Journal Topics

• • AI-driven diagnostics and imaging
• • Predictive analytics and machine learning in medicine
• • Robotic surgery and AI in clinical procedures

The Journal of AI Applications in Medicine (JAIAM) is an online, peer reviewed, open access journal dedicated to the dynamic and rapidly evolving intersection of AI technologies and their applications in medical and healthcare settings. With the rapid integration of AI across diagnostics, treatment, and healthcare management, JAIAM offers a critical platform for researchers, clinicians, data scientists, and innovators to present their groundbreaking work. Our mission is to accelerate the adoption of AI by highlighting its potential to transform patient care, improve health outcomes, and optimize operational efficiency in medical settings.

JAIAM publishes research articles, reviews, commentaries, case reports, clinical images, short communications, editorials and letters to the editor. JAIAM strives to be at the forefront of advancing AI methodologies that address real world healthcare challenges. From AI-driven precision medicine to robotic surgery, our journal showcases diverse contributions from interdisciplinary fields. Whether your focus is on machine learning, deep learning, predictive analytics, or ethical considerations in AI, this journal provides a space for global thought leaders to share novel research, reviews, and insights. Through our rigorous peer review process, JAIAM ensures that each article upholds the highest standards of scientific integrity and quality.

We strongly support open access, ensuring all published work is freely available worldwide. Articles are licensed under Creative Commons Attribution 4.0, allowing unrestricted sharing with proper attribution.

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