Special Session on Artificial Intelligence trends in Health & Care (AItHeC)

Scope

The Special Session on Artificial Intelligence Trends in Health & Care (AItHeC 2024) aims to gather researchers from diverse backgrounds, including academia, industry, government, hospitals, clinics, or medical centers to exchange knowledge and innovative visions on the development of AI solutions targeted towards healthcare and well-being. AItHeC 2024 will be an event for the presentation and discussion of the latest trends in applying artificial intelligence methods and technologies within the domains of medicine, healthcare, and overall well-being. The workshop is structured to cover a comprehensive spectrum, addressing both theoretical and practical facets, encompassing technologies and systems relevant to the application of artificial intelligence.


Topics

Topics to be highlighted cover different AI applications within the context of healthcare and wellbeing:

  • AI in Medical Education
  • AI in Clinical Management
  • Wellbeing and Lifestyle Support
  • Psychological Interventions
  • Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine
  • Data Privacy, Legal, Ethics and Social Issues in Medicine
  • Pervasive Healthcare Environments
  • Persuasive and Behavioral Sciences 
  • Ontologies and Standards in the Healthcare Domain
  • Software Architectures for Healthcare Systems
  • AI-based Coaching Systems for Health and Well-being
  • Business Intelligence and Health Analytics
  • Clinical Data Mining
  • Machine Learning and Deep Learning
  • Data Streaming
  • Disease Diagnosis, Forecasting and Evaluation
  • Expert, agent-based or knowledge-based systems for Health and Well-being
  • Electronic Health Records (eHealth)
  • Mobile Health (mHealth)
  • Wearable Devices and Telemedicine
  • Sensor-based Applications
  • Usability, Acceptability and other Evaluation Metrics
  • Public Health Informatics
  • Profiling and Clustering Methods
  • Patient Journey Mapping

We invite participants to engage in a collaborative exchange of ideas and insights, fostering a dynamic environment for exploring the transformative potential of artificial intelligence in shaping the future of healthcare and promoting general well-being.
 

Organizing Committee

  • Luís Conceição - School of Engineering, Polytechnic of Porto (Portugal)
  • Diogo Martinho - School of Engineering, Polytechnic of Porto (Portugal)
  • Liepa Bikulčienė - Kaunas University of Technology, Department of Applied Mathematics (Lithuania)
  • Ziya Karakaya - Konya Food and Agriculture University, Department of Software / Computer Engineering (Turkey)
     

Program Committee

  • Manuel Rodrigues - Algoritmi Center, Minho University (Portugal)
  • Dalila Durães - University of Minho, ALGORITMI/LASI (Portugal)
  • Tiago Pinto - Universidade de Trás-os-Montes e Alto Douro / INESC-TEC (Portugal)
  • Joaquim Santos - School of Engineering, Polytechnic of Porto (Portugal)
  • Goreti Marreiros - School of Engineering, Polytechnic of Porto (Portugal)
  • Alberto Freitas - Faculty of Medicine, University of Porto (Portugal)
  • Kristina Šutienė - Kaunas University of Technology (Lithuania)
  • Rute Almeida - Faculty of Medicine, University of Porto (Portugal)
  • Julio Souza - Faculty of Medicine, University of Porto (Portugal)
  • Sara Rodríguez - University of Salamanca (Spain)
  • Hoon Ko - Sunmoon University (South Korea)
  • José Machado - University of Minho, ALGORITMI/LASI (Portugal)
  • António Martins - School of Engineering, Polytechnic of Porto (Portugal)
  • Víctor Alves - University of Minho (Portugal)
  • Lino Figueiredo - School of Engineering, Polytechnic of Porto (Portugal)
  • Pedro Marques - Faculty of Medicine, University of Porto (Portugal)