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Article
| Open Access
Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data
Accurate diagnosis of interstitial lung disease subtypes and prediction of patient survival rates remains challenging. Here, the authors develop AI algorithms to combine patient’s clinical history and longitudinal CT images to help clinicians diagnose and classify subtypes and dynamically predict disease progression and prognosis.
- Xueyan Mei
- , Zelong Liu
- & Yang Yang
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Article
| Open Access
Emergency triage of brain computed tomography via anomaly detection with a deep generative model
Triage is essential for the early diagnosis and reporting of emergency patients in the emergency department. Here, the authors develop an anomaly detection algorithm with a deep generative model that reprioritizes radiology worklists and provides lesion attention maps for brain CT images with critical findings.
- Seungjun Lee
- , Boryeong Jeong
- & Namkug Kim
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Article
| Open Access
Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT
Computational decision support systems could provide clinical value in whole-body FDG PET/CT workflows, but labeled data is scarce and PET/CT imaging exams are cumbersome. Here, the authors describe a weak supervision framework that extracts regional abnormality labels from free-text radiology reports.
- Sabri Eyuboglu
- , Geoffrey Angus
- & Matthew P. Lungren
A multicenter clinical AI system study for detection and diagnosis of focal liver lesions