Gastroenterology

Incorporation of explainable artificial intelligence in ensemble machine learning-driven pancreatic cancer diagnosis.

Despite the strides made in medical science, pancreatic cancer continues to be a threat, highlightin...

Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination.

This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 an...

Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case-control study.

BACKGROUND: Autoantibodies represent promising diagnostic blood-based biomarkers that may be generat...

Bald eagle-optimized transformer networks with temporal-spatial mid-level features for pancreatic tumor classification.

The classification and diagnosis of pancreatic tumors present significant challenges due to their in...

Constructing a neural network model based on tumor-infiltrating lymphocytes (TILs) to predict the survival of hepatocellular carcinoma patients.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide, and ea...

Deep learning can predict cardiovascular events from liver imaging.

BACKGROUND & AIMS: Cardiovascular mortality remains the leading cause of death and a significant sou...

Nuciferine activates intestinal TAS2R46 to attenuate metabolic disorders and hyperlipidemia via hepatic VLDL regulation.

BACKGROUND: Dysregulated blood lipid metabolism, a primary driver of hyperlipidemia, is closely asso...

Recent advances in therapeutic probiotics: insights from human trials.

SUMMARYRecent advances in therapeutic probiotics have shown promising results across various health ...

Artificial intelligence systems for endoscopic diagnosis of autoimmune atrophic gastritis: opportunities and limits.

Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.

The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointe...

Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods.

Background This investigation delves into the potential application of data-driven survival modeling...

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

BACKGROUND/OBJECTIVES: Obesity is a global health issue, and in this context, bariatric surgery is c...

Deconvolution of cell types and states in spatial multiomics utilizing TACIT.

Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biolog...

Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types.

Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural ...

In-silico investigation integrated with machine learning to identify potential inhibitors targeting AKT2: Key driver of cancer cell progression and metastasis.

BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AK...

Artificial neural network model enhancing the accuracy of clinical evaluation for high-risk population of lymph node metastasis in non-intestinal type early gastric cancer: a multicenter real-world study in China.

BACKGROUND: Recent years have witnessed a proliferation of studies aimed at developing clinical mode...

Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy.

Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of va...

Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error...

ASS1 is a hub gene and possible therapeutic target for regulating metabolic dysfunction-associated steatotic liver disease modulated by a carbohydrate-restricted diet.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liv...

Conversion of Mixed-Language Free-Text CT Reports of Pancreatic Cancer to National Comprehensive Cancer Network Structured Reporting Templates by Using GPT-4.

OBJECTIVE: To evaluate the feasibility of generative pre-trained transformer-4 (GPT-4) in generating...