Results 141 to 150 of about 1,199,322 (345)

Artificial intelligence automation of echocardiographic measurements

JACC
ABSTRACT Background Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time, however manual assessment is time-consuming and can be imprecise. Artificial intelligence (AI) has the potential to reduce clinician burden
Yuki Sahashi, Hirotaka Ieki, Victoria Yuan, Matthew Christensen, Milos Vukadinovic, Christina Binder-Rodriguez, Justin Rhee, James Y. Zou, Bryan He, Paul Cheng, David Ouyang   +10 more
openaire   +3 more sources

Three‐Dimensional Biomimetic Aerogel Conduits with Electro‐Ionic‐Immune Coupling Reverse the Pathological Cascade of Spinal Cord Injury

Advanced Functional Materials, EarlyView.
A biomimetic aerogel conduit was engineered from a nanofiber of gelatin/poly(l‐lactic acid) doped with polypyrrole nanoparticles, integrated with tannic acid and Mg2+. This “electro‐ionic‐immune” strategy mimicked spinal cord properties, reduced calcium overload, inflammation, oxidative damage, promoted neural stem cell differentiation, suppressed ...
Qingxiang Liu, Xin Yu, Jingtong Li, Chunyang Zheng, Yukang Zhang, Mingyu Jia, Tan Tian, Weiwei Zheng, Pinghui Zhou, Yingji Mao   +9 more
wiley   +1 more source

An intelligent prosthetic hand using hybrid actuation and myoelectric control [PDF]

, 2009
This thesis details the design and development of an intelligent prosthetic hand based on hybrid DC and Shape Memory Alloy (SMA) actuation and controlled by only two myoelectric sensors.
Lau, Beng Guey
core  

Cerenkov Luminescence Tomography for In Vivo Radiopharmaceutical Imaging

International Journal of Biomedical Imaging, 2011
Cerenkov luminescence imaging (CLI) is a cost-effective molecular imaging tool for biomedical applications of radiotracers. The introduction of Cerenkov luminescence tomography (CLT) relative to planar CLI can be compared to the development of X-ray CT ...
Jianghong Zhong, Chenghu Qin, Xin Yang, Shuping Zhu, Xing Zhang, Jie Tian   +5 more
doaj   +1 more source

Automated Reasoning for Explainable Artificial Intelligence

EPiC Series in Computing, 2018
Reasoning and learning have been considered fundamental features of intelligence ever since the dawn of the field of artificial intelligence, leading to the development of the research areas of automated reasoning and machine learning. This short paper is a non-technical position statement that aims at prompting a discussion of the relationship between
openaire   +3 more sources

Mechanistic Control of C─H Bond Activation and C─C Coupling in Light‐Driven Methane Conversion to C2+ Products over Multifunctional Photocatalysts

Advanced Functional Materials, EarlyView.
Methane photocatalytic activation under mild conditions remains a formidable challenge in the synthesis of solar fuels. In this review, we emphasize the growing importance of multifunctional materials and hybrid systems within a unified mechanistic framework that integrates selective C─H bond activation, formation and control of intermediates, C─C ...
Di Hu, Yuheng Jiang, Vitaly V. Ordomsky, Bastian Mei, Zhiyong Tang, Andrei Y. Khodakov   +5 more
wiley   +1 more source

Advances in auditing and business continuity: A study in financial companies

Journal of Open Innovation: Technology, Market and Complexity
This paper delves into the integration of Intelligent Process Automation within the domain of business continuity auditing, with a focus on the Portuguese banking sector. In an era marked by rapid technological advancement, organizations are increasingly
José Cascais Brás, Ruben Filipe Pereira, Micaela Fonseca, Rui Ribeiro, Isaias Scalabrin Bianchi   +4 more
doaj   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Automotive automation: Investigating the impact on drivers' mental workload [PDF]

, 1997
Recent advances in technology have meant that an increasing number of vehicle driving tasks are becoming automated. Such automation poses new problems for the ergonomist.
Young, Mark S., Stanton, Neville A., Stanton, N A, Young, M S   +3 more
core  

Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014 [PDF]

, 2014
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of
Wu, Zhenhua, Zhenhua Wu
core   +1 more source