Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Pancreatic tumor segmentation in 3D CT volumes is challenged by extreme scale variability across bot...
Cancer segmentation models can fail silently, generating plausible but incorrect masks that risk mis...
Large language models (LLMs) are entering clinical training as digital standardized patients (DSPs),...
Artificial intelligence applied to routine electrocardiograms (ECGs) has largely focused on detectin...
Objective To measure the accuracy of clinical coding, clinician review, and a locally deployed large...
Segmentation models can surpass radiologists, classification models, and vision-language models in t...
Purpose Modified FOLFIRINOX (FFX) and gemcitabine plus nab-paclitaxel (GNP) are standard first-line ...
Objective: To evaluate the case-level performance of deep-learning segmentation models for detecting...
Chronic fatigue, characterized by persistent physical and/or mental exhaustion, is a frequent and de...
Metastasis involves context-dependent molecular interactions in which non-coding RNAs, particularly ...
Significance: Rare-cell identification in fluorescence microscopy remains challenging because target...
Importance Socioeconomic disadvantage is associated with accelerated brain aging. However, the modif...
Pancreatic cancer is among the most lethal malignancies; risk stratification of intraductal papillar...
Alcohol use disorder (AUD) disrupts the gut-liver-brain axis, yet mechanistically grounded and thera...
The peripheral nervous system innervates the pancreatic ductal adenocarcinoma (PDAC) microenvironmen...
Background Cell free DNA (cfDNA) methylation profiling is promising for minimally invasive cancer de...
High-dimensional data with sparse structure and spatio-temporal dependence arise in many scientific ...
Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fund...
The human immune system is composed of [~]30-50 distinct cell types, each of which can exist in diff...
Gold-standard phenotype labels are often unavailable at scale in electronic health record (EHR) stud...
Deep learning models for prostate MRI-based cancer grading may encode clinical covariates that eithe...