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Scopus - AHTBE 2025 : International Conference on Advancement in Healthcare Technology and Biomedical Engineering | |||||||||||||||
Link: https://ahtbe.ca | |||||||||||||||
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Call For Papers | |||||||||||||||
AHTBE 25 aims to bring together leading experts to discuss the latest innovations, challenges, and future directions in healthcare technology and biomedical engineering. The conference will provide a platform for the dissemination of cutting-edge research, fostering collaboration among researchers, practitioners, and policymakers from around the globe. The conference also seeks to bridge the gap between research and practical implementation, fostering interdisciplinary collaboration and knowledge exchange.
The key objectives of AHTBE 25 include: • Showcasing cutting-edge research and breakthroughs in healthcare technology and biomedical engineering. • Addressing challenges and emerging trends in AI in healthcare, bioinformatics, imaging, and wearable devices. • Facilitating collaboration between academia, industry, and policymakers to drive innovation in the healthcare sector. • Providing a platform for researchers to publish high-impact work and increase the visibility through indexed proceedings. • Promoting discussions on ethical considerations, regulatory policies, and the future of AI and digital health transformation. The following fields or interest but no limited to: Track 1: Biomedical Imaging and Signal Processing • Medical Image Classification • Medical Image Segmentation • Image reconstruction and enhancement • Medical imaging modalities (MRI, CT, etc.) • Signal processing (EEG, ECG, EMG, etc.) • AI applications in medical imaging • Optical imaging and spectroscopy • 3D/4D imaging technologies • Data fusion and multi-modality imaging • Image-guided interventions Track 2: Artificial Intelligence and Machine Learning in Healthcare • AI-driven diagnostics and predictive analytics • Machine learning for personalized medicine • Natural language processing for medical data • Explainable AI in healthcare • AI applications in drug discovery • Deep learning for medical image analysis • Decision support systems • Ethics and bias in AI for healthcare Track 3: Healthcare Robotics and Automation • Robotic-assisted surgery • Rehabilitation robotics • AI-driven robotic systems in healthcare • Autonomous robots for elderly care • Wearable robotic exoskeletons • Human-robot interaction in healthcare • Sensor integration in healthcare robotics • Automation in hospital logistics Track 4: Wearable and Implantable Devices • Biosensors for health monitoring • Implantable medical devices (pacemakers, neurostimulators) • Smart wearable technologies • Energy harvesting for medical implants • Wireless health monitoring systems • Internet of Medical Things (IoMT) • Challenges in biocompatibility and material design • Device regulation and safety Track 5: Telemedicine and e-Health • Advances in telehealth platforms • Mobile health applications • Remote monitoring technologies • Security and privacy in e-health systems • Blockchain applications in telemedicine • Digital health interventions for chronic diseases • Remote surgical systems • Accessibility and usability of telemedicine solutions Track 6: Biomedical Materials and Tissue Engineering • Biomaterials for implants and prosthetics • 3D bioprinting and tissue scaffolds • Nanotechnology in biomaterials • Regenerative medicine and stem cell therapies • Biodegradable materials in healthcare • Drug delivery systems using biomaterials • Mechanical properties of biomedical materials • Biocompatibility and regulatory challenges Track 7: Healthcare Data Analytics and Management • Big data in healthcare • Data interoperability in electronic health records • Predictive modeling for population health • Real-time analytics for clinical decision-making • Data visualization in healthcare • Privacy-preserving data analytics • Challenges in managing unstructured medical data • Cloud-based healthcare systems Track 8: Innovations in Rehabilitation and Assistive Technologies • Advanced prosthetics and orthotics • Neurological rehabilitation technologies • Virtual reality for physical therapy • Brain-computer interfaces for rehabilitation • Cognitive rehabilitation tools • Smart assistive devices for the elderly • Gamification in rehabilitation • Evaluation of assistive technology outcomes |
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