Editor-in-Chief: Prof. Yu-Dong Yao, Stevens Institute of Technology, USA.
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Aims & Scope
Aims:
AI Medicine is a peer-reviewed and open-access journal dedicated to the dissemination of high-quality research at the confluence of artificial intelligence, healthcare, and medical systems. The journal is committed to fostering a multidisciplinary approach, bridging the gap between cutting-edge AI technologies and their practical applications within medical contexts. It welcomes submissions comprising concise technical notes, full-length research papers, and in-depth review articles. It is published quarterly online by Scilight Press.
Scope:
AI Medicine serves as a premier platform for the publication of research and applications in artificial intelligence, machine learning, deep learning, and mathematical modeling and analysis. It facilitates the exchange of knowledge across various domains of medicine and healthcare by covering a wide array of topics, including but not limited to:
- Medical Image Analysis (e.g., AI-driven techniques for enhancing, interpreting, and analyzing medical images)
- Medical Data Analysis (e.g., AI for large-scale health data analytics)
- Personalized Medicine (e.g., Utilization of AI for genomics and personalized treatment strategies)
- Wearable Medical Devices (e.g., AI algorithms for real-time health monitoring)
- Telehealth and Remote Monitoring (e.g., AI applications in telemedicine services for diagnosis, treatment, and patient engagement.)
- Robotics and Prosthetics (e.g., AI in surgical robotics)
- Clinical Decision Support Systems (e.g., AI systems offering evidence-based decision-making assistance for clinicians)
- Healthcare Operations and Management (e.g., AI for hospital and healthcare facility management)
- Pharmaceutical Research and Drug Discovery (e.g., Machine learning for drug design and repurposing)
- Public Health and Epidemiology (e.g., AI for disease surveillance, outbreak prediction, and analysis of health trends)