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相关论文: Decentralized Health Intelligence Network (DHIN)

200 篇论文

Artificial Intelligence (AI) is poised to transform healthcare delivery through revolutionary advances in clinical decision support and diagnostic capabilities. While human expertise remains foundational to medical practice, AI-powered…

This paper introduces a Blockchain-Integrated Explainable AI Framework (BXHF) for healthcare systems to tackle two essential challenges confronting health information networks: safe data exchange and comprehensible AI-driven clinical…

密码学与安全 · 计算机科学 2025-09-19 Md Talha Mohsin

Known for its decentralized and tamper-aware properties, blockchain is attractive to enhance the infrastructure of systems that have been constrained by traditionally centralized and vendor-locked environments. Although blockchain has…

密码学与安全 · 计算机科学 2020-10-06 Peng Zhang , Douglas C. Schmidt , Jules White

Digital healthcare systems have revolutionized medical services, facilitating provider collaboration, enhancing diagnosis, and optimizing and improving treatments. They deliver superior quality, faster, reliable, and cost-effective…

密码学与安全 · 计算机科学 2024-12-16 Md Al Amin , Hemanth Tummala , Rushabh Shah , Indrajit Ray

Decentralized learning enhances privacy, scalability, and fault tolerance by distributing data and computation across nodes. A popular approach is Federated learning, which relies on a central aggregator, yet faces challenges such as server…

Electronic Health Records(EHR) are gaining a lot of popularity all over the world. The current EHR systems however have their fair share of problems related to privacy and security. We have proposed a mechanism which provides a solution to…

密码学与安全 · 计算机科学 2020-10-01 Gaganjeet Reen , Manasi Mohandas , S Venkatesan

While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Merging distributed computing with…

密码学与安全 · 计算机科学 2024-03-29 Ji Liu , Chunlu Chen , Yu Li , Lin Sun , Yulun Song , Jingbo Zhou , Bo Jing , Dejing Dou

The introduction of electronic personal health records (EHR) enables nationwide information exchange and curation among different health care systems. However, the current EHR systems do not provide transparent means for diagnosis support,…

分布式、并行与集群计算 · 计算机科学 2022-10-04 Dragi Kimovski , Sasko Ristov , Radu Prodan

This paper critically reviews the integration of Artificial Intelligence (AI) and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize healthcare…

密码学与安全 · 计算机科学 2025-01-07 Ellis Solaiman , Christa Awad

Traditional facility management often relies on centralized decision-making structures that limit stakeholder participation, leading to misalignment with occupant needs and reduced satisfaction. This paper proposes a novel blockchain- and…

密码学与安全 · 计算机科学 2026-05-20 Reachsak Ly , Alireza Shojaei , Xinghua Gao , Philip Agee , Abiola Akanmu

Electronic Health Records (EHRs) have undergone numerous technical improvements in recent years, including the incorporation of mobile devices with the cloud computing technologies to facilitate medical data exchanges between patients and…

分布式、并行与集群计算 · 计算机科学 2023-06-30 Aisha Banu , Sharon Priya S , Poojitha K , Kiruthiga R , Ruby Annette , Subash Chandran

Federated learning (FL) enables collaborative model training across distributed clients while preserving data locality. Although FedAvg pioneered synchronous rounds for global model averaging, slower devices can delay collective progress.…

机器学习 · 计算机科学 2025-05-09 Sanghyeon Park , Soo-Mook Moon

This paper presents SiliconHealth, a comprehensive blockchain-based healthcare infrastructure designed for resource-constrained regions, particularly sub-Saharan Africa. We demonstrate that obsolete Bitcoin mining Application-Specific…

神经与进化计算 · 计算机科学 2026-01-16 Francisco Angulo de Lafuente , Seid Mehammed Abdu , Nirmal Tej

Privacy protection is an ethical issue with broad concern in Artificial Intelligence (AI). Federated learning is a new machine learning paradigm to learn a shared model across users or organisations without direct access to the data. It has…

分布式、并行与集群计算 · 计算机科学 2021-08-25 Guodong Long , Tao Shen , Yue Tan , Leah Gerrard , Allison Clarke , Jing Jiang

Artificial Intelligence (AI) has the potential to significantly benefit or harm humanity. At present, a few for-profit companies largely control the development and use of this technology, and therefore determine its outcomes. In an effort…

计算机与社会 · 计算机科学 2022-11-14 Casey Clifton , Richard Blythman , Kartika Tulusan

The advent of Decentralized Physical Infrastructure Networks (DePIN) represents a shift in the digital infrastructure of today's Internet. While Centralized Service Providers (CSP) monopolize cloud computing, DePINs aim to enhance data…

密码学与安全 · 计算机科学 2024-04-15 Jan von der Assen , Christian Killer , Alessandro De Carli , Burkhard Stiller

While traditional AI and data-driven facilities management approaches have improved building operational efficiency, they remain constrained by centralized organizational structures that are vulnerable to cyber attacks, limited contextual…

计算机与社会 · 计算机科学 2026-05-19 Reachsak Ly , Alireza Shojaei , Xinghua Gao , Philip Agee , Abiola Akanmu

Driven by the vision of ubiquitous connectivity and wireless intelligence, the evolution of ultra-dense constellation-based satellite-integrated Internet is underway, now taking preliminary shape. Nevertheless, the entrenched institutional…

As blockchain technology gains traction for enhancing data security and operational efficiency, traditional centralized authentication systems remain a significant bottleneck. This paper addresses the challenge of integrating decentralized…

密码学与安全 · 计算机科学 2024-12-03 Faisal Haque Bappy , Joon S. Park , Kamrul Hasan , Tariqul Islam

Healthcare data is sensitive and requires great protection. Encrypted electronic health records (EHRs) contain personal and sensitive data such as names and addresses. Having access to patient data benefits all of them. This paper proposes…