AIMC Topic: Stomach Neoplasms

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GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.

Briefings in bioinformatics
Predicting disease-related long non-coding RNAs (lncRNAs) is beneficial to finding of new biomarkers for prevention, diagnosis and treatment of complex human diseases. In this paper, we proposed a machine learning techniques-based classification appr...

[Chinese expert consensus on intracorporeal digestive reconstruction after robotic gastrectomy (2021 edition)].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
The robotic surgical system applied to gastrectomy is regarded as a safe technique which has similar short- and long-term outcomes compared to laparoscopic and open gastrectomy. With the iteration of anastomotic staplers and improvement of anastomoti...

Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer.

World journal of gastroenterology
The landscape of gastrointestinal endoscopy continues to evolve as new technologies and techniques become available. The advent of image-enhanced and magnifying endoscopies has highlighted the step toward perfecting endoscopic screening and diagnosis...

Artificial intelligence technologies empowering identification of novel diagnostic molecular markers in gastric cancer.

Indian journal of pathology & microbiology
In recent clinical practice the molecular diagnostics have been significantly empowered and upgraded by the use of Artificial Intelligence and its assisted technologies. The use of Machine leaning and Deep Learning Neural network architectures have b...

Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.

The Lancet. Digital health
BACKGROUND: The tumour stroma microenvironment plays an important part in disease progression and its composition can influence treatment response and outcomes. Histological evaluation of tumour stroma is limited by access to tissue, spatial heteroge...

Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.

The British journal of surgery
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. ...

Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images.

Technology in cancer research & treatment
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incidence. It tends to be more difficult to detect by pathologists, mainly due to its cellular morphology and diffuse invasion manner, and it has poor prog...

Artificial intelligence in upper GI endoscopy - current status, challenges and future promise.

Journal of gastroenterology and hepatology
White-light endoscopy with biopsy is the current gold standard modality for detecting and diagnosing upper gastrointestinal (GI) pathology. However, missed lesions remain a challenge. To overcome interobserver variability and learning curve issues, a...