AIMC Journal:
World journal of gastrointestinal oncology
Showing 1 to 9 of 9 articles
Longitudinal changes in body composition during palliative systemic chemotherapy and survival outcomes in metastatic colorectal cancer.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: In patients with metastatic colorectal cancer, chemotherapy may lead to changes in body composition, including skeletal muscle quantity and quality, and body fat area and distribution. Longitudinal follow-up data in a homogeneous populati...
Predicting gastric cancer survival using machine learning: A systematic review.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Gastric cancer (GC) has a poor prognosis, and the accurate prediction of patient survival remains a significant challenge in oncology. Machine learning (ML) has emerged as a promising tool for survival prediction, though concerns regardin...
Computed tomography-based deep learning radiomics model for preoperative prediction of tumor immune microenvironment in colorectal cancer.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer-related death globally, with the tumor immune microenvironment (TIME) influencing prognosis and immunotherapy response. Current TIME evaluation relies on invasive biopsies, limiting its...
Prediction of Ki-67 expression in hepatocellular carcinoma with machine learning models based on intratumoral and peritumoral radiomic features.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumours of the digestive system worldwide. The expression of Ki-67 is crucial for the diagnosis, treatment, and prognostic evaluation of HCC.
Research status and trends of deep learning in colorectal cancer (2011-2023): Bibliometric analysis and visualization.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Colorectal cancer (CRC) is the third-most prevalent cancer and the cancer with the second-highest mortality rate worldwide, representing a high public health burden. Deep learning (DL) offers advantages in the diagnosis, identification, l...
Research status and progress of deep learning in automatic esophageal cancer detection.
World journal of gastrointestinal oncology
May 15, 2025
Esophageal cancer (EC), a common malignant tumor of the digestive tract, requires early diagnosis and timely treatment to improve patient prognosis. Automated detection of EC using medical imaging has the potential to increase screening efficiency an...
Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic tools. Current survival prediction models are limited, and there is a need for more accurate, personalized methods. The Surveillance, Epidemiology, a...
Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer.
World journal of gastrointestinal oncology
May 15, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is a major global contributor to cancer-related mortality, with advanced stages presenting substantial therapeutic challenges. Although targeted immunotherapy shows potential, many patients exhibit poor resp...
Artificial intelligence as a predictive tool for gastric cancer: Bridging innovation, clinical translation, and ethical considerations.
World journal of gastrointestinal oncology
May 15, 2025
With gastric cancer ranking among the most prevalent and deadly malignancies worldwide, early detection and individualized prognosis remain essential for improving patient outcomes. This letter discusses recent advancements in artificial intelligence...
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