
Periodic Reviews on Artificial Intelligence in Health Informatics
About the journal
Recent Articles
AI-Assisted Diagnostics for Rural and Underserved Communities: Bridging Healthcare Gaps
Journal Insights
The Periodic Reviews on Artificial Intelligence in Health Informatics is a comprehensive open-access journal that provides in-depth reviews and critical analyses of the latest advancements in artificial intelligence (AI) as applied to health informatics. The journal aims to serve as a trusted source for healthcare professionals, researchers, and technologists who seek to understand the role of AI in revolutionizing healthcare systems, patient care, and medical research.
The journal focuses on synthesizing the latest trends, technologies, and innovations in AI that are transforming the health informatics landscape. By offering periodic reviews of current developments, the journal provides insights into how AI is being integrated into electronic health records, medical diagnostics, predictive analytics, and personalized medicine. Contributions that explore ethical considerations, regulatory challenges, and practical applications of AI in healthcare are particularly welcomed.
Types of Manuscripts
Review Articles: Comprehensive and critical analyses of the current state of AI in health informatics, focusing on emerging trends, technologies, and applications.
Technology Overviews: Detailed explorations of cutting-edge AI technologies and their potential or actual impact on health informatics.
Case Studies: Practical examples of AI implementations in healthcare settings, providing insights into the challenges and successes of integrating AI in clinical workflows.
Ethical and Regulatory Analyses: Articles that address the ethical, legal, and regulatory considerations involved in deploying AI in healthcare environments.
The journal’s mission is to contribute to the broader understanding of AI’s role in health informatics by offering valuable, up-to-date knowledge that informs both academia and the healthcare industry.
- • AI in Electronic Health Records (EHR) Systems
- • Predictive Analytics for Health Outcomes
- • Machine Learning in Medical Diagnostics
- • Natural Language Processing in Healthcare
- • AI for Personalized Medicine
- • Robotic Process Automation in Healthcare
- • Deep Learning for Medical Imaging
- • Decision Support Systems in Clinical Settings
- • AI in Population Health Management
- • Data Privacy and Security in AI Healthcare Applications
- • AI for Remote Monitoring and Telemedicine
- • Ethics and AI in Health Informatics
- • AI for Drug Discovery and Development
- • Wearable Devices and AI for Health Monitoring
- • Regulatory and Legal Frameworks for AI in Healthcare
This journal offers authors the choice to publish their work open access. To publish open access, an Article Publishing Charge (APC) applies.
- • Google Scholar
- • Directory of Open Access Journals (DOAJ)
Journal Metrics
- Refereed: Yes
- Review Speed: 4-6 Weeks
- Acceptance Rate: 35%
- Frequency: Every Two Months
