AIMC Topic: Male

Clear Filters Showing 14841 to 14850 of 27433 articles

Assessing the Outbreak Risk of Epidemics Using Fuzzy Evidential Reasoning.

Risk analysis : an official publication of the Society for Risk Analysis
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other risks affecting public health such as flooding, EDs attract little attention in terms of risk asses...

Robotic versus laparoscopic total mesorectal excision for rectal cancer: a meta-analysis of long-term survival and urogenital functional outcomes.

Minerva gastroenterology
INTRODUCTION: Robotic surgical technology has been widely introduced and applied in various fields of surgery. The aim of this study was to analyze long-term oncological and urogenital functional outcomes following laparoscopic/robotic total mesorect...

A hybrid deep learning approach for gland segmentation in prostate histopathological images.

Artificial intelligence in medicine
BACKGROUND: In digital pathology, the morphology and architecture of prostate glands have been routinely adopted by pathologists to evaluate the presence of cancer tissue. The manual annotations are operator-dependent, error-prone and time-consuming....

Development and placement accuracy evaluation of an MR conditional robot for prostate intervention.

Medical & biological engineering & computing
Robot-assisted prostate intervention under magnetic resonance imaging (MRI) guidance is a promising method to improve the clinical performance compared with the manual method. An MR conditional 6-DOF prostate intervention serial robot is developed an...

Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation.

Scientific reports
The advancement of artificial intelligence (AI) has facilitated its application in medical fields. However, there has been little research for AI-assisted endoscopy, despite the clinical significance of the efficiency and safety of cannulation in the...

Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning.

PloS one
OBJECTIVE: To assess whether machine learning algorithms (MLA) can predict eyes that will undergo rapid glaucoma progression based on an initial visual field (VF) test.

Classification Criteria for Serpiginous Choroiditis.

American journal of ophthalmology
PURPOSE: To determine classification criteria for serpiginous choroiditis.

Classification Criteria for Punctate Inner Choroiditis.

American journal of ophthalmology
PURPOSE: The purpose of this study was to determine classification criteria for punctate inner choroiditis (PIC).