Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 50,191 to 50,200 of 224,814 articles

Artificial intelligence for surgical care in war-torn sudan: Feasibility, barriers, and ethical perspectives from a conflict zone.

Surgery in practice and science Feb 15, 2026
BACKGROUND: Artificial intelligence (AI) offers transformative potential for clinical care, yet its deployment in conflict-affected, low-resource settings remains under-researched. This study evaluates AI awareness, barriers, and readiness among Suda... read more 

PriBeL-Net: Extending betel leaf dataset with CNN-based image classification.

MethodsX Feb 15, 2026
Deep learning is core to precision agriculture. In this research, the authors compare four deep-learning frameworks: MobileNetV2, EfficientNetB0, ResNet50V2, and DenseNet121, on a custom dataset under controlled and on-field environments. Whereas Mob... read more 

Proactive haemodynamic management using the hypotension prediction index during caesarean section: a randomised controlled study.

Anaesthesia Feb 15, 2026
INTRODUCTION: Intra-operative hypotension is common during caesarean section and may result in adverse maternal effects, such as nausea and vomiting. While oscillometric blood pressure and continuous non-invasive arterial pressure monitoring enable r... read more 

The Anti-proliferative and Pro-apoptotic Effects of Iranian Viper Venom (Vipera raddei kurdistanica) on Human Gastric Cancer Cells (C615) are Mediated by PI3K/AKT/mTOR Signalling Pathway Inhibition.

Cell journal Feb 15, 2026
OBJECTIVE: Gastric cancer (GC) is one of the most common malignancies worldwide. Since the PI3K/AKT/mTOR signalling pathway plays a crucial role in tumour growth and survival, this study aims to evaluate the anti-proliferative and pro-apoptotic effec... read more 

Predicting the magnitude of risk for non-curative endoscopic submucosal dissection in superficial esophageal cancer using explainable artificial intelligence.

World journal of gastrointestinal oncology Feb 15, 2026
BACKGROUND: Endoscopic submucosal dissection (ESD) serves as a critical treatment modality for superficial esophageal cancer. However, non-curative resection is significantly associated with residual tumors and unfavorable prognosis. Effective preope... read more 

Deep learning in lower gastrointestinal cancer detection: Advances in endoscopic, radiologic, and histopathologic diagnostics.

World journal of gastrointestinal oncology Feb 15, 2026
Gastrointestinal (GI) cancers, particularly colorectal cancer, continue to be a major contributor to global cancer-related morbidity and mortality. Despite significant advancements in screening protocols and treatment strategies, early detection rema... read more 

Risk prediction for chronic atrophic gastritis using a random forest model: A multicenter study.

World journal of gastrointestinal oncology Feb 15, 2026
BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric cancer (GC). CAG often lacks typical symptoms in its early stages, and clinical diagnosis relies on gastroscopy and pathological examination, which are in... read more 

Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions.

World journal of gastrointestinal oncology Feb 15, 2026
A core challenge in the diagnosis and treatment of esophageal cancer (EC) lies in accurately identifying patients who will benefit from neoadjuvant therapy (NAT). Yang et al reported a predictive model for NAT response in EC, constructed using radiom... read more 

Application value of multiphase contrast-enhanced computed tomography radiomics in preoperative evaluation of peritoneal metastasis in gastric cancer.

World journal of gastrointestinal oncology Feb 15, 2026
BACKGROUND: Peritoneal metastasis occurs in 10%-45% of gastric cancer patients and significantly impacts prognosis and treatment decisions. Traditional computed tomography (CT) imaging has limited sensitivity (60%-80%) for detecting early peritoneal ... read more 

Pioneering efficient deep learning architectures for enhanced hepatocellular carcinoma prediction and clinical translation.

World journal of gastrointestinal oncology Feb 15, 2026
BACKGROUND: Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide and is often diagnosed at advanced stages, reducing opportunities for curative treatment. Current screening tools, including ultrasonography with or wit... read more 
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