The Journal of Artificial Intelligence in Medicine & Public Health by Tulitics is set to officially launch in June 2026, marking a significant step toward advancing interdisciplinary research at the convergence of healthcare and artificial intelligence.
Key Highlights:
- A global platform dedicated to AI-driven innovation in healthcare systems.
- Focus on bridging theoretical research with real-world clinical and public health applications.
- Encourages interdisciplinary collaboration between clinicians, data scientists, epidemiologists, and AI researchers.
- Aims to support evidence-based innovation for improving global health outcomes.
- Emphasis on ethical, responsible, and transparent AI in healthcare.
The journal is now welcoming high-quality submissions from researchers worldwide.
Accepted Submission Types:
- Original research articles
- Systematic reviews and meta-analyses
- Clinical case studies
- Short communications and technical notes
- Policy and implementation papers
- Data-driven healthcare models and AI algorithms
Focus Areas Include:
- AI in disease diagnosis and prediction
- Machine learning in medical imaging
- Public health surveillance systems
- Predictive analytics in epidemiology
- Digital health and telemedicine innovations
- Health informatics and big data applications
- AI ethics, bias, and fairness in healthcare systems
Submission Benefits:
- Rigorous and transparent peer-review process
- Open-access publication for global visibility
- Fast yet quality-driven editorial review cycle
- Indexed publication roadmap (future inclusion plans)
- Global readership across academia and healthcare sectors
The journal is assembling an international editorial board consisting of experts across medicine, public health, artificial intelligence, and biomedical engineering.
Editorial Board Responsibilities:
- Ensuring scientific quality and integrity of publications
- Overseeing peer-review processes
- Guiding journal scope and thematic direction
- Supporting special issue development
- Promoting ethical research standards
Board Composition:
- Senior clinicians and medical researchers
- AI and machine learning experts
- Public health policy specialists
- Data science and bioinformatics professionals
- Academic and industry leaders in digital health
Additional Value:
- Recognition as a thought leader in a fast-growing research domain
- Networking opportunities with global experts
- Contribution to shaping future healthcare research standards
Tulitics will host a series of academic and professional engagement events to strengthen collaboration in the global research community.
Planned Activities:
- International webinars featuring keynote speakers
- Hands-on workshops on AI tools in healthcare
- Annual and thematic research conferences
- Panel discussions on healthcare innovation
- Student and early-career researcher sessions
Core Themes:
- AI for clinical decision support systems
- Public health data analytics and modeling
- Digital transformation in healthcare systems
- Responsible and explainable AI (XAI)
- Emerging technologies in global health
Benefits for Participants:
- Direct interaction with global experts
- Presentation and publication opportunities
- Certification of participation
- Networking with academic and industry leaders
- Exposure to cutting-edge research trends
The journal invites experienced researchers and professionals to contribute as peer reviewers.
Reviewer Roles:
- Evaluate submitted manuscripts for quality and originality
- Provide constructive feedback to authors
- Support editorial decision-making
- Help maintain academic and ethical standards
Eligibility Criteria:
- PhD or equivalent research experience (preferred)
- Publications in relevant fields (medicine, AI, public health, data science)
- Experience in academic reviewing or research evaluation
- Strong understanding of scientific methodology
Benefits of Becoming a Reviewer:
- Official recognition as part of the editorial ecosystem
- Certificate of contribution and academic service
- Early access to emerging research
- Opportunity to influence future scientific directions
- Networking with global research community
We showcase pioneering research that is shaping the future of healthcare and AI.
Featured Areas:
- AI-powered diagnostic systems
- Predictive healthcare analytics
- Real-world clinical applications
- Public health intervention studies
- Precision and personalized medicine
- Cross-disciplinary healthcare innovations
Our goal is to highlight research that delivers real-world impact, scalability, and scientific advancement.
