About this Research Topic
The recent advances in digital technology and Internet-of-Things have generated more personal health care data, both at hospitals and in-home. Sophisticated machine learning and artificial intelligence (AI) algorithms have been developed to create personalized health care applications such as assisting early diagnosis, predicting adverse outcome and drug event, and drug recommendation. To enable successful AI applications, a collection of individualized data from multiple sources (e.g., ranging from molecular data to clinical conditions), or data surrounding people's daily lives, such as from wearable watches and social determinants of health, is often required. Specifically, the recent coronavirus pandemic (COVID-19) has created an urgent demand to support globally shareable healthcare resources to combat the crisis.
The traditional centralized healthcare data management solution cannot stratify the requirements. New and innovative solutions are needed to ensure personal health data is safely collected and linked, to adapt data processing distributivity for decision optimization, and most importantly, to adhere to data safety and privacy requirements. Blockchain technology is a promising solution in providing a decentralized, traceable, undeniable and privacy-controlled data management system. There is an increasing interest in adopting blockchain technology in building infrastructures for managing healthcare data such as personal healthcare records, medical supply chain, clinical research, insurance claims, and professional medical credentials. The convergence of AI and blockchain is inevitable because data is central to effective AI, and blockchain enables safe and trustworthy data sharing.
This Research Topic aims to attract original research articles on AI and Blockchain’s joint solution to transform the healthcare system. The contributors will have the opportunity to present their solutions and studies on utilizing these techniques to solve real-world medical problems such as improving the clinical decision support, workflow, healthcare utilization, and reference; or improving accessibility, interoperability, privacy, and security to ensure safe data access among providers, researchers, communities and insurance companies. Review articles that provide in-depth analyses of particular subtopics or identify novel research topics are also welcomed. Contributions that address the following topics will be considered for publication:
• Blockchain-enabled AI applications for healthcare and medicine
• Clinical workflow enhancements with AI and Blockchain
• The AI and blockchain technology in combating COVID-19 pandemic
• AI-enabled clinical decision-making support tools
• Decentralized Intelligence and collective decision making
• Securing patient health data using federated learning solutions and blockchain technology
• Blockchain-enabled data collection, tracking, and sharing in medicine and healthcare.
• AI and blockchain application for telehealth and telemedicine
• Provenance and trust management of medical devices or medications
• Improving AI/machine learning models on blockchain
• The role of consensus protocols for AI application
Keywords: Artificial intelligence, Healthcare, Blockchain, Machine Learning, Medicine, Big Data
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.