Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment

Radiology: Artificial Intelligence · Published 2026-06-24 · DOI 10.1148/ryai.250731

Free full text

Authors (6)

Han-Jay Shu, Shun-Ting Chang, Rodrigo Rosa Gameiro, Judy Gichoya, Leo Anthony Celi, Po‐Chih Kuo

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Shu, H., Chang, S., Gameiro, R., et al. (2026). Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment. Radiology: Artificial Intelligence. https://doi.org/10.1148/ryai.250731

Related articles

• Commercial AI Model Diagnostic Accuracy for Intracranial Large- and Medium-Vessel Occlusion at Emergency CT Angiography · Radiology: Artificial Intelligence · 2026 · Same journal
• AI Triage of Normal Chest Radiographs: A Silent Trial and Failure Analysis · Radiology: Artificial Intelligence · 2026 · Same journal
• Open-Source Dataset for the RSNA Screening Mammography Cancer Detection Challenge · Radiology: Artificial Intelligence · 2026 · Same journal
• From Futile to Feasible: Improving Assessment of Stenosis in Heavily Calcified Coronary Arteries · Radiology: Artificial Intelligence · 2026 · Same journal
• Development and Validation of a Deep Learning–enabled Single Breath-hold Abbreviated MRI Protocol for Hepatocellular Carcinoma Diagnosis · Radiology: Artificial Intelligence · 2026 · Same journal
• Tumor-preserving Deformable Registration of Longitudinal DCE Breast MRI during Neoadjuvant Chemotherapy · Radiology: Artificial Intelligence · 2026 · Same journal
• Clinic-aligned Dual Distillation of Video and Image Foundation Models for Automated Breast Cancer US Diagnosis · Radiology: Artificial Intelligence · 2026 · Same journal
• Editor’s Recognition Awards · Radiology: Artificial Intelligence · 2026 · Same journal
• Fetal Brain in B-Mode: AIRFRAME Model Takes on Posterior Fossa Malformation Detection · Radiology: Artificial Intelligence · 2026 · Same journal
• Externally Tested AI for Lung Nodule Classification: A Realistic Benchmark for an Emerging Screening Era · Radiology: Artificial Intelligence · 2026 · Same journal