ISSN:
ISBN: 978-1-68558-247-0

• Registered: with the Library of Congress of the United States of America (ISSN)
• Free Access: in ThinkMind Digital Library

AIHealth 2025 is colocated with the following events as part of InfoSys 2025 Congress:

• ICNS 2025, The Twenty-Second International Conference on Networking and Services
• ICAS 2025, The Twenty-Second International Conference on Autonomic and Autonomous Systems
• ENERGY 2025, The Fifteenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies
• WEB 2025, The Thirteenth International Conference on Building and Exploring Web Based Environments
• DBKDA 2025, The Seventeenth International Conference on Advances in Databases, Knowledge, and Data Applications
• SIGNAL 2025, The Tenth International Conference on Advances in Signal, Image and Video Processing
• BIOTECHNO 2025, The Seventeenth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies
• AIHealth 2025, The Second International Conference on AI-Health

AIHealth 2025 Steering Committee

		Les Sztandera Thomas Jefferson University USA			Hesham H. Ali University of Nebraska at Omaha USA
		Maura Mengoni Università Politecnica delle Marche Italy			Vitaly Herasevich Mayo Clinic USA
		Amina Souag Canterbury Christ Church University UK

AIHealth 2025 conference tracks:

AI-in-Health scientific directions
Predictive Analytics
Precision Medicine
DNA-based drug discovery
Drug targets
DeepLearning for radiology and imaging
DeepLearning algorithms on medical records
Early detection of mental health
Genomic data analysis

Adoption of AI-based Health administrative solutions and economics
Administrative efficiency
Patient record management
Preventive healthcare
Hospital re-admissions and early intervention
Accessibility to telemedicine platforms
Acceptance of AI-assisted surgery
Compliance with regulatory and ethical considerations
Interoperability with existing healthcare IT infrastructures
Clinical acceptance
AI in medical education and personal training
Patient acceptance
AI transparency and explainability

AI-based Personalized-Health
Genetic patient-oriented precision medicine
Patient personalized (human) Datasets
Patient health deterioration
Patient genetic disease risk assessment
Personalized mental health (detection, patterns, treatments)
Prediction of treatment responses
Heath detection form social interactions
Personalized data analytics
Personalized explainability
Personalized treatment
Personalized monitoring

AI-based Health systems and applications
Personalized health devices and mobile services
Assisted-living applications using affective computing
Predictive alarms in healthcare systems using IoT (Internet of Things) and cognitive computing
Personalized cognitive surgeon-robots
Robot-assisted surgery
Empathy and trust on robot companions
Patient profiling using ML and records (Big data)
Computational tools for drug design
Discovery of drugs and healing procedures based on Big Data and ML
Safety in AI-based health systems
AI-based neuroimaging for immersive virtual environments
Patient safety and privacy

AI-based Solutions for monitoring/measuring health devices
Wearable devices for wellness and healthcare
Robots-based rehabilitation
Diet and Gait tracking and visualizing applications
Hospital monitoring devices
AI for mental health monitoring
Simulation and validation in medical systems
AI-based equipment training for health professionals
Elderly devices and software

AI-based Support for health analytics
Pharmacovigilance analysis
Mental health
Drug-to-Drug interaction
De-Identification of electronic health records
De-Identification on clinical text classification
Laboratory data integration
Maternal data analytics
Drug abuse detection
Medical disease extraction
Reproducibility data analytics
Heart failure analytics (and prediction)
Toxicosurveillance analytics
Hazardous prescribing analytics
AI for pandemic analytics
AI for microbiology

Deadlines:

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).