AIMC Topic: Blockchain

Clear Filters Showing 11 to 20 of 65 articles

Federated learning with bilateral defense via blockchain.

Neural networks : the official journal of the International Neural Network Society
Federated Learning (FL) offers benefits in protecting client data privacy but also faces multiple security challenges, such as privacy breaches from unencrypted data transmission and poisoning attacks that compromise model performance, however, most ...

Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and transparency.

Bioanalysis
This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, and transparency in...

Blockchain for Trustworthy Artificial Intelligence in Dentistry.

JDR clinical and translational research
The race for developing and marketing the best inline artificial intelligence (AI) solutions is already in full swing in the dental industry. While regulators are trying to keep up with this fast-paced innovation, end users of these technologies must...

Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI.

The American journal of bioethics : AJOB
Participation in research is supposed to be voluntary and informed. Yet it is difficult to ensure people are adequately informed about the potential uses of their biological materials when they donate samples for future research. We propose a novel c...

Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging.

Ophthalmology
PURPOSE: Collaboration provides valuable data for robust artificial intelligence (AI) model development. Federated learning (FL) is a privacy-enhancing technology that allows collaboration while respecting privacy via the development of models withou...

Digital innovations for monitoring sustainability in food systems.

Nature food
Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platf...

Artificial Intelligence and Blockchain Enabled Smart Healthcare System for Monitoring and Detection of COVID-19 in Biomedical Images.

IEEE/ACM transactions on computational biology and bioinformatics
Millions of individuals around the world have been impacted by the ongoing coronavirus outbreak, known as the COVID-19 pandemic. Blockchain, Artificial Intelligence (AI), and other cutting-edge digital and innovative technologies have all offered pro...

An architecture for COVID-19 analysis and detection using big data, AI, and data architectures.

PloS one
The COVID-19 epidemic is affecting individuals in many ways and continues to spread all over the world. Vaccines and traditional medical techniques are still being researched. In diagnosis and therapy, biological and digital technology is used to ove...

Synergizing blockchain and artificial intelligence to enhance healthcare.

Drug discovery today
This perspective paper explores the synergistic potential of blockchain and artificial intelligence (AI) in transforming healthcare. It begins with an overview of blockchain's role in healthcare data management, security, the pharmaceutical supply ch...

Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain.

IEEE journal of biomedical and health informatics
Federated learning (FL) enables collaborative training of machine learning models across distributed medical data sources without compromising privacy. However, applying FL to medical image analysis presents challenges like high communication overhea...