AI in Clinical Medicine

About the Journal

Journal Scope: AI in Clinical Medicine (AICM)

AI in Clinical Medicine (AICM) is an open-access, peer-reviewed journal dedicated to advancing the application of artificial intelligence (AI) in all aspects of clinical practice, medical research, and healthcare delivery. The journal serves as a platform for clinicians, researchers, data scientists, and policymakers to explore the transformative potential of AI-driven technologies in improving patient outcomes, optimizing workflows, and enhancing medical decision-making.

Submissions Invitation

We welcome original research, reviews, case studies, and perspectives covering, but not limited to, the following topics:

• AI in Diagnostics and Imaging: Machine learning, deep learning, and computer vision applications in radiology, pathology, dermatology, and other diagnostic specialties.
• Predictive Analytics and Personalized Medicine: AI-driven risk assessment, early disease detection, and precision treatment strategies.
• Clinical Decision Support Systems: AI-powered tools to assist physicians in diagnosis, treatment planning, and therapeutic interventions.
• Natural Language Processing (NLP) in Medicine: AI applications for medical documentation, electronic health records (EHRs), and clinical data extraction.
• Robotics and Automation in Healthcare: AI-enhanced robotic surgery, rehabilitation, and automated clinical procedures.
• AI in Drug Discovery and Development: Machine learning applications in pharmaceutical research, biomarker identification, and clinical trial optimization.
• Ethical, Regulatory, and Societal Implications: Bias in AI models, explainability, regulatory compliance, and patient safety concerns.
• Telemedicine and AI-powered Remote Monitoring: AI in virtual healthcare, wearable technology, and chronic disease management.
• Integration of AI into Healthcare Systems: Implementation challenges, interoperability, and the role of AI in hospital administration and patient care efficiency.