AIMC Topic: Humans

Clear Filters Showing 34561 to 34570 of 95995 articles

Comparison of quality of life after robotic-transvaginal natural orifice transluminal endoscopic surgery and robot-assisted laparoscopic hysterectomy.

European journal of obstetrics, gynecology, and reproductive biology
OBJECTIVES: We investigated quality of life (QOL) of patients who underwent total hysterectomy for benign uterine diseases using two surgical approaches: robotic-transvaginal natural orifice transluminal endoscopic surgery (R-vNOTES) and robot-assist...

PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework.

Nature genetics
Several molecular and phenotypic algorithms exist that establish genotype-phenotype correlations, including facial recognition tools. However, no unified framework that investigates both facial data and other phenotypic data directly from individuals...

Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios.

Physical and engineering sciences in medicine
This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in three-dimensional planning computed tomography (CT) images for lung...

High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing.

IEEE transactions on pattern analysis and machine intelligence
Histopathological Whole Slide Images (WSIs) play a crucial role in cancer diagnosis. It is of significant importance for pathologists to search for images sharing similar content with the query WSI, especially in the case-based diagnosis. While slide...

Thinking about God increases acceptance of artificial intelligence in decision-making.

Proceedings of the National Academy of Sciences of the United States of America
Thinking about God promotes greater acceptance of Artificial intelligence (AI)-based recommendations. Eight preregistered experiments ( = 2,462) reveal that when God is salient, people are more willing to consider AI-based recommendations than when G...

Multi-Camera-Based Human Activity Recognition for Human-Robot Collaboration in Construction.

Sensors (Basel, Switzerland)
As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-d...

Improving the classification of cardinality phenotypes using collections.

Journal of biomedical semantics
MOTIVATION: Phenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model organisms and stored in mode...

Cross-protein transfer learning substantially improves disease variant prediction.

Genome biology
BACKGROUND: Genetic variation in the human genome is a major determinant of individual disease risk, but the vast majority of missense variants have unknown etiological effects. Here, we present a robust learning framework for leveraging saturation m...

Machine learning and statistical models for analyzing multilevel patent data.

Scientific reports
A recent surge of patent applications among public hospitals in China has aroused significant research interest. A country's healthcare innovation capacity can be measured by its number of patents. This paper explores the link between the number of p...