Journal of Digital Health and AI in Healthcare
Journal of Digital Health and AI in Healthcare

Journal of Digital Health and AI in Healthcare an international, peer-reviewed journal that explores the transformative impact of digital technologies and AI on the healthcare industry. Our journal provides a multidisciplinary platform for researchers, clinicians, and healthcare professionals to share their findings and insights, driving the future of digital health and AI applications. JDHAIH publishes original research articles, reviews, case reports, case studies, editorials, insightful commentaries that highlight the innovative use of digital tools in medical practice, multimedia articles for virtual reality and enhanced reality, narratives of implementation experiences and other materials and perspectives that cover a wide array of topics within digital health and AI applications in healthcare. This includes, but is not limited to, AI-driven diagnostics, digital therapeutics, telemedicine, wearable health devices, big data analytics, and personalized medicine. The journal prioritizes high-quality, evidence-based studies that demonstrate clear clinical or operational impact, advancing our understanding of how digital tools can transform healthcare delivery and patient experiences.

Aim

The primary aim of JDHAIH is to foster the integration of digital health and AI technologies into clinical practice and healthcare management. By providing a forum for the latest research and developments, the journal seeks to bridge the gap between technological advancements and their practical applications in healthcare settings. Our goal is to support the creation and adoption of innovative solutions that address current and emerging healthcare challenges, ultimately contributing to the improvement of public health and the efficiency of healthcare systems worldwide.

Scope

Journal of Digital Health and AI in Healthcare publishes articles on fields related to digital medicine and associated disciplines, such as artificial intelligence, informatics, telemedicine, electronic health records (EHR), virtual/extended reality, platform care, wearable health devices, mobile health (mHealth), AI-driven diagnostic tools, among others. The journal welcomes contributions from authors worldwide. A dedicated and engaged editorial board ensures the highest standards of validity and relevance of its published content through rigorous peer review. We invite contributions that explore:

  • Digital Health Technologies: Exploration of emerging digital health tools, including mobile health (mHealth) applications, wearable devices, telehealth platforms, and remote patient monitoring systems
  • Artificial Intelligence (AI) in Clinical Decision Support: Innovations in machine learning and AI algorithms that assist healthcare professionals in diagnosis, treatment planning, and predictive analytics
  • Digital Therapeutics and Interventions: Studies on the development, validation, and clinical implementation of digital therapeutics, including mobile health applications and online interventions
  • Digital Diagnostics and Imaging: Innovations in digital diagnostics, imaging technologies, and AI-driven diagnostic tools
  • Telehealth and Remote Monitoring: Research on telemedicine technologies, including remote patient monitoring systems and virtual care platforms, that expand access to care and improve patient outcomes
  • Telemedicine and Telehealth: Examination of the effectiveness, challenges, and innovations in telemedicine services, virtual care models, and their impact on healthcare access and quality
  • Wearable and Portable Health Technologies: Investigations into wearable devices and portable technologies that track health metrics, support disease management, and enhance preventive care
  • Artificial Intelligence (AI) and Machine Learning (ML) in Healthcare: Research on AI and machine learning applications in medical diagnostics, predictive analytics, personalized medicine, and decision support systems
  • Health Informatics and Data Science: Analysis of big data approaches, including data mining and analytics, that uncover insights from electronic health records, genomic data, and other health-related datasets
  • Patient Engagement and Personalized Medicine: Approaches to leveraging digital tools to increase patient engagement, customize treatments, and enhance the personalization of care
  • Personalized Medicine and Genomics: The role of AI and digital tools in personalized medicine, genomics, biomarker discovery, and precision healthcare
  • Ethical, Legal, and Social Implications (ELSI): Discussions on the ethical, legal, and social considerations of implementing digital health technologies and AI in healthcare, including issues of privacy, security, and equitable access
  • Innovative Healthcare Models: Insights into new healthcare delivery models, such as value-based care, population health management, and the integration of digital tools in public health initiatives
  • Interdisciplinary Research: Collaborations between computer scientists, healthcare professionals, engineers, and policy makers to advance digital health and AI applications