Results 171 to 180 of about 127,405 (308)

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

InfoMat, EarlyView.
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu, Weilong Huang, Feihong Zhu, Yongjie Cai, Xiaolong Li, Yang Yang, Xiao Ma, Zhixiang Wei, Wei Chen, Huipeng Chen   +9 more
wiley   +1 more source

Recent advances in organic broad‐spectrum photodetection materials and devices

InfoMat, EarlyView.
Graphical Abstract This review systematically outlines the evolution of organic photodetectors from fullerene‐based to advanced non‐fullerene acceptors, highlighting how molecular engineering (e.g., D–A, quinoidal, and A‐D‐A′‐D‐A architectures) extends spectral response into the short‐wave infrared region.
Yilin Zhao, Shijia Tan, Deyang Ji, Wenping Hu   +3 more
wiley   +1 more source

Using body mapping to explore perceptions of resilience with 7–12‐year‐old Muslim children in East London: A qualitative study

JCPP Advances, EarlyView.
This study explored resilience in Black and South Asian Muslim children aged 7–12 in East London, an underrepresented group affected by deprivation and discrimination. Using body mapping, children depicted resilience as personal strength and described the importance of support systems.
Aisling Murray, Imogen I. Hensler, Eleanor Keiller, Faiza Durrani, Patrisiya Ali Taleb, Maria Grazia Turri, Jennifer Y. F. Lau   +6 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Augmented Reality of Anatomical Structures of the Maxillomandibular Complex for Learning Dental Radiographic Techniques

Journal of Dental Education, EarlyView.
ABSTRACT Introduction Augmented reality (AR) enables interactive learning in real‐world environments. In dental radiography education, AR offers a promising tool to enhance students' clinical skills by allowing them to simulate and practice procedures before engaging with actual patients. Repeated practice in an AR environment can reinforce theoretical
Maitê Michel Piazza Willig, Mariana Boessio Vizzotto, Henrique Timm Vieira, Priscila Fernanda da Silveira Tiecher, Thiago de Oliveira Gamba, Nádia Assein Arús, Luis Ernesto Arriola‐Guillén, Heraldo Luís Dias da Silveira   +7 more
wiley   +1 more source

Personal HealthCare of Things: A novel paradigm and futuristic approach

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta, Mohammad Shabaz, Ankur Gupta, Abdullah Alqahtani, Shtwai Alsubai, Isaac Ofori   +5 more
wiley   +1 more source

Pre‐Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model‐Enabled Data Extraction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision‐making. Purpose To evaluate whether pre‐imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. Study Type Retrospective.
Hong Yu, Masha Bondarenko, Ali Nowroozi, Yoo Jin Lee, Adrian Serapio, Punita Kaveti, Jae Ho Sohn   +6 more
wiley   +1 more source

Use of digital images in the undergraduate community medicine examination

South-East Asian Journal of Medical Education, 2011
Megha Gupta, Gopal K. Ingle, Rahul Malhotra, Chetna Malhotra, Panna Lal   +4 more
openaire   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong, Yue Xing, Yangfan Hu, Xianwei Liu, Shun Dai, Defang Ding, Junjie Lu, Jiarui Yang, Yue Li, Yang Song, Minda Lu, Dominik Nickel, Wenjie Lu, Huan Zhang, Weiwu Yao   +14 more
wiley   +1 more source

Experiences of Diagnostic Radiography Students With Workplace‐Based and Online Learning During the COVID‐19 Pandemic: A Study Across Four Higher Education Institutions in South Africa

Journal of Medical Radiation Sciences, EarlyView.
This study explored diagnostic radiography students' learning experiences during COVID‐19 across four South African Higher Education Institutions. Themes included challenges with clinical placements, PPE and online learning, as well as inclusive learning enablers. Findings inform strategies to support students during future crises.
Siyabonga Goodwill Hadebe, Amina Hajat, Lynne Janette Hazell   +2 more
wiley   +1 more source