Tracks | FM6SS

Track 1: AI for Medical Imaging, Diagnostics, and Biosignals

This track focuses on the latest AI models and methodologies for analyzing medical images and biosignals to assist clinical diagnosis.

Deep learning in radiology, pathology, dermatology, and ophthalmology.
Multimodal learning for imaging and clinical data fusion.
Signal processing and AI techniques for ECG, EEG, EMG.
Explainable and trustworthy AI for clinical interpretation.

Track 2: Clinical Decision Support, Predictive Analytics, and Precision Medicine

AI models are becoming indispensable tools for supporting complex clinical decisions and tailoring treatments to individual patients.

AI-based clinical decision support systems and prognosis models.
Predictive analytics for disease progression and patient outcomes.
Applications of AI in genomics, proteomics, and personalized medicine.
Patient stratification, risk modeling, and therapy optimization.

Track 3: Digital Health, Telemedicine, and Remote Monitoring

The COVID-19 pandemic has accelerated the adoption of telemedicine and remote monitoring solutions, powered by AI and mobile technologies.

AI-enhanced teleconsultation and mobile health applications.
Remote patient monitoring through wearable devices and IoT.
Digital platforms for continuous care in low-resource settings.
Innovations in frugal AI for accessible healthcare.

Track 4: Robotics, Smart Biomedical Devices, and Human-Machine Interfaces

Advances in robotics and smart devices are expanding possibilities in surgery, rehabilitation, and patient support.

AI-driven robotic surgery and precision interventions.
Smart biosensors, implantable devices, and real-time monitoring systems.
Assistive robotics for elderly and disabled care.
Brain-computer interfaces and AI for neurorehabilitation

Track 5: Digitalization of Health Systems and Smart Hospitals

Healthcare digitalization is crucial for efficient, patient-centric, and integrated healthcare delivery.

Digital transformation strategies for healthcare facilities.
AI-powered hospital management, resource optimization, and workflow automation.
AI applications in EHR mining and clinical documentation.
Smart hospital architectures and connected care ecosystems.

Track 6: Data Science, Security, and Ethical AI in Healthcare

As healthcare data becomes more complex and abundant, ensuring privacy, security, and ethical standards is vital.

Big data analytics, federated learning, and decentralized AI systems.
Privacy-preserving techniques and blockchain for secure health data sharing.
Algorithmic fairness, transparency, and bias mitigation in medical AI.
Regulations, governance models, and responsible AI development.

Track 7: Public Health, Epidemiology, and Emerging Health Threats

AI has a transformative role in strengthening public health systems and responding to emerging threats.

Epidemic modeling, prediction, and outbreak management using AI.
AI-driven strategies for vaccination campaigns and disease prevention.
Public health policy optimization through data-driven approaches.
Global health challenges, health equity, and AI applications.

Track 8: Emerging Technologies and Future Trends in Healthcare

This visionary track explores cutting-edge innovations that promise to redefine healthcare.

Digital twins for personalized medicine and healthcare simulation.
Quantum computing, neuromorphic engineering, and new computational paradigms.
Generative AI for drug discovery, clinical trial design, and healthcare solutions.
Immersive technologies: Virtual Reality, Augmented Reality, and the Metaverse for medical education and therapy.