kinase Inhibitors in Advanced Hepatocellular Carcinoma · Radiology · 2026 · Same journal
• Plain Radiographs, Smarter Triage: Deep Learning and Clinical Context in Bone Tumor Assessment · Radiology · 2026 · Same journal
• Intravenous MR Lymphangiography: Feasibility in a Swine Model and Proof-of-Concept in Patients · Radiology · 2026 · Same journal
• MRI Characteristics of Ovarian Serous Surface Papillary Borderline Tumor · Radiology · 2026 · Same journal