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ABH 2027: International Conference on Artificial Intelligence and Blockchain in Healthcare

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截稿日期:
2027-03-25 还有 178 天
通知日期:
2027-05-17
会议日期:
2027-07-22
会议地点:
Rome, Italy
届数:
浏览: 821   关注: 0   参加: 0

会伴指数 (CP-I)

42.2 / 100
全站第 4,133 名 / 共 5,687 个会议 · 前 73%

生物信息学与健康信息学 第 126 / 184 安全与隐私 第 256 / 361 人工智能与机器学习 第 534 / 741

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
30
社区关注 (10%)
5
资料公开度 (15%)
55

用到的输入: 有据可查的届次：2 · 过去 24 个月打开过本页的研究者：1 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-27

征稿

ABH 2027 (International Conference on Artificial Intelligence and Blockchain in Healthcare) is an academic conference held in Rome, Italy on 2027-07-22. The paper submission deadline is 2027-03-25. Acceptance notifications are sent on 2027-05-17.

SCOPE The ABH conference explores the transformative convergence of Artificial Intelligence and Blockchain technologies in healthcare and related applications. As healthcare systems worldwide embrace digital transformation, this conference provides a premier forum for researchers, practitioners, and industry leaders to share innovations, address challenges, and shape the future of intelligent, secure, and equitable medical systems. CONFERENCE AREAS Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas: 1. BLOCKCHAIN ENGINEERING IN HEALTHCARE 2. QUALITY ASSURANCE AND TESTING 3. GOVERNANCE BY DESIGN 4. BLOCKCHAIN ETHICS BY DESIGN 5. AI ETHICS BY DESIGN 6. FUTURE APPLICATIONS OF AGENT AI AND AGENTIC AI IN HEALTHCARE 7. TECHNICAL IMPLEMENTATION AND ENGINEERING 8. CLINICAL AND PRACTICAL APPLICATIONS 9. REGULATORY AND POLICY FRAMEWORKS 10. ECONOMIC AND BUSINESS MODELS 11. NLP, KNOWLEDGE GRAPHS, AND MULTIMODAL AI 12. AI IN EDUCATION AND INTELLIGENT LEARNING SYSTEMS IN HEALTHCARE AREA 1: BLOCKCHAIN ENGINEERING IN HEALTHCARE Blockchain Protocol Design for Healthcare Applications Smart Contract Development for Medical Protocols Consensus Mechanisms Optimized for Healthcare Data Scalability Solutions for Healthcare Blockchain Networks Cross-chain Interoperability for Medical Systems Layer-2 Solutions for High-throughput Healthcare Applications Edge Computing Integration With Blockchain Verification Healthcare-specific Blockchain Architectures and Frameworks AREA 2: QUALITY ASSURANCE AND TESTING Quality Assurance Frameworks for AI-blockchain Healthcare Systems Testing Methodologies for Smart Contracts in Medical Environments Validation and Verification of AI Models on Blockchain Platforms Performance Testing and Optimization Strategies Security Testing and Vulnerability Assessment Regulatory Compliance Testing Frameworks User Acceptance Testing for Healthcare Blockchain Applications AREA 3: GOVERNANCE BY DESIGN Governance Frameworks for Decentralized Healthcare Systems Multi-stakeholder Governance Models for Health Data Sharing Regulatory Compliance by Design Methodologies Patient Rights Enforcement Through Blockchain Governance Consensus-based Decision Making in Healthcare Networks Accountability and Transparency Mechanisms Dispute Resolution Protocols for Healthcare Blockchain Systems Governance and Ethics of Agent AREA 4: BLOCKCHAIN ETHICS BY DESIGN Ethical Frameworks for Blockchain Deployment in Healthcare Privacy-preserving Blockchain Architectures Equitable Access to Blockchain-based Healthcare Services Bias Mitigation in Blockchain-based Health Systems Transparency and Explainability in Blockchain Healthcare Applications Cultural and Social Considerations in Blockchain Healthcare Adoption Agentic AI AREA 5: AI ETHICS BY DESIGN Algorithmic Fairness and Bias Detection in Healthcare AI Explainable AI (XAI) for Clinical Decision Support Systems Privacy-preserving Machine Learning Techniques Federated Learning With Ethical Constraints AI Accountability and Responsibility Frameworks Human-AI Collaboration Ethics in Healthcare Consent Mechanisms for AI-driven Healthcare Services Cultural Sensitivity in AI Healthcare Applications AREA 6: FUTURE APPLICATIONS OF AGENT AI AND AGENTIC AI IN HEALTHCARE AI-powered Precision Medicine Platforms With Blockchain-secured Genomic Data Quantum-resistant Cryptography for Long-term Medical Data Protection Brain-computer Interfaces With Blockchain-verified Neural Data Digital Therapeutics With AI Personalization and Blockchain Compliance Tracking Augmented Reality Surgical Guidance With AI Assistance and Blockchain Credentialing Autonomous Medical Devices With AI Decision-making and Blockchain Audit Trails Homomorphic Encryption for Privacy-preserving Medical AI Zero-knowledge Proofs for Medical Research Data Sharing Decentralized Autonomous Organizations (DAOs) for Healthcare Governance AI-driven Blockchain Oracle Systems for Real-world Health Data Quantum Computing Applications in Healthcare Blockchain Synthetic Data Generation With Privacy Guarantees Metaverse Healthcare Environments With AI Avatars and Blockchain Identity Predictive Healthcare Using AI With Blockchain-verified Lifestyle Data Personalized Medicine Protocols Automated Through Smart Contracts AI-powered Early Disease Detection With Blockchain-verified Sensor Data Robotic Surgery Coordination Through AI-blockchain Integration Mental Health Support Through AI Counselors With Blockchain Privacy Protection Decentralized Clinical Trials With AI Patient Matching and Blockchain Data Integrity AI-optimized Healthcare Supply Chains With Blockchain Traceability Pandemic Preparedness Systems Combining AI Prediction and Blockchain Coordination Global Health Data Sharing Networks With AI Analytics and Blockchain Governance Healthcare Tokenomics and Incentive Mechanisms for Patient Engagement AI-driven Population Health Management With Blockchain-secured Public Health Data AREA 7: TECHNICAL IMPLEMENTATION AND ENGINEERING Federated Learning on Blockchain Networks for Healthcare GDPR and HIPAA Compliance in AI-blockchain Systems Interoperability Standards for AI-blockchain Healthcare Integration Real-time Data Processing and Analytics on Blockchain Platforms Iot Integration With AI-blockchain Healthcare Systems Mobile Health Applications With AI-blockchain Backends Cloud-hybrid Architectures for Scalable Healthcare Solutions API Design and Microservices for Healthcare Blockchain Systems AREA 8: CLINICAL AND PRACTICAL APPLICATIONS Electronic Health Records (EHR) Enhancement With AI Analytics Medical Imaging Analysis With Blockchain-verified Results Drug Discovery and Development Using AI-blockchain Platforms Clinical Decision Support Systems With Explainable AI Telemedicine Platforms With Blockchain Credential Verification Remote Patient Monitoring With AI Analytics and Blockchain Security Mental Health Applications With Privacy-preserving AI Pharmaceutical Supply Chain Management With AI Quality Prediction AREA 9: REGULATORY AND POLICY FRAMEWORKS Regulatory Compliance Strategies for AI-blockchain Healthcare AI in Education and Intelligent Learning Systems AREA 10: ECONOMIC AND BUSINESS MODELS Economic Models for Sustainable Healthcare Blockchain Networks Healthcare Financing and Insurance Claim Processing Automation AREA 11: NLP, KNOWLEDGE GRAPHS, AND MULTIMODAL AI Semantic RAG Context Engineering Vision and Language Transformers AREA 12: AI IN EDUCATION AND INTELLIGENT LEARNING SYSTEMS IN HEALTHCARE Generative AI for Teaching and Learning Large Language Models (LLMs) in Education Agentic AI for Personalized Learning Intelligent Tutoring Systems Adaptive Learning Platforms AI-Powered Assessment and Feedback Learning Analytics and Educational Data Mining AI Literacy and Computational Thinking AI for STEM Education AI in Medical and Healthcare Education AI-Based Curriculum Design Educational Knowledge Graphs and Semantic Learning Multimodal Learning Systems Conversational Agents and Educational Chatbots Virtual Patients and Clinical Simulation Training Digital Twins for Education and Skills Development AI-Supported Research Supervision Explainable AI for Educational Decision-Making Inclusive and Accessible AI in Education Educational Data Privacy and Security Ethics, Governance, and Responsible AI in Education Blockchain for Academic Credentials and Learning Records Human-AI Collaboration in Higher Education AI for Lifelong Learning and Professional Development Evaluation and Quality Assurance of AI Educational Systems Generative AI and Agentic AI for Healthcare Education and Professional Training
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