Results 131 to 140 of about 143,456 (334)

Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management. [PDF]

Cureus, 2023
Alanzi T, Almahdi R, Alghanim D, Almusmili L, Saleh A, Alanazi S, Alshobaki K, Attar R, Al Qunais A, Alzahrani H, Alshehri R, Sulail A, Alblwi A, Alanzi N, Alanzi N.   +14 more
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

The accuracy of artificial intelligence-based virtual assistants in responding to routinely asked questions about orthodontics. [PDF]

Angle Orthod, 2023
Perez-Pino A, Yadav S, Upadhyay M, Cardarelli L, Tadinada A.   +4 more
europepmc   +1 more source

Virtual Health Assistant

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
This virtual health assistant is being offered as a full- service web-based companion to guide you through your health journey. Simplify your healthcare experience with easy appointments directly through the platform, allowing you to connect with the right doctors at your convenience.
openaire   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

AI-Powered Mental Health Virtual Assistants' Acceptance: An Empirical Study on Influencing Factors Among Generations X, Y, and Z. [PDF]

Cureus, 2023
Alanzi T, Alsalem AA, Alzahrani H, Almudaymigh N, Alessa A, Mulla R, AlQahtani L, Bajonaid R, Alharthi A, Alnahdi O, Alanzi N.   +10 more
europepmc   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

A Natural Language-enabled Virtual Assistant for Human-Robot Interaction in Industrial Environments [PDF]

, 2022
Chen Li, Dimitrios Chrysostomou, Hongji Yang   +2 more
openalex   +1 more source

3D‐Printed Dynamic Heart Model With Left‐Side Anatomy and Integrated Sensor for Edge‐to‐Edge Repair and Regurgitation Reduction

Advanced Materials Technologies, EarlyView.
This work presents a fully synthetic, 3D‐printed dynamic heart model with left‐side anatomy featuring sutured mitral valve chordae tendineae analogs, embedded actuators for physiologic wall contraction, and customized flexible pressure sensors for the left ventricle.
Alejandro Guillen Obando, Hongyi Shen, Myles McGovern, Yusen Zhang, Vivien Lin, Darryl Fu, Ryan Baumwart, Kaiyan Qiu   +7 more
wiley   +1 more source