Aim
The journal provides a multidisciplinary platform for researchers, clinicians, healthcare professionals, data scientists, engineers, public-health specialists, and health-system researchers to report advances that improve diagnosis, prevention, treatment, monitoring, patient engagement, healthcare quality, clinical decision-making, and health-system performance.
The journal welcomes original research, systematic and scoping reviews, meta-analyses, clinical studies, observational studies, clinical trials, methodological studies, case reports and case series involving digital health or AI applications, technical reports, brief communications, perspectives, commentaries, and implementation studies.
Scope
Journal of Digital Health and AI 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 in Specific Clinical and Healthcare Domains: Cardiology; Oncology; Neurology and neuroscience; Psychiatry and mental health; Radiology; Pathology; Surgery; Emergency medicine; Critical care; Primary care; Pediatrics; Geriatric medicine; Women's health; Infectious diseases; Endocrinology; Pulmonology; Gastroenterology; Nephrology; Dermatology; Ophthalmology; Rehabilitation; Nursing and allied health; Pharmacy and medication management; Dentistry and oral health; Public health
- 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
AUTHOR TESTIMONIALS
Trusted by Researchers
Experiences from authors who have published with SCIVOLVE.
I had a very positive experience working with the Journal of Case Reports and Reviews in Medicine. The publication process was quick and well organized, every step was clearly explained, and the editorial team was always responsive and helpful.
I really enjoyed communicating with the editorial staff. The editorial team provided clear and efficient communication throughout the process. The manuscript submission process was straightforward, and the editorial team made it easy to address the necessary corrections. I appreciated the professional, patient, and supportive approach of the editorial staff, which has encouraged me to consider publishing my future work.
I had an excellent experience publishing my manuscript with the journal. The communication with the editorial team was clear, professional, and efficient throughout the entire publication process. I truly appreciated their support and responsiveness.
The journal team handled the manuscript carefully and maintained clear communication throughout the editorial process. It was a positive experience publishing our research with SCIVOLVE.
From submission to final publication, the process was organized and easy to follow. The editorial communication made the overall experience straightforward and professional.