CARES 2027

CONFERENCE TRACKS

CARES 2027 invites high-quality research papers related e-health systems and computing in following tracks listed below:

Download CFP 

Topics of interest in each track include, but not limited to: 

Track 1: AI/ML based Medical Imaging and Decision Support Systems

Machine Learning and Deep learning in medical imaging, Transformer-based medical image analysis, Generative AI for image enhancement and synthesis, Self-supervised and foundation models for medical tasks, Multimodal and cross-domain learning, Explainable AI in clinical imaging applications, Integration of LLMs for radiology reporting and workflow automation, Image reconstruction and acquisition, Medical image segmentation and classification, AI-driven decision support systems, Feature extraction and pattern recognition, Data visualization and visual analytics, Shape modeling and representation, Diagnostic LLMs and prompt-based medical reasoning, Image-guided surgery and interventions, AR/VR applications for diagnostics and training, Intelligent data processing and predictive algorithms in e-Health, Clinical decision support systems, Biomedical signal and image processing and Machine Vision, Cognitive computing in Healthcare,  Advanced signal processing for e-Health, Big data analytics for healthcare, Analysis and management of electronic health records, Image, audio, and video processing for e-Health etc.  

Track 2: Medical IoT

RFID and IoT solutions for healthcare, Novel sensors and imaging devices, Networking, Explainable AI (XAI) in Medical IoT,  5G/6G Networks for remote care, Interoperability and Standardization, Implantable and Ingestible Sensors, Energy Harvesting for Medical Devices, Emerging e-Health IoT Applications,  Collection, Transmission and Storage of the Healthcare Data in IoT, IoT in Telemedicine & Virtual Care, Wireless Medical Sensor Networks, IoT for Emergency & Critical Care, Wearables for Elderly Monitoring IoT in Pharma & Life Sciences, Wearable medical wireless sensors, In-body medical sensor communications, Communication protocols and algorithms for e-Health, e-Health-oriented software architectures, Pervasive, distributed and/or local AI techniques for efficient healthcare systems, Distributed AI-based architectures for the exploitation of AI power at the edge etc.

Track 3: Smart E-Health Systems

Wearable and smart sensing technologies, Medical robotics, Smart Textiles for Health Monitoring, Mobile Sensing and Smartphone Sensing, Wellness and Health Management Applications, Telemedicine Applications, Wearable ECG/EEG/EMG Devices, Human Computer Interface, Smart Home Healthcare Technologies, Medical education using ICT, Intelligent Medical Devices, and Smart Technologies, Context and content aware based e-Health systems, Digital Twins & Simulations etc. 

Track 4: Security and Privacy in E-Health Systems

Federated and privacy-preserving learning, Blockchain in e-health systems, Cybersecurity and data governance in AI-driven systems, Forensics, Security, Safety and Privacy in eHealth and IoT, Secure Health Data Management, Reliability & Safety Engineering in Healthcare IoT, Ethics, Innovative, secure and sustainable healthcare architectures, Innovative and sustainable healthcare systems for chronic diseases, AI-Driven Cybersecurity, Large Language Models (LLMs) & Privacy, Post-Quantum Cryptography Ransomware Prevention in Healthcare, Penetration Testing for Medical Devices, GDPR and HIPAA Compliance, Ethical AI Development, Privacy-by-Design, Consent Management Systems, Data Anonymization and De-identification, IoT and Wearable Device Security, Cloud and Edge Computing Security, Zero Trust Architecture, Secure Telehealth Platforms, Cryptography based solutions, Network Security etc.

Special Session: to be announced