Authors are invited to submit original, unpublished research papers presenting novel research in the areas listed above. All submitted papers will be double-blind peer reviewed and must represent original work that has not been submitted or published elsewhere.

Track 1: Smart Medical Devices and Embedded Systems

Covers the design and development of intelligent medical devices, wearable technologies, and embedded systems for real-time healthcare monitoring and assistance.

Track 2: Computational Intelligence in Medical Diagnosis and Decision Support

This track focuses on the application of AI and machine learning in medical diagnosis, clinical decision-making systems, and predictive analytics for patient care.

Track 3: Biomedical Signal and Image Processing

Dedicated to techniques and algorithms for processing biomedical signals (ECG, EEG) and medical images (MRI, CT, ultrasound) using AI and deep learning methods.

Track 4: Bioinformatics and Computational Biology

Explores computational tools for genomics, proteomics, systems biology, drug discovery, and personalized medicine through data-driven approaches.

Track 5: Robotics and Automation in Healthcare

Focuses on the integration of robotics in medical environments, including surgical robots, assistive technologies, and autonomous systems for patient care.

Track 6: Smart Sensors and Healthcare IoT (H-IoT)

Highlights advances in sensor technologies, wireless health monitoring, Internet of Things (IoT) applications in healthcare, and real-time health data transmission.

Track 7: Data Security, Privacy, and Ethics in Health Technology

Addresses cybersecurity in medical systems, privacy protection of patient data, ethical considerations in AI use, and regulatory frameworks in digital health.

Track 8: Emerging Technologies and Future Trends in Health Tech

Covers futuristic technologies such as quantum computing, AR/VR in medicine, digital twins for healthcare modeling, and disruptive innovations in medical electronics.

For Authors