Call for Papers

The era of digitized healthcare is transforming rapidly, with intelligent and secure health informatics systems at the heart of this revolution. As artificial intelligence, machine learning, cybersecurity, and digital health technologies continue to advance, their integration into healthcare environments is becoming essential — not only for researchers and innovators but also for start-ups and enterprises aiming to build a smarter, patient-centred future. The need for secure, scalable, and intelligent solutions is driving innovation across hospitals, clinics, public health agencies, and personal health technologies.

Recognizing this importance, the International Symposium on Intelligent and Secure Health Informatics Systems (IS-HIS 2025) invites researchers, practitioners, and industry experts to submit original, unpublished work that advances the field of health informatics with a strong focus on intelligence and security. This Symposium aims to explore the latest advancements in artificial intelligence, machine learning, and cybersecurity applied to health informatics systems, enhancing patient care, data security, operational efficiency, and shaping the future of healthcare delivery.

Topics of Interest

We welcome submissions on a wide range of topics, including but not limited to:

• Artificial Intelligence in Health Informatics

• Machine learning applications in healthcare

• Deep learning for medical image analysis

• Natural language processing for electronic health records​

• Precision Health: AI Tailored to Individuals

• Genomic and multi-omics data integration for personalized treatment strategies

• Digital twins in healthcare for simulating and predicting health outcomes

• Lifestyle and behavioral data analysis for individualized health interventions​

• Intelligent Health System Design

• Smart healthcare infrastructure

• IoT and wearable device integration

• Real-time health monitoring systems​

• Wearable and Implantable Body Sensor Networks (BSN)

• Sensor design and integration for wearable and implantable devices

• Secure data transmission protocols for BSNs

• Real-time health monitoring applications using BSNs​

• Cybersecurity in Health Information Systems

• Data encryption and privacy-preserving techniques

• Blockchain applications in health data management

• Access control and authentication mechanisms​

• Health Data Analytics

• Big data analytics in healthcare

• Predictive modeling for disease outbreaks

• Data visualization techniques for health informatics​

• Transforming Healthcare and Medicine with AI

• AI-driven diagnostic tools for early and accurate disease detection

• Predictive analytics for patient outcomes and treatment efficacy

• AI in clinical decision support systems to enhance clinician decision-making​