Frontiers in Intelligent Medicine & Health (FIMH) is an international peer‑reviewed, gold open access journal published by StarNexus Science Press (Hong Kong). The journal explores the intersection and integration of artificial intelligence, data science, and digital technologies in medicine and healthcare.
Focus and Scope
Machine learning, deep learning, computer vision, and NLP for disease detection and classification.
Predictive modeling, clinical data mining, wearable device analytics, and population health insights.
Software‑driven evidence‑based interventions, mobile health apps, virtual reality therapy.
Surgical robotics, rehabilitation robots, assistive devices, and human-robot interaction.
Remote consultations, patient monitoring, tele-diagnostics, and health information exchange.
Interpretable models, trust calibration, algorithmic fairness, data privacy, and governance frameworks.
Open Access Policy
FIMH is a Gold Open Access journal:
- Faculty (Lecturer, Professor, Associate Professor): Free
- Students: 90 USD
- Outstanding Papers: 50% of accepted papers selected as Outstanding Papers will receive a full APC waiver
- Complimentary print copy: All accepted papers receive one complimentary hardbound print copy
- Free for readers — all articles are immediately available online.
- Authors retain copyright under CC BY 4.0.
Editor-in-Chief
Executive Editors
Peer Review Process
- Review type: Double-blind peer review.
- Number of reviewers: 3–4 independent experts (avg 3).
- Initial screening: 3–5 business days.
- First decision: 4–6 weeks after peer review.
- Authors may suggest or exclude reviewers.
- Plagiarism screening: iThenticate.
Publication Ethics
- COPE guidelines followed.
- Authorship: AI tools cannot be co-authors.
- Conflicts of interest must be disclosed.
- Retraction policy: Clearly marked with watermarks and reason notices.
- Plagiarism check: iThenticate, similarity ≥25% may lead to rejection.
Print ISSN: XXXX-XXXX | Online ISSN: XXXX-XXXX
Contact the Editorial Office: fimh@starnexus.press | +852 6926 2254