Adele Marshall, Queen's University Belfast

Laura Boyle, Queen's University Belfast

Sally Brailsford, University of Southampton

Erwin Hans, University of Twente

Brian Denton, University of Michigan

Martin Kunc, University of Southampton

Healthcare systems globally face mounting challenges from aging populations and workforce constraints while simultaneously benefiting from expanding digital health data and artificial intelligence capabilities. This special issue explores how Operational Research and AI methods can be combined to improve healthcare planning, delivery, and evaluation. Building on prior work examining the OR-AI interface, this collection focuses specifically on healthcare applications where reliable and verifiable AI is critical.

The special issue seeks original research demonstrating substantive contributions at the intersection of OR and AI in healthcare contexts. Submissions should include methodological advances, applied studies with measurable practical value, and work addressing real-world implementation challenges. Papers focused solely on optimization or simulation without significant AI integration may be more appropriate for other venues.

Appel publié par Journal of the Operational Research Society. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Machine learning and predictive modelling for patient flow, demand forecasting, and clinical decision support integrated with OR
• Large language models, generative AI, and retrieval-augmented generation for extracting modelling insight from unstructured clinical documents and health records
• Reinforcement learning and approximate dynamic programming for sequential decisions in screening, treatment, and care planning
• Generative approaches to synthetic health data for modelling and privacy-preserving analysis
• Optimisation of healthcare resources including workforce planning, scheduling, and capacity management using integrated AI and OR methodologies
• Hybrid simulation–AI approaches for the design and evaluation of care delivery
• Data-driven and digital-twin models of care pathways and healthcare delivery
• Statistical and stochastic modelling of patient journeys and survival
• AI-enhanced planning and delivery of care in emergency, unscheduled, and elective settings
• Personalised and stratified care through AI-enabled pathways, screening, prevention, and chronic disease management
• Human–AI collaboration in clinical and operational decision-making
• Trustworthy AI in health addressing equity, ethics, transparency, and verification
• Implementation and evaluation of OR/AI models in healthcare practice

Timeline

• Invalid DateTime: Expected publication
• January 15, 2027: Submission deadline
• April 1, 2027: First-round decisions

Malek Masmoudi, University of Sharjah

Patrick Siarry, Université Paris-Est Créteil

Omar Tujjar, International Society of Medical AI (ISMAI)

This special issue focuses on the integration of large language models and agentic AI systems in healthcare. The issue invites research on how these autonomous, reasoning-capable technologies can transform clinical practice, hospital operations, and healthcare management while promoting patient-centered care and sustainability.

Healthcare organizations increasingly deploy AI agents that combine perception of diverse clinical data with capabilities like planning, tool use, and collaboration to support clinicians, patients, researchers, and administrators. As adoption grows, rigorous evaluation and trustworthiness become critical to ensure these systems remain safe, auditable, and aligned with clinical standards.

The special issue welcomes original research articles, position papers, and validated case studies on both technical topics such as architectures and algorithms, and socio-technical topics including ethics, policy, and human factors across all stages of agentic AI deployment in healthcare.

Appel publié par Expert Systems. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Foundations, Architectures, and Frameworks for Agentic AI in Healthcare
• LLM-Based Clinical Decision Support and Diagnostic Reasoning
• Multi-Agent Systems and Collaborative Healthcare Intelligence
• Multimodal Perception in Healthcare Agents
• Patient-Centered Agents and Digital Health Engagement
• Robotic and Computer-Assisted Surgery with Agentic AI
• Healthcare Operations, Administration, and Workflow Automation
• Drug Discovery, Biomedical Research, and Clinical Trials
• Evaluation, Safety, Trust, and Explainability of Healthcare Agents
• Ethics, Regulation, Governance, and Sustainable AI Deployment

Timeline

• January 31, 2027: Submission deadline

Eva K. Lee, Georgia Institute of Technology

Ariela Sofer, George Mason University

This special section showcases optimization and computational approaches applied to medical and biological challenges. It aims to bring together mathematical programming researchers and healthcare professionals to address complex decision problems in medicine, from medical devices to clinical data analysis.

The special section welcomes theoretical and methodological research on optimization models and algorithms, including continuous, integer, combinatorial, and stochastic methods, applied to healthcare and life sciences. Topics of interest span disease modeling, diagnosis, treatment planning, medical imaging, epidemiology, and molecular biology.

Appel publié par Annals of Operations Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Disease modeling
• Medical diagnosis
• Treatment planning
• Biological and medical imaging
• Epidemiology
• Molecular biology
• Linear and nonlinear optimization
• Integer programming
• Combinatorial optimization
• Stochastic optimization

Timeline

• Invalid DateTime: Submission deadline

Appel publié par Journal of International Accounting, Auditing and Taxation. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• January 1, 2027: Submission deadline

This Journal of Enterprise Information Management Special Issue seeks to understand Agentic Artificial Intelligence and Generative AI (GenAI) in healthcare, and how these technologies impact the governance, strategy, and value creation of healthcare organizations. In technological innovation, digital technologies are reconfiguring value creation processes and prompting organizations to develop new adaptive strategies. In healthcare, this transformation is driving the adoption of innovative solutions to enhance value for stakeholders while supporting more personalised, predictive, and preventive models of care. AI and GenAI are emerging as strategic levers for optimising resource allocation, supporting new care delivery paradigms, and accelerating research and development. The rapid emergence of Agentic AI systems introduces a further step in this transformation, with AI technologies moving from reactive tools towards semi-autonomous systems able to plan, coordinate and monitor actions across complex organizations.

Appel publié par Journal of Enterprise Information Management. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• How are GenAI and Agentic AI reshaping clinical, administrative, and managerial workflows in healthcare organizations?
• How do healthcare organizations govern Agentic AI systems across care pathways?
• What organizational capabilities are needed to move from experimental GenAI applications to integrated and scalable Agentic healthcare systems?
• How can healthcare organizations ensure meaningful human oversight when AI systems become more autonomous, proactive, and embedded in clinical or administrative processes?
• How do GenAI and agentic AI create, capture, or potentially destroy value for different healthcare stakeholders?
• How do Agentic and GenAI systems transform healthcare knowledge management?
• How can healthcare organizations evaluate and measure the clinical, organizational, economic, ethical, and societal value generated by GenAI and Agentic AI adoption?
• What governance mechanisms are needed to ensure accountability, transparency and regulatory compliance in AI-enabled healthcare organizations?
• How do GenAI and Agentic AI affect decision-making processes within healthcare organizations?
• How can healthcare organizations manage risks related to automation bias, inequitable outcomes and over-reliance on AI?
• How do agentic AI and GenAI support healthcare system sustainability?

Timeline

• January 1, 2027: Opening date for manuscript submissions
• June 30, 2027: Closing date for manuscript submissions