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A unified multi-task framework enables interpretable chest radiograph analysis

delete2026-07-10
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PRE
AI
L
Lijian Xu *
Z
Ziyu Ni
X
Xinglong Liu
H
Hongsheng Li *
S
Shaoting Zhang
DOI:10.1016/j.medj.2026.101223delete
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Abstract

Abstract

En 中文
• A unified multi-task transformer for chest X-ray analysis was proposed • It links disease recognition, attributes, and evidence-based reporting • It achieves competitive performance across ten chest X-ray benchmarks • Radiologists rated 66% of AI reports comparable to or better than clinical reports

Journal

Med cover
Med
IF:
11.8
Papers:
771
Citations:
2.2K

Organization

S
shenzhen university of advanced technology
Scholars:
281
Papers: 198
Citations: 0
T
the chinese university of hong kong
Scholars:
3.4K
Papers: 1.6K
Citations: 0
S
Shanghai Artificial Intelligence Laboratory
Scholars:
450
Papers: 251
Citations: 765
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