Health Nexus: Digital Health and Medical AI is an international, peer-reviewed, open-access journal dedicated to advancing interdisciplinary research at the intersection of digital health, medical artificial intelligence, clinical medicine, public health, health data science, and healthcare technology.

The journal aims to promote rigorous, responsible, and clinically meaningful research on the development, evaluation, implementation, and governance of digital technologies and artificial intelligence in healthcare. It provides a scholarly platform for researchers, clinicians, engineers, data scientists, public health professionals, policymakers, and other stakeholders to examine how emerging technologies can improve healthcare delivery, clinical decision-making, disease prevention, patient outcomes, health-system efficiency, and equitable access to care.

The journal welcomes theoretical, methodological, empirical, clinical, technical, ethical, legal, and policy-oriented studies. Areas of interest include, but are not limited to:

• Digital health and digital medicine
• Artificial intelligence and machine learning in medicine
• Clinical decision-support systems
• AI-assisted diagnosis, prognosis, and treatment planning
• Medical imaging analysis and computational diagnostics
• Clinical informatics and health information systems
• Telemedicine, telehealth, and virtual care
• Mobile health applications and digital therapeutics
• Wearable devices, biosensors, and remote patient monitoring
• Robotics and intelligent healthcare technologies
• Precision medicine and data-driven healthcare
• Natural language processing and large language models in healthcare
• Electronic health records and real-world health data
• Digital public health and population health informatics
• Health data governance, interoperability, privacy, and cybersecurity
• Ethical, legal, regulatory, and social implications of medical AI
• Bias, fairness, transparency, explainability, and accountability in healthcare algorithms
• Clinical validation, implementation science, and evaluation of digital health interventions
• Human–computer interaction and human-centered healthcare design
• Digital transformation of healthcare systems
• Health equity, accessibility, and inclusion in digital healthcare

The journal particularly encourages research that demonstrates methodological rigor, clinical or public-health relevance, transparent reporting, responsible use of health data, and a clear contribution to the advancement of evidence-based digital healthcare.

Submissions may originate from medicine, nursing, public health, computer science, biomedical engineering, data science, health policy, bioethics, law, behavioral science, and related disciplines. Interdisciplinary and international studies are especially encouraged.