Peptic Ulcer Disease

[A Case of Sigmoid Colon Cancer with Simultaneous Solitary Adrenal Metastasis Refractory to Preoperative Diagnosis].

A 72-year-old man was referred to our urology department due to a giant adrenal tumor detected by computed tomography( CT). Endocrine screening showed that cortisol, renin, aldosterone, adrenaline, and noradrenaline levels were all normal, and there was no evidence of adrenal hyperfunction. The adrenal tumor was so large that we suspected malignancy. Contrast-enhanced CT of the abdomen was perform...

Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients.

<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology with vast potential for use in several fields of medicine. However, little is known about the application of AI in treatment decisions for patients with polytrauma. In this systematic review, we investigated the benefits and performance of AI in predicting the management of patients with polytrauma an...

Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

SUMMARY: Federated learning enables collaboration in medicine, where data is scattered across multiple centers without the need to aggregate the data ...

Deep learning to predict esophageal variceal bleeding based on endoscopic images.

OBJECTIVE: Esophageal varix (EV) bleeding is a particularly serious complications of cirrhosis. Prediction of EV bleeding requires extensive endoscopy...

Spatom: a graph neural network for structure-based protein-protein interaction site prediction.

Accurate identification of protein-protein interaction (PPI) sites remains a computational challenge. We propose Spatom, a novel framework for PPI sit...

Protein-protein interaction and site prediction using transfer learning.

The advanced language models have enabled us to recognize protein-protein interactions (PPIs) and interaction sites using protein sequences or structu...

ActivePPI: quantifying protein-protein interaction network activity with Markov random fields.

MOTIVATION: Protein-protein interactions (PPI) are crucial components of the biomolecular networks that enable cells to function. Biological experimen...

Artificial Intelligence in Inflammatory Bowel Disease Endoscopy: Implications for Clinical Trials.

Artificial intelligence shows promise for clinical research in inflammatory bowel disease endoscopy. Accurate assessment of endoscopic activity is imp...

[Robot-assisted Thoracic Surgery for Mediastinal Tumor].

In Japan, robot-assisted thoracic surgery (RATS) was introduced in thoracic surgery in 2001, but it did not become widespread. However, surgery for me...

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.

In this study a deep learning architecture based on a convolutional neural network has been evaluated for the classification of white light images of ...

Deep Learning in Colorectal Cancer Classification: A Scoping Review.

Colorectal cancer (CRC) is one of the most common cancers worldwide, and its diagnosis and classification remain challenging for pathologists and imag...

[Clinical effects of robot-assisted esophageal hiatal hernia repair and laparoscopic esophageal hiatal hernia repair: a retrospective comparative study].

To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal hernia. The clinical data of 56 patients underwen...

[The Digital Transformation(Dx)of Endoscopic Examinations].

Artificial intelligence(AI)and information and communication technology(ICT)are beginning to be used in the digital transformation of endoscopic image...

Management of anastomotic leakage after robot-assisted minimally invasive esophagectomy with an intrathoracic anastomosis.

Anastomotic leakage is a feared complication after esophagectomy and associated with increased post-operative morbidity and mrotality. The aim of this...

[Colorectal cancer: technological revolution].

Colorectal cancer represents 4500 incidental cases in Switzerland per year, with an incidence increasing among the youngest patients. Technological in...

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.

The application of artificial intelligence (AI) has great promise for improving pediatric endoscopy. The majority of preclinical studies have been und...

Research and application progress in deep learning in otology.

With the optimization of deep learning algorithms and the accumulation of medical big data, deep learning technology has been widely applied in resear...

PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk.

Post-translational modifications (PTMs) fine-tune various signaling pathways not only by the modification of a single residue, but also by the interpl...

Machine learning on protein-protein interaction prediction: models, challenges and trends.

Protein-protein interactions (PPIs) carry out the cellular processes of all living organisms. Experimental methods for PPI detection suffer from high ...

AFTGAN: prediction of multi-type PPI based on attention free transformer and graph attention network.

MOTIVATION: Protein-protein interaction (PPI) networks and transcriptional regulatory networks are critical in regulating cells and their signaling. A...