Peptic Ulcer Disease

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during endoscopy, with the goal of enhancing diagnostic precision. METHODS: This was a multicenter, retrospective study collecting endoscopic images and videos from four tertiary hospitals in China. An improved YOLOv8 model, incorporating an illumination at...

CAD-SEL: A dual-modal colonoscopy dataset of subepithelial lesion.

Subepithelial lesions (SELs) of the gastrointestinal tract encompass a heterogeneous spectrum of histology, ranging from benign to malignant. Their detection during colonoscopy is critical yet challenging, as endoscopic interpretation is highly operator-dependent with variable diagnostic performance. Artificial intelligence (AI) offers great promise for assisting endoscopists in SEL detection and ...

Interpretable LightGBM model for predicting postoperative gastrointestinal hemorrhage in elderly hip fracture patients: leveraging systemic inflammation and medication exposures for personalized risk stratification.

BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fracture surgery in older adults, yet perioperative risk ...

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...

Impact of Artificial Intelligence-Assisted Endoscopy on Screening for Upper Gastrointestinal Cancer in a Large-Scale Health Screening Facility.

OBJECTIVES: Artificial intelligence (AI)-assisted endoscopy has been developed for the early detection of upper gastrointestinal cancer; however, its ...

Artificial Intelligence-Based Analysis of Laparoscopic Imaging for Intraoperative Surgical Decision Support.

Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard technique, as it is associated with less trauma, reduced ...

[Dynamic assessment of upper airway in obstructive sleep apnea patients with a focus on drug-induced sleep endoscopy].

The key pathophysiological feature of obstructive sleep apnea（OSA） is dynamic collapse of the upper airway during sleep. Polysomnography（PSG） and awak...

Performance of large language models and clinical decision support in perioperative management of oral anticoagulants.

BACKGROUND: Perioperative anticoagulant management is critical because of the competing risks of ischemia and bleeding. Large language models (LLMs) a...

Co-research in the development of AI and digital health tools for cancer management and care: a systematic review.

BACKGROUND: Participatory approaches (including co-research, co-design, Patient and Public Involvement [PPI], and Participatory Action Research [PAR])...

Artificial Intelligence at the Service of the ENT: A New Perspective on Tympanic Membrane Perforations.

In this study, we present an innovative approach in medicine, leveraging the potential of artificial intelligence (AI) for the diagnosis of tympanic m...

Pleiotropy and disease interactors: the dual nature of genes linking ageing and ageing-related diseases.

Ageing-related diseases (ARDs) display diverse phenotypes yet share an age-dependent rise in incidence, suggesting mechanistic links with ageing proce...

Deep learning-based automatic scoring of drug-induced sleep endoscopy in obstructive sleep apnea.

Polysomnography is the standard tool for assessing obstructive sleep apnea (OSA) severity; however, it does not provide information regarding the anat...

Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models.

Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are tr...

A novel system design for monocular laser assisted capsule endoscopy for 3D small bowel modeling.

The long, tortuous, and tissue-homogeneous structure of the small bowel makes image-based three-dimensional (3D) modeling studies technically complex....

Harnessing Artificial Intelligence for the Management of Patients With GI Cancers.

Artificial intelligence (AI) has the potential of reshaping GI oncology by enabling more nuanced interpretation of complex clinical, imaging, and mole...

Machine Learning Prediction of Hospital Stay in Pediatric Typhoid Intestinal Perforation: Pilot Study.

INTRODUCTION: Typhoid intestinal perforation (TIP) remains a significant cause of pediatric morbidity in resource-limited settings, with prolonged hos...

The role of large language models in the diagnosis and management of obstetric patients: a pilot feasibility study using simulated obstetric cases.

OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making i...

Standardized scoring systems-essential for the AI Era in small-bowel capsule endoscopy.

Machine learning constructs a diagnostic prediction model for gangrenous perforation of acute appendicitis in elderly patients.

Biomarkers of mitochondrial dynamics in idiopathic pulmonary fibrosis: Identification and validation through transcriptomic and single-cell analyses.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrotic lung disease that has increasingly been associated with dysregulated mitocho...