Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

Rationale and Objectives More pulmonary nodules (PNs) have been detected with the wide
application of computed tomography (CT) in lung cancer screening. Radiomics is a …

Purpose Consolidation immunotherapy after completion of chemoradiotherapy has become
the standard of care for unresectable locally advanced non‐small cell lung cancer and can …

Radiomics analysis quantifies the interpolation of multiple and invisible molecular features
present in diagnostic and therapeutic images. Implementation of 18-fluorine …

The technical landscape of clinical machine learning is shifting in ways that destabilize
pervasive assumptions about the nature and causes of algorithmic bias. On one hand, the …

A Novel Deep Learning Model to Distinguish Malignant Versus Benign Solid Lung Nodules -
PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

Increasingly, quantitative lung computed tomography (qCT)-derived metrics are providing
novel insights into chronic inflammatory lung diseases, including chronic obstructive …

This study aimed to explore the ability of combination model of ultrasound radiomics score
(Rad-score) and the thyroid imaging, reporting and data system by the American College of …

Studies performed during the 1940s–1960s continue to serve as the foundation of the
epidemiology of histoplasmosis given that many knowledge gaps persist regarding its …

Background Chest computed tomography (CT) is a critical tool in the diagnosis of pulmonary
cryptococcosis as approximately 30% of normal immunity individuals may not exhibit any …