Scope & Focus Areas:

JOMDSAI publishes high-quality research covering, but not limited to:
AI-Driven Diagnostics & Predictive Analytics – Machine learning, deep learning, and statistical models for disease prediction and early detection.
Medical Imaging & Computer Vision – AI applications in radiology, pathology, and real-time medical imaging.
AI in Critical Care & Anesthesiology – Decision-support systems, automation in intensive care, and predictive models for patient management.
Big Data & Bioinformatics in Medicine – Genomics, precision medicine, and computational biology approaches to healthcare.
Clinical Decision Support Systems (CDSS) – AI-powered tools enhancing clinician decision-making and personalized treatments.
Ethics, Bias, & AI Transparency in Healthcare – Algorithmic fairness, interpretability, and responsible AI deployment in medical settings.
Wearable & IoMT (Internet of Medical Things) – AI integration with wearable sensors, remote monitoring, and real-time patient data analysis.
Natural Language Processing (NLP) in Medicine – AI models for medical records, chatbot-assisted diagnosis, and automated clinical documentation.

Why Publish with JOMDSAI?

Global Reach & Open-Access – Ensuring unrestricted access to knowledge for researchers, clinicians, and AI developers worldwide.
High-Impact Research – Focused on real-world clinical applications, bridging the gap between AI theory and medical practice.
Rigorous Peer Review – A double-blind review process led by experts in AI, data science, and healthcare.
Early-Career Researcher Support – APC waivers and funding opportunities for young scientists, especially from low-resource settings.
Fast & Transparent Publishing – Efficient editorial workflow with rapid yet thorough review cycles.

As an initiative under Data Science and Artificial Intelligence Division, Department of Anesthesiology and Intensive Therapy, Medical Faculty of Udayana University, JOMDSAI aims to position itself as the premier academic journal in medical AI and data science across Southeast Asia and beyond.

Join us in shaping the next frontier of AI-driven healthcare innovation!