Aims & Scope

Frontiers in Intelligent Medicine & Health (FIMH)

ISSN: XXXX-XXXX (Print) | XXXX-XXXX (Online)

Frontiers in Intelligent Medicine & Health (FIMH) is an international peer‑reviewed, gold open access journal dedicated to advancing the integration of artificial intelligence, data science, and digital technologies in medicine and healthcare. We publish original research, critical reviews, case studies, and clinical validations that bridge the gap between intelligent systems and real‑world health applications.

Core Areas of Interest

AI‑Assisted Diagnosis

Machine learning, deep learning, computer vision, and NLP for disease detection, classification, and prediction.

Health Data Analytics

Predictive modeling, clinical data mining, wearable device analytics, and population health insights.

Digital Therapeutics

Software-driven evidence-based interventions, mobile health apps, virtual reality therapy, and clinical validation.

Medical Robotics

Surgical robotics, rehabilitation robots, assistive devices, autonomous systems, and human-robot interaction.

Telemedicine

Remote consultations, patient monitoring, tele-diagnostics, and health information exchange infrastructure.

Explainable AI & Medical Ethics

Interpretable models, trust calibration, algorithmic fairness, data privacy, and governance frameworks.

Interdisciplinary Mission

FIMH actively encourages contributions that bridge multiple disciplines. We are particularly interested in work that:

Combines clinical expertise with AI and data science methods
Integrates digital health tools into routine clinical practice
Validates AI models in real‑world healthcare settings
Addresses ethical, legal, and social implications of AI in medicine
Promotes equitable access to intelligent health technologies

We welcome both conceptual and empirical studies, as well as clinical validation studies, software descriptions, and policy analyses.

3–4

weeks to first decision

25–30%

acceptance rate

reviewers per manuscript