The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Artificial intelligence (AI) is gradually changing medical practice. With recent progress in
digitized data acquisition, machine learning and computing infrastructure, AI applications …

Visual inspection of histopathology slides is one of the main methods used by pathologists
to assess the stage, type and subtype of lung tumors. Adenocarcinoma (LUAD) and …

In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Histopathology image evaluation is indispensable for cancer diagnoses and subtype
classification. Standard artificial intelligence methods for histopathology image analyses …

Radiomic analysis offers a powerful tool for the extraction of clinically relevant information
from radiologic imaging. Radiomics can be used to predict patient outcome through …

Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Every year, cancer is responsible for millions of deaths worldwide and, even though much
progress has been achieved in medicine, there are still many issues that must be addressed …

Advances in omics technologies—such as genomics, transcriptomics, proteomics and
metabolomics—have begun to enable personalized medicine at an extraordinarily detailed …

Traditional image-based survival prediction models rely on discriminative patch labeling
which make those methods not scalable to extend to large datasets. Recent studies have …