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International Journal of Artificial Intelligence in Medicine and Healthcare : Open Access

About the Journal

About the Journal

International Journal of Artificial Intelligence in Medicine & Healthcare (IJAI-MH) is an international, peer-reviewed, open-access journal dedicated to advancing research at the intersection of artificial intelligence, medicine, and healthcare.

The journal provides a multidisciplinary platform for researchers, clinicians, healthcare professionals, computer scientists, engineers, data scientists, and technology innovators to disseminate high-quality research on the development, validation, implementation, and evaluation of AI-driven technologies in healthcare.

IJAI-MH welcomes research involving machine learning, deep learning, generative AI, large language models, medical imaging, clinical decision support, predictive analytics, robotics, precision medicine, digital health, biomedical data science, and intelligent healthcare systems.

The journal particularly encourages studies that demonstrate meaningful clinical, biomedical, or healthcare applications and address important issues such as patient safety, transparency, explainability, privacy, bias, ethics, governance, fairness, and responsible AI. These considerations are increasingly important in health AI, with WHO emphasizing safe, ethical, equitable, and accountable implementation.

Aim

The aim of IJAI-MH is to provide a global platform for the publication and dissemination of innovative research on the application of artificial intelligence and advanced computational technologies in medicine and healthcare.

The journal aims to:

  • Advance AI-driven approaches for disease diagnosis and prediction
  • Promote intelligent technologies for clinical decision-making
  • Support research in medical imaging and computer-aided diagnosis
  • Encourage development of predictive and personalized healthcare
  • Explore applications of generative AI and large language models
  • Promote AI-based drug discovery and development
  • Advance digital health, telemedicine, and remote monitoring
  • Encourage AI applications in public health and epidemiology
  • Examine robotics and intelligent medical devices
  • Promote reproducible and clinically validated AI research
  • Address AI ethics, governance, transparency, privacy, bias, and patient safety

The Following Fields Are Covered:

Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Large Language Models; Medical AI; Healthcare AI; Clinical Decision Support; Digital Health; Medical Imaging; Computer Vision; Natural Language Processing; Predictive Analytics; Precision Medicine; Personalized Medicine; Biomedical Informatics; Health Informatics; Clinical Informatics; Bioinformatics; Drug Discovery; Computational Biology; Telemedicine; Remote Patient Monitoring; Healthcare Analytics; Medical Robotics; Smart Healthcare; Explainable AI; Responsible AI; AI Ethics; AI Governance; Multimodal AI; Neural Networks; Data Science; Clinical Prediction; Disease Diagnosis; Healthcare Innovation.

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