AI and Intelligent Systems: Engineering, Medicine & Society(AIISEMS)

Aims and Scope

AI and Intelligent Systems: Engineering, Medicine & Society is a peer-reviewed, open-access journal dedicated to exploring the transformative potential of artificial intelligence and intelligent systems across engineering, medicine, and society. The journal serves as a platform for researchers, engineers, medical professionals, and policymakers to contribute high-quality studies that drive scientific and technological advancements in AI and its interdisciplinary applications.

The impact of AI extends far beyond its computational foundations—it is reshaping industries, redefining medical practice, and influencing social structures worldwide. AI and Intelligent Systems: Engineering, Medicine & Society welcomes original research that expands theoretical understanding, develops new methodologies, and proposes tangible solutions to real-world challenges. From AI-driven medical diagnostics to intelligent automation in engineering and ethical considerations in machine learning, our journal covers a broad spectrum of AI research that bridges theory and practice.

We foster a research environment that breaks traditional disciplinary boundaries. Whether it is AI applications in healthcare, computational neuroscience, human-AI interaction, or the socio-economic implications of AI deployment, we encourage submissions that reflect the multidisciplinary nature of artificial intelligence and intelligent systems.

Scope:

Our journal accepts original, high-impact research in areas that include, but are not limited to:

• AI in Healthcare and Medicine: Research on AI-driven diagnostics, predictive analytics, AI-assisted surgery, telemedicine, medical imaging, personalized medicine, drug discovery, bioinformatics, and health informatics.
• Machine Learning in Engineering Applications: Studies on deep learning, reinforcement learning, neural networks, AI-powered robotics, computational intelligence, and AI-driven automation in industrial processes.
• Human-AI Interaction and AI Ethics: Work examining AI usability, trust in AI, responsible AI development, fairness, bias mitigation, interpretability, and human-centered AI design.
• AI for Sustainable Development: Research on AI applications in environmental sustainability, renewable energy, smart grids, climate change modeling, and AI-based solutions for ecological conservation.
• AI in Cybersecurity and Risk Assessment: Studies on AI-driven threat detection, adversarial machine learning, AI-enhanced encryption methods, and cyber-physical security systems.
• Computational Neuroscience and Brain-Computer Interfaces: Research on neuro-AI interactions, AI-driven cognitive modeling, neural prosthetics, and brain-inspired computing.
• AI in Social Sciences and Humanities: Investigations into AI's influence on public policy, law, ethics, psychology, cognitive science, education, and cultural studies.
• AI and Smart Systems: Contributions on edge computing, intelligent transportation, smart cities, AI-driven IoT, and hybrid intelligence systems.
• Generative AI and Decision-Making: Research on large language models, AI-generated content, creative AI, AI for decision support systems, and AI-powered knowledge discovery.
• AI Governance and Regulation: Studies on AI policy frameworks, legal and ethical implications of AI deployment, regulatory standards, and AI risk management.

Types of Manuscripts Accepted:

We welcome a wide range of scholarly contributions, including:

• Original Research Articles: Empirical studies that present new AI algorithms, methodologies, or applications.
• Review Articles: Comprehensive analyses of AI trends, challenges, and future directions.
• Short Communications: Concise reports on novel discoveries, methodologies, or preliminary findings.
• Case Studies: In-depth analyses of AI implementations in real-world scenarios.
• Opinion Pieces: Thought-provoking essays on AI policy, ethics, and emerging challenges.
• Letters to the Editor: Scholarly discussions and critiques of previously published articles.
• Commentaries: Authoritative perspectives on pressing AI issues and debates.
• Methodology Articles: Detailed descriptions of innovative AI models, training techniques, or experimental frameworks.
• Perspectives: Forward-looking articles on AI’s impact across disciplines and industries.
• Research Protocols: Detailed outlines of planned AI studies or experimental frameworks.
• Technical Notes: Reports on novel AI tools, software, or instrumentation.
• Data Articles: Studies presenting datasets and their significance for AI research.
• Special Issues: Collections of thematic research papers edited by domain experts.
• Editorials: Overviews of key themes, trends, and discussions in AI research.
• Conference Proceedings: Selected papers and presentations from AI conferences and symposia.
• Book Reviews: Critical assessments of recent books on AI, machine learning, and related fields.

Geographic Focus:

AI and Intelligent Systems: Engineering, Medicine & Society embraces global research contributions and seeks to address AI-driven challenges in diverse socio-economic and technological contexts. We particularly welcome studies that highlight AI’s role in low- and middle-income countries, emerging economies, and regions where AI innovations can have a significant impact on healthcare, education, governance, and infrastructure.

Publication Ethics and Quality:

We uphold the highest standards of academic integrity and ethical publishing. Every submission undergoes a rigorous double-blind peer-review process to ensure research quality, originality, and relevance. Our editorial board comprises leading experts from various AI-related fields who oversee manuscript evaluations and uphold ethical publishing standards.

As an open-access journal, we are committed to disseminating knowledge freely, ensuring that AI research reaches a broad audience, including researchers, industry professionals, and policymakers. We believe in responsible AI development and encourage work that promotes fairness, transparency, and accountability in AI applications.

If your research aligns with our mission, we invite you to submit your manuscript and become part of our global community dedicated to advancing AI and intelligent systems.

Submit your manuscript to info@opastpublishers.com

For inquiries, reach out to us at info@opastpublishers.comWe are here to support you through the submission process.