International Journal of Medical AI and Intelligent Diagnostics (IJMAID) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research in the fields of artificial intelligence in medicine, intelligent diagnostic systems, and healthcare technology innovation. The journal provides a platform for clinicians, researchers, academicians, and technology experts to share cutting-edge developments, evidence-based practices, and computational advancements that enhance modern medical diagnostics and patient care.
The journal emphasizes interdisciplinary research and encourages contributions that integrate medical science with emerging technologies such as artificial intelligence, machine learning, deep learning, computer vision, and health informatics. It aims to promote global knowledge exchange and foster innovation to address current and future challenges in disease diagnosis, clinical decision-making, and healthcare systems.
Like leading scholarly journals, IJMAID focuses on scientific rigor, originality, and clinical relevance, ensuring that published work contributes meaningfully to improving diagnostic accuracy, efficiency, and overall healthcare outcomes.
The International Journal of Medical AI and Intelligent Diagnostics (IJMAID) aims to serve as a leading platform for disseminating high-quality research and innovative developments in AI-driven healthcare and diagnostic technologies. The journal is committed to advancing medical knowledge by publishing original research articles, systematic reviews, case studies, and technical reports that contribute to intelligent and data-driven medical practices.
The scope of the journal includes a broad range of clinical and technological domains such as diagnostic radiology, pathology, predictive analytics, clinical decision support systems, and AI-assisted medical imaging, along with emerging areas like deep learning applications, natural language processing in healthcare, and automated disease detection systems.
The journal also welcomes interdisciplinary research in areas such as precision medicine, personalized diagnostics, biomedical signal processing, wearable diagnostic technologies, healthcare data analytics, and medical robotics. Special emphasis is placed on innovations that improve early detection, diagnostic accuracy, and patient-centered care.
IJMAID particularly encourages submissions that bridge the gap between traditional diagnostic methods and intelligent computational approaches. It supports research that contributes to efficient, scalable, and accessible diagnostic solutions aligned with global healthcare needs.
By maintaining a rigorous peer-review process and high editorial standards, the journal ensures that all published work significantly contributes to the advancement of AI-driven medical diagnostics.
Peer Review Policy
The International Journal of Medical AI and Intelligent Diagnostics (IJMAID) follows a strict double-blind peer-review process to ensure the quality and integrity of published research. All submitted manuscripts undergo an initial editorial screening followed by evaluation by independent experts in relevant fields.
Decisions regarding acceptance or rejection are based on originality, technical quality, clinical relevance, and reviewer recommendations.
The journal is published bi-annually, with two issues each year:
- Issue 1: January – June
- Issue 2: July – December
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