Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...
Road traffic accidents (RTAs) in Northwest Ethiopia, a region with a fatality rate of 32.2 per 100,0...
The aim of this work is to develop a predictive model for electrospun based polyvinyl alcohol (PVA) ...
Pancreatic cancer (PC), often referred to as the "king of cancers", has demonstrated limited success...
Pancreatic cancer (PC) is a highly aggressive and fatal malignancy, primarily affecting older males....
PURPOSE: Pancreatic cancer (PC) is one of the most lethal malignancies, often presenting with nonspe...
Accurate segmentation of organs in the abdomen is a primary requirement for any medical analysis and...
BACKGROUND: This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because...
Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...
Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...
BACKGROUND: There are significant sex differences in the causes and consequences of alcohol misuse, ...
BACKGROUND: This multicenter study aimed to develop a deep learning-based autosegmentation model for...
Deep learning-based semantic segmentation approaches provide an efficient and automated means for ca...
Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...
BACKGROUND: Sarcopenia, defined as the progressive loss of skeletal muscle mass and function, has be...
IMPORTANCE: Although tumor-infiltrating lymphocytes (TILs) have been implicated as prognostic biomar...
Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical...
With the rapid development of modern medical technology,minimally invasive surgical procedures are p...
PURPOSE: To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection,...
AIM: This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) derived from...
Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...