Results 281 to 290 of about 53,297 (369)
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
His Bundle Pacing: Predicting Mortality and Major Complications in Mid-Term Follow-Up. [PDF]
Kulesza P +7 more
europepmc +1 more source
His bundle pacing: Still much to learn
Jastrzębski, Marek +4 more
openaire +4 more sources
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Long-Term Outcomes in Patients With Relatively High His-Bundle Capture Threshold After Permanent His-Bundle Pacing - A Multicenter Clinical Study. [PDF]
Watanabe R +10 more
europepmc +1 more source
Chronic His bundle pacing: a precise and precarious therapy.
van Hemel Nm
openalex +1 more source
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang +4 more
wiley +1 more source
Learning Optimal Crowd Evacuation from Scratch Through Self‐Play
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri +3 more
wiley +1 more source
A large language model (LLM)‐powered multimodal robotic scrub nurse control framework is proposed for enhancing human–robot interaction. Inside, the vision module gives out instrument class, location, and occlusion relationship. Speech module captures and converts user's speech commands.
Wing Yin Ng +4 more
wiley +1 more source

