Latest AI and machine learning research in other cancers for healthcare professionals.
PURPOSE: Radiological follow-up of oncology patients requires the detection of metastatic lung lesio...
OBJECTIVES: This study aimed to develop an artificial intelligence-assisted model for the preoperati...
Cancer treatment has made significant advancements in recent decades, however many patients still ex...
Advancements in Artificial Intelligence (AI) are driving a paradigm shift in the field of medical di...
Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge, necessitating...
CDK4/6 inhibitors in combination with endocrine therapy are widely used to treat HR+/HER2- metastati...
More than 90% of deaths due to breast cancer (BC) are due to metastasis-related complications, with ...
BACKGROUND: Gallbladder (GB) adenomas, precancerous lesions for gallbladder carcinoma (GBC), lack re...
BACKGROUND: The pathogenesis and progression of renal cell carcinoma (RCC) involve complex programme...
OBJECTIVES: We aimed to examine the predictive accuracy of functioning, relapse or remission among p...
OBJECTIVE: We aimed to develop a preoperative clinical radiomics survival prediction model based on ...
Anti-angiogenic peptides (AAPs) show important potential in tumor therapy by limiting the growth and...
PURPOSE: This meta-analysis aims to evaluate the diagnostic performance of CT-based artificial intel...
Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for pat...
PURPOSE: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radio...
Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...
As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has inc...
Keratinocyte carcinoma, including basal cell and squamous cell carcinoma, is the most prevalent form...
Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...
With the intensification of population aging, the proportion of elderly breast cancer patients is co...
PURPOSE: To develop MRI-based deep learning (DL) models for distinguishing sinonasal squamous cell c...