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:
- APC: 1,100 USD (high-income) / 550 USD (middle-income). Launch discounts: 40% off (2026), 30% off (2027), 20% off (2028).
- Free for readers — all articles are immediately available online.
- Authors retain copyright under CC BY 4.0.
Editor-in-Chief
Executive Editor
With over 76 published articles (including 25 in ISI-indexed journals), 4 specialized books, and an H-index of 11, Prof. Giurgiulescu brings extensive expertise in biotechnological processes and quality control. He has completed an international specialization at the Jules Guyot Institute in Dijon, France (World Bank program), and serves as a peer reviewer for multiple international journals.
Research Areas: Food Biotechnology, Fermentation Technology, Wine Technology, Microbiology, Food Safety, Bioprocess Engineering.
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