Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,981 to 3,990 of 172,715 articles

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach

arXiv
Federated recommendation (FR) facilitates collaborative training by aggregating local models from massive devices, enabling client-specific personalization while ensuring privacy. However, we empirically and theoretically demonstrate that server-si... read more 

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph

arXiv
The rapid expansion of medical literature presents growing challenges for structuring and integrating domain knowledge at scale. Knowledge Graphs (KGs) offer a promising solution by enabling efficient retrieval, automated reasoning, and knowledge d... read more 

Mechanical Automation with Vision: A Design for Rubik's Cube Solver

arXiv
The core mechanical system is built around three stepper motors for physical manipulation, a microcontroller for hardware control, a camera and YOLO detection model for real-time cube state detection. A significant software component is the develop... read more 

iTrace: Click-Based Gaze Visualization on the Apple Vision Pro

arXiv
The Apple Vision Pro is equipped with accurate eye-tracking capabilities, yet the privacy restrictions on the device prevent direct access to continuous user gaze data. This study introduces iTrace, a novel application that overcomes these limitati... read more 

When motivation can be more than a message: designing agents to boost physical activity

arXiv
Virtual agents are commonly used in physical activity interventions to support behavior change, often taking the role of coaches that deliver encouragement and feedback. While effective for compliance, this role typically lacks relational depth. Th... read more 

Sketchar: Supporting Character Design and Illustration Prototyping Using Generative AI

arXiv
Character design in games involves interdisciplinary collaborations, typically between designers who create the narrative content, and illustrators who realize the design vision. However, traditional workflows face challenges in communication due t... read more 

Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids

arXiv
Simulation-based reinforcement learning (RL) has significantly advanced humanoid locomotion tasks, yet direct real-world RL from scratch or adapting from pretrained policies remains rare, limiting the full potential of humanoid robots. Real-world l... read more 

Autonomous Oil Spill Response Through Liquid Neural Trajectory Modeling and Coordinated Marine Robotics

arXiv
Marine oil spills pose grave environmental and economic risks, threatening marine ecosystems, coastlines, and dependent industries. Predicting and managing oil spill trajectories is highly complex, due to the interplay of physical, chemical, and en... read more 

SIGN: Safety-Aware Image-Goal Navigation for Autonomous Drones via Reinforcement Learning

arXiv
Image-goal navigation (ImageNav) tasks a robot with autonomously exploring an unknown environment and reaching a location that visually matches a given target image. While prior works primarily study ImageNav for ground robots, enabling this capabi... read more 

A robust and compliant robotic assembly control strategy for batch precision assembly task with uncertain fit types and fit amounts

arXiv
In some high-precision industrial applications, robots are deployed to perform precision assembly tasks on mass batches of manufactured pegs and holes. If the peg and hole are designed with transition fit, machining errors may lead to either a clea... read more