Results 151 to 160 of about 171,830 (212)

Integrating AI Into Governmental Public Health Decision Making: Challenges, Considerations, and a Path Forward. [PDF]

JMIR Public Health Surveill
Campbell E, Oyefolu O, Gillani S, Goodtree H, Kelly A, Rivers C, Watson C.   +6 more
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers. [PDF]

JMIR AI
Bottomly D, Barnes B, Mavuwa K, Lee N, Roth HR, Chen C, McWeeney SK.   +6 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Federated learning with swarm intelligence for efficient and secure medical image analysis. [PDF]

Sci Rep
SayedElahl MA, Farouk RM, Ali AE, Ahmed E.   +3 more
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Clinical AI is Not (Yet) Trustworthy-But It Could Be. [PDF]

J Med Internet Res
Saad A, Dias SB, Alhussein G, Lyreskog D, Gerasimou I, Alves B, de Vos Μ, Drivas I, Zaras J, Stergioulas A, Bensenousi I, Hadjileontiadis L, Chatzichristos C, Hadjidimitriou S.   +13 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source