About the Journal
Welcome to the Journal of Artificial Intelligence in Healthcare & Life Sciences (JAIHL).
JAIHL is an international, peer-reviewed, open-access journal publishing high-quality research at the intersection of artificial intelligence, healthcare, and life sciences. The journal serves as a scholarly platform for original research articles, reviews, and methodological innovations applying computational intelligence to biomedical and clinical domains.
JAIHL promotes interdisciplinary dialogue among researchers, clinicians, data scientists, and industry professionals, supporting the responsible and impactful integration of AI technologies in healthcare and life science research.
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Submissions Open — Inaugural Volume (Vol. 1, 2026)
JAIHL is now accepting manuscripts for its first volume. We welcome original research articles, review articles, methodological/technical papers, and short communications from researchers, clinicians, and data scientists working across AI and the health sciences.
- Deadline: Submissions for Volume 1 (2026) close August 31, 2026
- Fees at submission: None. A modest APC applies only after acceptance.
- Review: Double-anonymized, by a minimum of two independent subject-matter reviewers
➡ Register and submit your manuscript · Read the full Call for Papers
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Call for Editorial Board Members & Reviewers
JAIHL is building its founding Editorial Board and reviewer pool ahead of Volume 1. Researchers and clinicians in AI, healthcare, and life sciences are invited to register and get in touch.
As JAIHL prepares its inaugural volume, we are inviting researchers, clinicians, and data scientists working across artificial intelligence, healthcare, and life sciences to join our founding Editorial Board and reviewer pool.
We are particularly looking for expertise across our core focus areas: medical AI and diagnostics, drug discovery and genomics, clinical decision support, healthcare data science, public and global health AI, and AI ethics and governance.
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Aims & Scope at a Glance
JAIHL welcomes interdisciplinary contributions across six core areas:
- Medical AI & Diagnostics — imaging, digital pathology, diagnostic and prognostic models
- Drug Discovery & Genomics — machine learning for drug design, genomics, proteomics, precision medicine
- Clinical Decision Support Systems — treatment recommendation, workflow optimization, risk stratification, precision oncology
- Healthcare Data Science — NLP for electronic health records, biomedical text mining, knowledge graphs, large-scale analytics
- Public & Global Health AI — epidemiology, disease surveillance, population health modeling, health policy
- AI Ethics, Governance & Translational Research — fairness, transparency, explainability, regulatory pathways for clinical AI
See the full Aims & Scope for details.
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Why Publish With JAIHL?
- Global Open Access — Every article is published under a CC BY 4.0 license. Authors retain copyright; readers get free, unrestricted access from day one.
- Fair, Rigorous Review — Double-anonymized peer review by independent subject-matter experts; editorial decisions are based solely on scientific merit.
- Founding Volume Recognition — Authors published in Volume 1 become part of JAIHL's founding record, with strong visibility as the journal and its readership grow.
- Ethics You Can Trust — Editorial policy is aligned with COPE guidelines, the Declaration of Helsinki, and the ARRIVE reporting standards.
- Long-Term Preservation — Published content is archived through the PKP Preservation Network, ensuring permanent accessibility.