Human-in-the-Loop Large Language Model–Augmented Diagnostic Reasoning in Thoracic Imaging: Impact of Radiologic Expertise

American Journal of Roentgenology 2026

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Authors: Jiyoung Song, Hongseok Ko, Dae Hee Han, Eui Jin Hwang, H J Cho, Ji Young Lee, Won Gi Jeong, S Yoon, H Kim, Jiho Kim, Jongwoo Park, Jiyoon Park
+3 more Y G Son, Joo Eon Lee, T Lee
DOI: 10.2214/ajr.26.34999
Cited by: 3
References: 2

Abstract

The utility of human-in-the-loop workflows arises from dynamic reader-LLM interactions shaped by the expertise of the operator formulating model inputs and critically evaluating model outputs.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Pages
1–12
Publication date
20 May 2026
Language
EN