Results 121 to 130 of about 1,164,076 (332)
Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation [PDF]
Jialiang Zhao +2 more
openalex +1 more source
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
Objectives: No detailed country-specific cross-sectional studies have been reported on endoscopic plastic surgery. For the first time, the Japan Society of Plastic and Reconstructive Surgery conducted a nationwide survey to ascertain the status of ...
Kazunobu Hashikawa +10 more
doaj
Underwater Object Recovery Using a Hybrid-Controlled ROV with Deep Learning-Based Perception
The deployment of large remotely operated vehicles (ROVs) or autonomous underwater vehicles (AUVs) typically requires support vessels, crane systems, and specialized personnel, resulting in increased logistical complexity and operational costs.
Inés Pérez-Edo +3 more
doaj +1 more source
Meta-analysis of the effects of upper limb robot-assisted training on cognitive function and upper limb function in patients after stroke [PDF]
Shanshan ZHU +5 more
openalex +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments
Vision-based target tracking is crucial for unmanned surface vehicles (USVs) to perform tasks such as inspection, monitoring, and surveillance. However, real-time tracking in complex maritime environments is challenging due to dynamic camera movement ...
Muhayy Ud Din +5 more
doaj +1 more source
Deep Learning in Robotics: A Review of Recent Research
Advances in deep learning over the last decade have led to a flurry of research in the application of deep artificial neural networks to robotic systems, with at least thirty papers published on the subject between 2014 and the present.
Gashler, Michael S., Pierson, Harry A.
core +1 more source
Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz +8 more
wiley +1 more source
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg +26 more
wiley +1 more source

