AIMC Topic: Gastrointestinal Neoplasms
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Transforming Gastrointestinal Diagnosis with Molecular Endoscopy: Challenges and Opportunities.
International journal of molecular sciences
May 18, 2025
Molecular endoscopy represents a transformative advance in the detection, diagnosis, and management of gastrointestinal diseases, addressing the critical limitations of conventional techniques. Current diagnostic standards, such as white light endosc...
Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis.
BMC gastroenterology
Apr 29, 2025
BACKGROUND AND AIM: Artificial intelligence (AI) networks offer significant potential for predicting immunotherapy outcomes in gastrointestinal cancers by analyzing genetic mutation profiles. Their application in prognosis remains underexplored. This...
Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology.
Journal of translational medicine
Apr 9, 2025
BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, often diagnosed at advanced stages due to atypical early symptoms, causing patients to miss optimal treatment opportunities. Traditional endoscopic and ...
Next questions on gastrointestinal stromal tumors: unresolved challenges and future directions.
Current opinion in oncology
Apr 4, 2025
PURPOSE OF REVIEW: Despite remarkable progress in the management of gastrointestinal stromal tumors (GISTs), critical challenges persist. Key aspects such as risk stratification, the optimal duration of adjuvant therapy, and strategies to enhance the...
A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images.
BMC medical informatics and decision making
Mar 31, 2025
Deep learning has significantly contributed to medical imaging and computer-aided diagnosis (CAD), providing accurate disease classification and diagnosis. However, challenges such as inter- and intra-class similarities, class imbalance, and computat...
Prediction model of gastrointestinal tumor malignancy based on coagulation indicators such as TEG and neural networks.
Frontiers in immunology
Mar 25, 2025
OBJECTIVES: Accurate determination of gastrointestinal tumor malignancy is a crucial focus of clinical research. Constructing coagulation index models using big data is feasible to achieve this goal. This study builds various prediction models throug...
Advanced NLP-driven predictive modeling for tailored treatment strategies in gastrointestinal cancer.
SLAS technology
Mar 6, 2025
Gastrointestinal cancer represents a significant health burden, necessitating innovative approaches for personalized treatment. This study aims to develop an advanced natural language processing (NLP)-driven predictive modeling framework for tailored...
RTGN: Robust Traditional Chinese Medicine Graph Networks for Patient Similarity Learning.
IEEE journal of biomedical and health informatics
Mar 6, 2025
Traditional Chinese Medicine (TCM) boasts a long history and a unique diagnostic and therapeutic paradigm. Integrating TCM with Western medicine and modern medical devices has yielded numerous successful cases in recent years. TCM treatment has devel...
A deep-learning model for predicting tyrosine kinase inhibitor response from histology in gastrointestinal stromal tumor.
The Journal of pathology
Feb 14, 2025
Over 90% of gastrointestinal stromal tumors (GISTs) harbor mutations in KIT or PDGFRA that can predict response to tyrosine kinase inhibitor (TKI) therapies, as recommended by NCCN (National Comprehensive Cancer Network) guidelines. However, gene seq...
Male
Middle Aged
Treatment Outcome
Mutation
Deep Learning
Humans
Female
Aged
Pyrroles
Triazines
Imatinib Mesylate
Tyrosine Kinase Inhibitors
Gastrointestinal Neoplasms
Proto-Oncogene Proteins c-kit
Pyrazoles
Receptor, Platelet-Derived Growth Factor alpha
Gastrointestinal Stromal Tumors
Protein Kinase Inhibitors
Artificial intelligence in gastrointestinal cancer research: Image learning advances and applications.
Cancer letters
Feb 12, 2025
With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, large language models, and neural networks, these methodologies are increasingly being developed and integrated into cancer research. Gastrointestinal t...
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