Gastroenterology

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors.

Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There are two main challenges in liver transplant: finding the best matching patient for a donor and ensuring transplant equity among different subpopulations. The current MELD scoring system evaluates a patient's mortality risk if not receiving an organ within 90 days. However, the donor-patient matching s...

Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected late and at an inoperable stage. Early or incidental detection is associated with prolonged survival, but screening asymptomatic individuals for PDAC using a single test remains unfeasible due to the low prevalence and potential harms of false positives. Non-contrast computed tomography (CT), routinely...

Comment on "Robotic surgery and liver transplantation: A single-center experience of 501 robotic donor hepatectomies".

Consumption of hot protein-containing drink accelerates gastric emptying rate and is associated with higher hunger levels in older adults.

Meal temperature is known to affect gastric emptying and appetite. While protein intake is recommended for older age, gastric emptying is delayed with...

Should All Pancreatic Cystic Lesions with Worrisome or High-Risk Features Be Resected? A Clinical and Radiological Machine Learning Model May Help to Answer.

RATIONALE AND OBJECTIVES: According to current guidelines, pancreatic cystic lesions (PCLs) with worrisome or high-risk features may have overtreatmen...

Impact of thoracic shape on the surgical outcomes of laparoscopic-assisted living donor hepatectomy.

BACKGROUND: Although laparoscopic-assisted donor hepatectomy (LADH) has become the definitive procedure for harvesting living donor livers, its surgic...

Application of natural language processing to post-structuring of rectal cancer MRI reports.

AIM: To evaluate a natural language processing (NLP) system for extracting structured information from the free-form text of rectal cancer magnetic re...

Prediction and related genes of cancer distant metastasis based on deep learning.

Cancer metastasis is one of the main causes of cancer progression and difficulty in treatment. Genes play a key role in the process of cancer metastas...

COVID-19 Vaccination in Liver Cirrhosis: Safety and Immune and Clinical Responses.

INTRODUCTION: Three years after the beginning of the SARS-CoV-2 pandemic, the safety and efficacy of COVID-19 vaccination in liver cirrhosis (LC) pati...

Prediction of histone deacetylase inhibition by triazole compounds based on artificial intelligence.

A quantitative structure-activity relationship (QSAR) study was conducted to predict the anti-colon cancer and HDAC inhibition of triazole-containing ...

Unplanned conversions of robotic pancreaticoduodenectomy: short-term outcomes and suggested stepwise approach for a safe conversion.

OBJECTIVE: With the increased adoption of robotic pancreaticoduodenectomy, the effects of unplanned conversions to an 'open' operation are ill-defined...

Robotic and laparoscopic sphincter-saving resections have similar peri-operative, oncological and functional outcomes in female patients with rectal cancer.

BACKGROUND: This study aimed to compare perioperative, long-term oncological, and anorectal functional outcomes of robotic total mesorectal excision (...

Machine Learning-based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

OBJECTIVE: The aim of this study was to develop a novel machine learning model to predict clinically relevant postoperative pancreatic fistula (CR-POP...

Deep learning-based vessel automatic recognition for laparoscopic right hemicolectomy.

BACKGROUND: In laparoscopic right hemicolectomy (RHC) for right-sided colon cancer, accurate recognition of the vascular anatomy is required for appro...

Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with advancements in medical technology and increasing ...

Using deep learning to assess the function of gastroesophageal flap valve according to the Hill classification system.

BACKGROUND: The endoscopic Hill classification of the gastroesophageal flap valve (GEFV) is of great importance for understanding the functional statu...

Research on image recognition of three Fritillaria cirrhosa species based on deep learning.

Based on the deep learning method, a network model that can quickly and accurately identify the species of Fritillaria cirrhosa species was constructe...

Development of a hybrid hydrogel for submucosal injection in endoscopic resection of gastrointestinal neoplasm: From laboratory to clinical trial.

Submucosal injection solution is essential for successful endoscopic resection of the early gastrointestinal tumor. We evaluated a new endoscopic hyd...

A survey on cancer detection via convolutional neural networks: Current challenges and future directions.

Cancer is a condition in which abnormal cells uncontrollably split and damage the body tissues. Hence, detecting cancer at an early stage is highly es...

Enhancing human-AI collaboration: The case of colonoscopy.

Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows promise in mitigating this burden by supporting Medic...