About the Journal

Journal Scope: Artificial Intelligence in Clinical Medicine

Artificial Intelligence in Clinical Medicine 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.

Areas of Interest:

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.

Article Types:

The journal publishes original research articles, systematic reviews, meta-analyses, clinical case studies, short communications, and expert perspectives. Special thematic issues may be introduced to highlight emerging trends and innovations in the field.

Audience:

This journal is intended for medical practitioners, AI researchers, data scientists, biomedical engineers, healthcare administrators, and policymakers interested in the intersection of AI and clinical medicine.

Artificial Intelligence in Clinical Medicine aims to foster interdisciplinary collaboration and drive evidence-based advancements in AI for healthcare, ensuring its responsible and effective integration into clinical practice.