Results 161 to 170 of about 21,342 (297)

Maximizing the Economic, Environmental, and Social Impact of the Metaverse

Thunderbird International Business Review, EarlyView.
ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri, Mark Esposito, Massimiliano Cappuccio   +2 more
wiley   +1 more source

A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed. [PDF]

Sensors (Basel), 2022
Pradhan NR, Singh AP, Verma S, Kavita, Kaur N, Roy DS, Shafi J, Wozniak M, Ijaz MF.   +8 more
europepmc   +1 more source

BLOCKCHAIN IN HEALTHCARE DATA

International Research Journal of Modernization in Engineering Technology and Science, 2022

semanticscholar   +1 more source

Blockchain in Health Care, Evolutionary or Revolutionary – An Evidence-Based Review

Journal of Pharmacy and Bioallied Sciences
Blockchain technology has emerged as a disruptive force with the potential to transform various industries, including healthcare. This review paper assesses the current evidence regarding the application of blockchain in healthcare and evaluates whether ...
Sameer Gupta, Pravesh Mehra, Bishan Nandy, P Rishal Mohammed, Prasanti K. Pradhan, Shilpa Duseja, Nirvi Sharma, Priyanka R. Pujari   +7 more
doaj   +1 more source

Improving the data access control using blockchain for healthcare domain. [PDF]

F1000Res, 2021
Tahir Yinka O, Haw SC, Yap TTV, Subramaniam S.   +3 more
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

The role of blockchain to secure internet of medical things

Scientific Reports
This study explores integrating blockchain technology into the Internet of Medical Things (IoMT) to address security and privacy challenges. Blockchain’s transparency, confidentiality, and decentralization offer significant potential benefits in the ...
Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Alaa Abd-Alrazaq, Arfan Ahmed, Habib Hamam   +6 more
doaj   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Neural Network Repair With Shapley‐Guided Search

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du, Zixiong Zhang, Xuesong Wang, Linqiang Liu, Junyan Qian   +4 more
wiley   +1 more source