

The Journal of AI and Integrative Medicine (JAIIM) aims to advance scientific knowledge and innovation by publishing high-quality, peer-reviewed research on the application of artificial intelligence and related digital technologies in evidence-based integrative healthcare. The journal provides an international, interdisciplinary platform for the dissemination of research that supports the development of intelligent, safe, effective, and patient-centered healthcare solutions through collaboration across medicine, biomedical sciences, engineering, computer science, public health, and allied health disciplines.
JAIIM seeks to promote research that enhances disease prevention, diagnosis, treatment, rehabilitation, and healthcare delivery through the responsible integration of artificial intelligence, clinical expertise, and evidence-based medical practices.
The journal welcomes original research, systematic reviews, meta-analyses, clinical studies, case reports, technical notes, short communications, perspectives, editorials, and other scholarly contributions in, but not limited to, the following areas:
Machine Learning and Deep Learning
Generative Artificial Intelligence
Explainable Artificial Intelligence (XAI)
Clinical Decision Support Systems
Predictive Analytics and Risk Prediction
Natural Language Processing in Healthcare
Computer Vision and Medical Image Analysis
Digital Health Technologies
Electronic Health Records (EHR)
Clinical Informatics
Mobile Health (mHealth)
Telemedicine and Telehealth
Remote Patient Monitoring
Wearable Health Technologies
Internet of Medical Things (IoMT)
Precision Medicine
Personalized Healthcare
Genomics and Multi-omics
Pharmacogenomics
Biomarker Discovery
Systems Medicine
Evidence-Based Integrative Medicine
Lifestyle Medicine
Nutrition Science and Clinical Nutrition
Preventive Medicine
Rehabilitation Medicine
Mind–Body Medicine
Scientifically Validated Complementary Therapies
Integrative Oncology
Integrative Mental Health
Translational Medicine
Drug Discovery and Development
Biomedical Engineering
Medical Devices
Robotics in Healthcare
Clinical Research Methodology
Biomedical Data Science
Public Health Informatics
Population Health
Epidemiology
Healthcare Quality and Safety
Health Policy and Digital Health Governance
Artificial Intelligence in Global Health
Ethical Artificial Intelligence
AI Governance and Regulation
Data Privacy and Security
Bias, Fairness, and Transparency in AI
Responsible Innovation
Regulatory Science for AI-Based Medical Technologies
JAIIM serves researchers, clinicians, physicians, surgeons, biomedical scientists, data scientists, engineers, pharmacists, nurses, allied health professionals, public health experts, healthcare administrators, policymakers, educators, and industry professionals engaged in advancing artificial intelligence and evidence-based integrative healthcare.
The journal encourages interdisciplinary collaboration and welcomes submissions from academic institutions, healthcare organizations, research institutes, government agencies, and industry partners worldwide.
The Journal of AI and Integrative Medicine invites high-quality original research, reviews, clinical studies, and interdisciplinary contributions in artificial intelligence and healthcare.
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