Gastroenterology

Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer.

Esophageal cancer is a unique and complex heterogeneous malignancy, with substantial tumor heterogen...

An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.

BACKGROUND: Although the surgical treatment strategy for rectal cancer (RC) is usually based on the ...

Robotic Transanal Minimally Invasive Surgery (rTAMIS): Large Tubulovillous Adenoma.

Many transanal platforms have recently evolved to manage rectal pathologies. Transanal endoscopic mi...

Effect of a deep learning-based automatic upper GI endoscopic reporting system: a randomized crossover study (with video).

BACKGROUND AND AIMS: EGD is essential for GI disorders, and reports are pivotal to facilitating post...

Artificial intelligence to investigate predictors and prognostic impact of time to surgery in colon cancer.

BACKGROUND AND OBJECTIVES: The role of time to surgery (TTS) for long-term outcomes in colon cancer ...

Incorporating Artificial Intelligence Into Gastroenterology Practices.

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques.

Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of can...

Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.

. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures d...

Perioperative outcomes of robot-assisted versus laparoscopic liver resection for cavernous hemangioma: a propensity score matching study.

BACKGROUND: Minimally invasive techniques have increasingly been adopted for liver resection. This s...

Robotic rectal foreign body extraction - A video correspondence.

Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases.

Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past decade...

Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy.

Fast and accurate auto-segmentation is essential for magnetic resonance-guided adaptive radiation th...

Advanced Soft Robotic System for In Situ 3D Bioprinting and Endoscopic Surgery.

Three-dimensional (3D) bioprinting technology offers great potential in the treatment of tissue and ...

Technical modifications for cost optimization in robot-assisted ventral mesh rectopexy: an initial experience.

BACKGROUND: Robot-assisted ventral mesh rectopexy is considered a valid option in the treatment of r...

Contribution of Retzius-sparing robot-assisted radical prostatectomy to the mechanism of urinary continence as demonstrated by dynamic MRI.

Retzius-sparing robot-assisted radical prostatectomy (RARP) has been reported to exhibit better post...

Development and Validation of Deep Learning Models for the Multiclassification of Reflux Esophagitis Based on the Los Angeles Classification.

This study is to evaluate the feasibility of deep learning (DL) models in the multiclassification of...

Predicting the prognosis of lower rectal cancer using preoperative magnetic resonance imaging with artificial intelligence.

BACKGROUND: There are various preoperative treatments that are useful for controlling local or dista...

Hybrid laparoscopic versus fully robot-assisted minimally invasive esophagectomy: an international propensity-score matched analysis of perioperative outcome.

BACKGROUND: Currently, little is known regarding the optimal technique for the abdominal phase of RA...

Robot-Assisted Versus Laparoscopic Distal Pancreatectomy in Patients with Resectable Pancreatic Cancer: An International, Retrospective, Cohort Study.

BACKGROUND: Robot-assisted distal pancreatectomy (RDP) is increasingly used as an alternative to lap...

pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants.

Aqueous solubility is the most important physicochemical property for agrochemical and drug candidat...

A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses.

Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwi...