Latest AI and machine learning research in stds for healthcare professionals.
What are the mechanisms that enable organisms to detect and respond to the actions of others? Social contingency, or the degree to which one's actions reliably elicit timely and relevant responses from another, underlies adaptive behaviour and social interaction across species. In order to investigate general principles underlying this phenomenon, we trained and analysed populations of embodied re...
Cervical intraepithelial neoplasia grade 2 (CIN2) lesions show variable outcomes, and accurate prediction of regression remains a major clinical challenge. We developed an interpretable machine learning pipeline that integrates quantitative histological, clinical, and human papillomavirus (HPV) -genotyping data to predict lesion regression within one and two years. Using panoptic segmentation of r...
Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis globally, yet current treatments, including surger...
Numerous applications in research and medicine rely on reliable identification and quantification of virus-infected cells. Current methods either appl...
Accurate geo-registration of LiDAR point clouds presents significant challenges in GNSS signal denied urban areas with high-rise buildings and bridg...
Autonomous vehicle technology has been developed in the last decades with recent advances in sensing and computing technology. There is an urgent ne...
Machine learning methods are increasingly applied to analyze health-related public discourse based on large-scale data, but questions remain regardi...
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the biomechanics of cadaveric knees. However, it can be ...
BACKGROUND: Syphilis, caused by Treponema pallidum, is a significant global health concern with potentially severe complications if untreated. Advance...
The present study aimed to develop and validate a fusion model based on multi-phase contrast-enhanced computed tomography (CECT) radiomics features co...
Smartphone-based heart rate (HR) monitoring apps using finger-over-camera photoplethysmography (PPG) face significant challenges in performance eval...
High-dynamic scene reconstruction aims to represent static background with rigid spatial features and dynamic objects with deformed continuous spati...
This investigation attempts to create an automated framework for fault detection and organization for usage in contemporary radiography, as per NDE ...
Accurately perceiving complex driving environments is essential for ensuring the safe operation of autonomous vehicles. With the tremendous progress...
Accurately assessing internal human states is key to understanding preferences, offering personalized services, and identifying challenges in real-w...
Web applications are critical to modern software ecosystems, yet ensuring their reliability remains challenging due to the complexity and dynamic na...
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing human-relevant systems for modeling diseases and ...
The early detection of high-risk human papillomavirus (HR-HPV) is crucial for the assessment and improvement of prognosis in cervical cancer. However,...
Determining conditional independence (CI) relationships between random variables is a fundamental yet challenging task in machine learning and stati...
This paper proposes a framework for semantic hypothesis testing tailored to imaging inverse problems. Modern imaging methods struggle to support hyp...