Intelligent Healthcare is an international, peer-reviewed, open-access journal dedicated to advancing intelligent technologies and their applications in healthcare and health services. The journal aims to bridge technological innovation, biomedical research, clinical practice, and health systems by publishing research that addresses real-world healthcare challenges and improves health outcomes, care delivery, and healthcare efficiency.

The journal welcomes interdisciplinary contributions that develop, evaluate, or apply artificial intelligence (AI), data science, and other emerging technologies to healthcare. It covers both methodological advances and application-oriented research, including studies that assess the clinical relevance, reliability, interpretability, safety, and practical implementation of intelligent healthcare solutions.

The scope of the journal includes, but is not limited to, the following areas:

·        Artificial Intelligence and Intelligent Clinical Applications: Machine learning, deep learning, generative AI, large language models, AI agents, clinical decision support, intelligent diagnosis, treatment planning, and personalized care.

·        Biomedical Signals, Imaging, and Intelligent Sensing: Analysis and interpretation of medical images, physiological signals, biosignals, and multimodal health data; intelligent monitoring; and AI-assisted assessment of health and disease.

·        Digital Health and Smart Healthcare Services: Digital health platforms, telemedicine, mobile health, wearable devices, connected healthcare systems, digital health literacy, and technology-enabled healthcare delivery.

·        Predictive, Preventive, and Personalized Healthcare: Health risk prediction, early detection, disease prevention, precision medicine, patient stratification, personalized interventions, and longitudinal health monitoring.

·        Intelligent Healthcare Systems and Infrastructure: Smart hospitals, healthcare information systems, Internet of Medical Things, medical robotics, intelligent communication networks, digital twins, workflow optimization, and resource allocation.

·        Healthcare Data Science and Systems Research: Health data integration, real-world data analysis, clinical and population health analytics, health services research, healthcare management, and systems-level approaches to improving healthcare performance.

·        Human-Centered, Ethical, and Responsible AI in Healthcare: Human–AI interaction, explainable and trustworthy AI, algorithmic fairness, privacy and data governance, clinical validation, implementation science, and the evaluation of the safety and effectiveness of intelligent healthcare technologies.

The journal welcomes original research, reviews, methodological studies, and other scholarly contributions that provide rigorous evidence, meaningful methodological advances, or practical insights into intelligent healthcare. Interdisciplinary studies connecting technology development with clinical, public health, or healthcare service applications are particularly encouraged.