Radiomics is a relatively new word for the field of radiology, meaning the extraction of a high
number of quantitative features from medical images. Artificial intelligence (AI) is broadly a …

With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

Background Radiomics-based biomarkers enable the prognostication of resected non–small
cell lung cancer (NSCLC), but their effectiveness in clinical stage and pathologic stage IA …

Objective To differentiate combined hepatocellular cholangiocarcinoma (cHCC-CC) from
cholangiocarcinoma (CC) and hepatocellular carcinoma (HCC) using machine learning on …

The spatial heterogeneity is an important indicator of the malignancy of lung nodules in lung
cancer diagnosis. Compared with 2D nodule CT images, the 3D volumes with entire nodule …

We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would
normally require intelligent action by a human. Much of the recent excitement about AI in the …

The present study aimed to explore the potential of artificial intelligence (AI) methodology
based on magnetic resonance (MR) images to aid in the management of prostate cancer …

Background The combination of immunotherapy and chemoradiotherapy has become the
standard therapeutic strategy for patients with unresected locally advance-stage non-small …

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

Background Lung cancer is the most commonly diagnosed cancer worldwide. Its survival
rate can be significantly improved by early screening. Biomarkers based on radiomics …