Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
INTRODUCTION: Although many young people attempt to quit vaping nicotine, limited evidence exists on...
Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatm...
Although lymphovascular invasion is a major predictor of bladder urothelial carcinoma, postoperative...
OBJECTIVE: To develop and evaluate deep learning models for upper abdominal ultrasound standard sect...
BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...
Automated segmentation of PDAC is a prerequisite to realize the promise of precision oncology, yet e...
BACKGROUND: Pancreatic adenocarcinoma (PAAD) has an extremely poor prognosis, and existing prognosti...
Integrating desired multifunctional properties into self-powered sensors working under extreme envir...
BACKGROUND: Pancreatic cancer (PC) is a highly malignant tumor with increasing incidence, mortality,...
MRI and magnetic resonance cholangiopancreatography (MRCP) remain foundational techniques for the ev...
UNLABELLED: Pancreatic ductal adenocarcinoma (PDAC) evolves through precursors, yet the protein prog...
Min, Schweizer, and colleagues use artificial intelligence-powered deep visual proteomics to generat...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates ...
BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverage...
Protein-protein interactions (PPIs) are shaped by evolutionary pressures that fine-tune binding affi...
Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogenei...
OBJECTIVES: To develop and validate APEX-NET for early diagnosis and severity stratification of acut...
Of 269 pancreatic cancer multidisciplinary team cases, 125 complete structured cases were evaluated....
Endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition is the cornerstone fo...
Semi-supervised learning can reduce the dependence on large-scale labeled data in 3D medical image s...