Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, treatment guidance and response evaluation. To tackle challenges in precise biomarker detection in complex blood samples, we propose a metal-organic framework (MOF)-enhanced anti-fouling immunoprobe (MAIP). This sensing platform integrates several key features, including an anti-fouling surface, ful...
BACKGROUND: This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because of perceived improved efficacy in managing symptomatic kidney and liver cysts. We report technical aspects, change in short and long-term cyst volumes, patient reported outcomes, safety, and applications of the technique.
Accurate segmentation of organs in the abdomen is a primary requirement for any medical analysis and treatment planning. In this study, we propose an ...
BACKGROUND: There are significant sex differences in the causes and consequences of alcohol misuse, suggesting that sex-specific neurobiological mecha...
Medical predictions, for example, concerning a patient's likelihood of survival, can be used to efficiently allocate scarce resources. Predictions of ...
BACKGROUND: This multicenter study aimed to develop a deep learning-based autosegmentation model for pancreatic cancer and surrounding anatomical stru...
Deep learning-based semantic segmentation approaches provide an efficient and automated means for cancer diagnosis and monitoring, which is important ...
Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of nerves and is increasingly recognized as a pathologi...
BACKGROUND: Sarcopenia, defined as the progressive loss of skeletal muscle mass and function, has been associated with poor prognosis in patients with...
IMPORTANCE: Although tumor-infiltrating lymphocytes (TILs) have been implicated as prognostic biomarkers across various malignancies, the clinical app...
With the rapid development of modern medical technology,minimally invasive surgical procedures are playing an increasingly important role in the field...
Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical characteristics. Establishing a surgical safety s...
PURPOSE: To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection, on a longitudinal cohort of patients. In particul...
AIM: This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) derived from ultrasound images to improve predictive accuracy ...
Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant challenges to recovery and long-term outcomes. ICU-...
OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial intelligence (AI)-based tool leveraging automated ...
BACKGROUND: Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scan...
Vaccines have had a major impact on the control of infectious disease, most recently by helping to combat the COVID-19 pandemic. Prophylactic cancer v...
PURPOSE: This study aimed to compare three publicly available deep learning models (TotalSegmentator, TotalVibeSegmentator, and PanSegNet) for automat...
Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in disease models and toxicology studies. Identifying sm...