Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...
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...
With the rapid development of modern medical technology,minimally invasive surgical procedures are p...
Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical...
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...
OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial ...
BACKGROUND: Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient manage...
Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...
PURPOSE: This study aimed to compare three publicly available deep learning models (TotalSegmentator...
Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in dis...
Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in modern medicine, characterized ...
BACKGROUND: The in silico analyses provide evidence supporting the potential of methylation-driven d...
OBJECTIVE: Accurate segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding anatomic...
PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolut...
Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated...