Artificial Intelligence (AI) in Medical Informatics

Dear Colleagues,

The rapid development of Artificial Intelligence (AI) has profoundly transformed the field of Medical Informatics, enabling more efficient data analysis, improved clinical decision-making, and personalized healthcare solutions. At the same time, explosive growth in digital health data—spanning electronic health records (EHRs), high-resolution medical imaging, multi-omics sequencing, signal data from wearable sensors and Internet of Medical Things (IoMT) devices, and unstructured clinical notes—has created both immense opportunities and complex analytical challenges. AI-driven methods play a crucial role in extracting meaningful insights, accelerating discovery, enhancing diagnostic accuracy, optimizing therapeutic strategies, and enabling truly personalized, predictive, and preventive healthcare.

This Special Issue aims to provide a comprehensive forum for recent advances in AI methodologies and their applications in Medical Informatics. We welcome original research articles and review papers that explore innovative AI techniques and demonstrate novel theoretical contributions, methodological innovations, robust validation on clinical datasets, or successful translational implementations, including but not limited to machine learning, deep learning, natural language processing, data mining, and biomedical informatics, applied to medical data analysis and healthcare systems.

Topics of interest include, but are not limited to the following:

• AI-based clinical decision support systems;
• Medical image and signal analysis;
• Electronic health record (EHR) analytics;
• Predictive modeling and risk assessment in healthcare;
• Personalized and precision medicine;
• AI applications in medical diagnostics and prognosis;
• Interpretability, explainability, and uncertainty quantification in medical applications;
• Generative AI, synthetic data generation, and augmentation in healthcare applications
• Ethical, interpretability, and reliability issues of AI in healthcare;
• Integration of AI solutions into clinical workflows.

By bringing together interdisciplinary research from computer science, data science, and medicine, this Special Issue seeks to highlight cutting-edge developments, practical challenges, and future directions of AI in Medical Informatics, ultimately contributing to improved healthcare quality and patient outcomes.

Dr. Tiehang Duan
Guest Editor

Manuscript Submission Information

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