Special Issue
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Topic: The Future of Artificial Intelligence in Intensive Care Medicine
A Special Issue of Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
Submission deadline: 31 Dec 2025
Guest Editor
Special Issue Introduction
The integration of artificial intelligence (AI) into intensive care medicine heralds a transformative era in critical care, offering unprecedented opportunities to enhance patient outcomes, optimize clinical workflows, and address systemic challenges in ICUs. This Special Issue, “The Future of Artificial Intelligence in Intensive Care Medicine,” seeks to explore cutting-edge advancements, practical applications, and ethical considerations shaping this rapidly evolving field. As ICUs grapple with high-stakes decision making, resource constraints, and data complexity, AI-driven tools—from predictive analytic to real-time monitoring systems—hold immense potential to revolutionize care delivery. The scope of this issue encompasses both technological innovations and transitional challenges of implementing AI in clinical settings.
Key Topics include but are not limited to the following:
● AI-driven predictive modeling for sepsis, organ failure, and mortality risk.
● Early detection algorithms for clinical deterioration or complications.
● Personalized treatment recommendations leveraging multimodal data (e.g., EHRs, imaging, biomarkers).
● Human-AI collaboration, focusing on clinician trust, interpretability, and workflow integration.
● Real-world implementation studies evaluating the impact on patient outcomes, costs, and clinician burden.
We invite original research, reviews, and perspectives from interdisciplinary teams of clinicians, data scientists, ethicists, and policymakers. By bridging innovation with practicality, this issue aims to chart a roadmap for ethically sound, scalable AI solutions that will redefine intensive care in the digital age.
Submissions should emphasize rigorous validation, clinical relevance, and actionable insights to propel AI from bench to bedside in critical care.
Submission Deadline
Submission Information
For Author Instructions, please refer to https://www.oaepublish.com/ais/author_instructions
For Online Submission, please login at https://www.oaecenter.com/login?JournalId=ais&IssueId=ais25022210028
Submission Deadline: 31 Dec 2025
Contacts: Abby Zhang, [email protected]