Latest AI and machine learning research in other cancers for healthcare professionals.
The development of precision medicine in oncology to define profiles of patients who could benefit f...
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implication...
Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar ...
The significance of pan-cancer categories has recently been recognized as widespread in cancer resea...
Molecular heterogeneities and complex microenvironments bring great challenges for cancer diagnosis ...
The multi-omics molecular characterization of cancer opened a new horizon for our understanding of c...
Rectal magnetic resonance imaging (MRI) is the preferred method for the diagnosis of rectal cancer a...
BACKGROUND: Images from magnetic resonance imaging (MRI) are crucial unstructured data for prognosti...
OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) i...
To compare the postoperative outcomes and urinary continence recovery time between standard robotic...
BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured wit...
Artificial intelligence has been applied to histopathology for decades, but the recent increase in i...
The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rect...
While robot-assisted radical cystoprostatectomy (RARC) for locally advanced prostate cancer (LAPC) m...
To evaluate the clinical features, surgical effects and factors that may affect prognosis of muscul...
Swimming biohybrid microsized robots (e.g., bacteria- or sperm-driven microrobots) with self-propell...
China is a country with high incidence of esophageal cancer. Advanced esophageal cancer not only bri...
Modern machine learning techniques (such as deep learning) offer immense opportunities in the field ...
Recently, radiomics and deep learning have gained attention as methods for computerized image analys...
Despite recent improvements in therapeutic interventions, hepatocellular carcinoma is still associat...
PURPOSE: The Bone Metastases Ensemble Trees for Survival (BMETS) model uses a machine learning algor...