Aims & Scope

AI Medicine is an interdisciplinary, peer-reviewed journal that advances research across artificial intelligence, medicine, healthcare, and the biomedical sciences. It gives researchers, clinicians, healthcare professionals, data scientists, engineers, and other specialists a place to share new work on how AI can strengthen disease prevention, diagnosis, treatment, clinical decision-making, and the delivery of care.

The journal accepts original research, review articles, systematic reviews, methodological and clinical studies, technical notes, and other scholarly contributions. Submissions may address either the theoretical foundations of AI in medicine or its practical use in healthcare settings.

We welcome submissions on topics that include, but are not limited to, the following:

• Artificial intelligence and machine learning in medicine
• Deep learning and neural networks
• Generative AI and large language models in healthcare
• Natural language processing and clinical text analysis
• Computer vision and medical image analysis
• Clinical decision support systems
• Predictive analytics and risk prediction
• Digital health and intelligent healthcare systems
• Electronic health records and health data analytics
• Telemedicine and remote patient monitoring
• Precision and personalized medicine
• AI-assisted diagnosis and prognosis
• Medical imaging, radiology, and pathology
• AI in surgery and robotic medicine
• AI applications across medical specialties, including cardiology, neurology, oncology, psychiatry, dermatology, ophthalmology, and pediatrics
• Biomedical engineering and medical devices
• Bioinformatics, computational biology, and genomics
• AI-driven drug discovery and development
• Pharmacology and AI-assisted therapeutics
• Clinical research and trial optimization
• Disease surveillance, epidemiology, and public health
• Healthcare management and resource optimization
• Wearable technologies and the Internet of Medical Things (IoMT)
• Human-AI interaction in healthcare
• Explainable, trustworthy, and responsible AI
• Ethics, privacy, security, and governance of AI in healthcare
• Bias, fairness, and health equity in AI
• Validation, reproducibility, and clinical implementation of AI models
• Emerging AI technologies and future directions in medicine

Responsibility towards clinically valuable innovation is our primary concern, and we encourage those submissions which will demonstrate an integration of innovations of a technical nature with actual medical challenges. The emphasis should be placed on the articles which demonstrate methodological precision, clinical relevance, transparency, and reproducibility of results, with a clear potential for improved patient outcomes.

Multidisciplinary submissions on various aspects of medicine, computer science, artificial intelligence, biomedical engineering, pharmacy, biotechnology, public health and related fields are welcome.