Most Cited Articles

Open access

ISSN: 2949-7523

Chat Generative Pre-Trained Transformer (ChatGPT) usage in healthcare

The potential application of ChatGPT in gastrointestinal pathology

Embracing the future of physician-patient communication: GPT-4 in gastroenterology

Role of chatbots on gastroenterology: Let's chat about the future

Drug-induced liver injury: An overview and update

Potential applications of ChatGPT in endoscopy: Opportunities and limitations

The dual role of LncRNAs in hepatocellular carcinoma: Friend and foe

Road of recovery in gastrointestinal surgery: From ERAS to FRAS

The application of chatbot in gastroenterology nursing

Gastro-esophageal reflux disease among the urban population of Saudi Arabia

Recent progress in gut microbiota

Attach importance to antiviral therapy in patients with hepatocellular carcinoma caused by hepatitis virus

Prevalence of knowledge and awareness about Helicobacter pylori infection among urban population of Kingdom of Saudi Arabia

Super minimally invasive surgery: New directions and new goals

Advancements in malnutrition in elderly inflammatory bowel disease patients

Refractory gastroesophageal reflux disease (GERD): A clinical, endoscopic, and histopathological perspective –a single centre cross-sectional study

Prevalence of peptic ulcer disease and its associated factors in Jeddah Saudi Arabia

Bacillus coagulans as a potent intervention for treating irritable bowel syndrome: A systematic review and meta-analysis of randomized control trials

Efficacy and safety of nab-paclitaxel chemotherapy for patients with gastric carcinoma: A systematic review and single arm meta-analysis

Endoscopic management of ingested foreign bodies in children: A tertiary center experience in Bangladesh

Impact of COVID-19 vaccines on liver function: A state of the art and challenges for healthcare providers

When the gut Speaks: The hidden toll of irritable bowel syndrome on body and mind

Efficacy and safety of EUS-guided cholecystolithotomy: A meta-analysis

Automated liver segmentation from CT images using modified ResUNet

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