Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Objective: In this study, we exploited a VGG-16 deep convolutional neural network (DCNN)
model to differentiate papillary thyroid carcinoma (PTC) from benign thyroid nodules using …

The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Artificial intelligence (AI) has made impressive strides recently in interpreting complex
images, thanks to improvements in deep learning techniques and increasing computational …

Background Unlike Papanicolaou tests, there are no commercially available computer‐
assisted automated screening systems for urine specimens. Despite The Paris System for …

Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytology
laboratory. However, peer-reviewed real-world data and literature are lacking in regard to …

Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …

Background We aimed to develop a deep learning-based segmentation system for rapid on-
site cytopathology evaluation (ROSE) to improve the diagnostic efficiency of endoscopic …

Purpose We evaluated the related research on artificial intelligence (AI) in pancreatic cancer
(PC) through bibliometrics analysis and explored the research hotspots and current status …