Gastroenterology

SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery.

Laparoscopic liver surgery is challenging to perform because of compromised ability of the surgeon t...

A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.

BACKGROUND: Accurate delineation of cancer margins is critical for endoscopic curative resection. Th...

Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.

BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but t...

An Invited Commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancers: A systematic review and meta-analysis" (Int. J. Surg. 2020; Epub ahead of print).

Robotically handled whole-tissue culture system for the screening of oral drug formulations.

Monolayers of cancer-derived cell lines are widely used in the modelling of the gastrointestinal (GI...

The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis.

BACKGROUND AND AIM: The utility of artificial intelligence (AI) in colonoscopy has gained popularity...

Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit.

BACKGROUND AND AIMS: Artificial intelligence (AI), specifically deep learning, offers the potential ...

Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.

BACKGROUND: Preoperative detection of lymph node (LN) metastasis is critical for planning treatments...

An invited commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis" (Int J Surg 2020; Epub ahead of print).

Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Deep learning is an innovative algorithm based on neural networks. Wireless cap...

Using Deep Learning for MRI to Identify Responders to Chemoradiotherapy in Rectal Cancer.

Deep learning-based liver segmentation for fusion-guided intervention.

PURPOSE: Tumors often have different imaging properties, and there is no single imaging modality tha...

Invited Commentary on "Long-term oncological outcomes in robotic versus laparoscopic approach for rectal cancer: A systematic review and meta-analysis".

Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.

PURPOSE: In selective internal radiation therapy (SIRT), an accurate total liver segmentation is req...

Submandibular gland excision: From external surgery to robotic intraoral and extraoral approaches.

Submandibular gland excision is generally performed through a transcervical approach, a safe procedu...

Hepatoprotective effects of chamazulene against alcohol-induced liver damage by alleviation of oxidative stress in rat models.

Liver injury and disease caused by alcohol is a common complication to human health worldwide. Chama...

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

BACKGROUND: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of ind...

Rapid screening of hepatitis B using Raman spectroscopy and long short-term memory neural network.

This study presents a rapid method to screen hepatitis B patients using serum Raman spectroscopy com...

A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.

PURPOSE: To develop and test a three-dimensional (3D) deep learning model for predicting 3D voxel-wi...

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.

Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...

Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severit...