Health Nexus: Digital Health and Medical AI is an international, peer-reviewed, open-access journal published by Panorama Scholarly Group. The journal focuses on interdisciplinary research at the intersection of digital health, medical artificial intelligence, clinical informatics, health data science, and technology-enabled healthcare innovation.

The journal aims to provide a rigorous academic platform for researchers, clinicians, engineers, data scientists, public health scholars, and policy specialists to examine how digital technologies and artificial intelligence are transforming healthcare systems, medical research, clinical decision-making, patient care, and public health practice.

Aims of the Journal

The journal is committed to advancing responsible, evidence-based, and clinically meaningful innovation in digital medicine and medical AI. It welcomes high-quality research that contributes to the development, evaluation, governance, and ethical application of digital health technologies in diverse healthcare contexts.

Scope

The scope of the journal includes, but is not limited to, the following areas:

• Digital health and digital medicine
• Medical artificial intelligence and machine learning
• Clinical decision support systems
• AI-assisted diagnosis and prognosis
• Medical imaging analysis and computational diagnostics
• Telemedicine, mobile health, and remote patient monitoring
• Wearable technologies and sensor-based healthcare
• Health data science and clinical informatics
• Precision medicine and data-driven healthcare
• Digital public health and health system transformation
• Health data governance, privacy, and security
• Ethical, legal, and regulatory issues in medical AI
• Human-centered design and implementation of digital health technologies

Article Types

The journal publishes original research articles, review articles, systematic reviews, methodological papers, case studies, perspectives, commentaries, and other scholarly contributions relevant to digital health and medical artificial intelligence.

Editorial Standards

Health Nexus: Digital Health and Medical AI follows a peer-review process and is committed to academic integrity, publication ethics, transparency, and responsible research practice. Manuscripts are evaluated on the basis of originality, methodological rigor, relevance to the journal’s scope, ethical compliance, and contribution to the advancement of digital healthcare and medical AI.

Open Access

The journal is published as an open-access journal. All published articles are made freely available to readers, supporting the dissemination of scientific knowledge and the global exchange of research in digital health and medical AI.