Latest AI and machine learning research in other cancers for healthcare professionals.
Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notabl...
Sleep is essential for physical and mental health. Polysomnography (PSG) procedures are labour-inten...
PURPOSE: Deep learning (DL) is a state-of-the-art technique for developing artificial intelligence i...
The treatment of lateral pelvic lymph node (LPLN) metastasis of rectal cancer has evolved because of...
The objective of this study is to develop a radiomic signature constructed from deep learning featur...
Cervical lymph node metastases from head and neck squamous cell cancers significantly reduce disease...
BACKGROUND: Brain metastasis (BM) is a serious neurological complication of cancer of different orig...
Poor drug penetration in hypoxia area of solid tumor is a big challenge for intestinal tumor therapy...
To determine glioma grading by applying radiomic analysis or deep convolutional neural networks (DCN...
Breast cancer is the most common form of cancer and is still the second leading cause of death for w...
Lung cancer is a common malignant tumor disease with high clinical disability and death rates. Curre...
OBJECTIVE: To investigate the image quality and lesion conspicuity of a deep-learning-based contrast...
Robot-assisted thoracic surgery (RATS) for higher stages non-small cell lung carcinoma (NSCLC) remai...
PURPOSE: Whole-body bone scintigraphy (WBS) is one of the most widely used modalities in diagnosing ...
PURPOSE: Classical prognostic indicators of head and neck squamous cell carcinoma (HNSCC) can no lon...
Segmenting the liver and tumor regions using CT scans is crucial for the subsequent treatment in cli...
RATIONALE AND OBJECTIVES: Preoperative prediction of the recurrence risk in patients with advanced s...
BACKGROUND: von Hippel-Lindau syndrome (VHL) is an autosomal dominant hereditary syndrome with an in...
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly ev...
OBJECTIVES: This study aimed to investigate whether a deep learning (DL) model based on preoperative...
Based on the advantages of revealing the functional status and molecular expression of tumor cells, ...