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Special Session
Special Session on
Sensor-based Artificial Intelligence for Patient Empowerment
 - SAI4PE 2025

20 - 22 February, 2025 - Porto, Portugal

Within the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2025


Ivan Miguel Pires
Instituto de Telecomunicacoes/Escola Superior de Tecnologia e Gestao de Agueda, Universidade de Aveiro
Brief Bio
Ivan Miguel Pires received a Ph.D. in Computer Science and Engineering from Universidade da Beira Interior, in 2018. He is currently Adjunct Professor at Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal. He is an integrated researcher at Instituto de Telecomunicações, Covilhã, Portugal. He was involved in Verão Com Ciência 2020, Verão Com Ciência 2021, and Verão Com Ciência 2022 initiatives. He has some small funded projects approved with the Polytechnic Institute of Viseu, Viseu, Portugal. His main interests are related to sensors available in off-the-shelf mobile devices for different purposes, including medicine and sports. Also, his research interest is associated with the application of data fusion and data classification techniques of the data acquired from the different sensors.
Paulo Jorge Coelho
Polytechnic University of Leiria
Brief Bio
Paulo Coelho graduated in Electrical Engineering in 2004 from Coimbra University, obtained his Specialization Course in Automation and Control in 2007 from Coimbra University, and a Ph.D. in Informatics in 2019 from Trás-Os-Montes and Alto Douro University. He is an Adjunct Professor at the Electrical Engineering Department at the School of Technology and Management of the Polytechnic of Leiria, where he has mainly lectured Curricular Units in Microprocessors, Industrial Automation, and Computer Vision since 2004. Paulo Coelho is currently a Member of the Scientific-Pedagogical Committee for the Master´s in Electrical and Electronic Engineering at the Polytechnic of Leiria. He was previously the course director. He is an integrated researcher at the ROBiTECH (Advanced Robotics and Smart Factories) group in the INESC Coimbra (delegation in Leiria). He is also a member of the Portuguese Engineers Order. His research interests are industrial automation, computer vision, biomedical imaging analysis, and the application of machine learning in their research areas.


Artificial intelligence (AI) empowers patients by analyzing large data sets to provide personalized insights, forecasts, and treatment suggestions. It can tailor treatment plans using genetic, medical, and current health data. AI predicts health risks, detects illnesses early, and aids in developing personalized medications. Empowered patients better understand their health, follow treatment plans, and maintain communication with healthcare providers. Real-time health monitoring through wearables and sensors enhances patient care by allowing quick responses to health changes. AI integration in healthcare systems improves patient care, reduces staff workload, and manages chronic illnesses. Challenges include ensuring patient privacy, addressing the digital divide, and making AI decisions understandable.


Topics of interest include, but are not limited to:
  • Innovative AI Algorithms in Patient Care Sensor Technology 
  • Advancements in Healthcare AI in Chronic Disease 
  • Management Data Privacy and Security in Healthcare 
  • AI User-Centered Design for AI Healthcare Tools 
  • Ethical Implications of AI in Healthcare 
  • Integrating AI with Traditional Healthcare Practices 
  • Predictive Analytics in Healthcare 
  • Patient Empowerment through AI Education 
  • Telemedicine and AI Interdisciplinary Approaches to AI in Healthcare 
  • AI and Mental Health 


Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025


Petre Lameski, Sts Cyril and Methodius University, North Macedonia
Susanna Spinsante, Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica Delle Marche, Italy
Vladimir Trajkovik, Ss. Cyril and Methodius University, North Macedonia
Eftim Zdravevski, Ss. Cyril and Methodius University, North Macedonia

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


BIOSTEC Special Sessions - SAI4PE 2025