CT Radiomics Shows Higher Apparent Prognostic Discrimination in Severe Pneumonia Study
A single-center derivation study found that CT radiomics yielded higher apparent prognostic discrimination for severe pneumonia than metagenomic sequencing or ...
A single-center derivation study found that CT radiomics yielded higher apparent prognostic discrimination for severe pneumonia than metagenomic sequencing or ...
A reanalysis of non-small cell lung cancer data indicates that CT radiomics and frozen deep learning models provide no stable ...
A retrospective bicentric study of 158 metastatic melanoma patients found that CT radiomics offered no conclusive improvement over simple tumor ...
A combined CT radiomics and clinical machine-learning model predicted the need for repeat bronchoalveolar lavage in children with mycoplasma pneumoniae ...
A retrospective study of 357 patients found limited direct links between smoking status and metastatic lung adenocarcinoma imaging features, while ...
A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from invasive adenocarcinoma with ...
Invasive lung adenocarcinoma (LUAD) continues to represent a significant challenge in oncology, primarily due to its aggressive nature and the ...
In a groundbreaking advancement at the intersection of medical imaging and artificial intelligence, researchers have unveiled an interpretable machine learning ...
In the rapidly evolving domain of oncology and medical imaging, the precision of preoperative assessments stands as a critical determinant ...
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