Prof. Lin Ma, Harbin Institute of Technology, China           
Talk: "Indoor Visual Localization for Health Applications"           

Abstract: In this talk, we will mainly discuss the indoor visual localization method which could be useful for indoor health applications. We will first introduce several indoor localization methods and compare their Pros and Cons. Then the basic method and challenge of visual localization is addressed. Based on the practical requirement, we will give some new ideas and solutions for the indoor visual localization. Finally, a real health application deployed in the indoor scenario is introduced.           

 

Dr. Benedetto Carollo, ESAOTE Spa, Italy           
Talk: "Health with Care in the AI Age: Today's impact and future opportunities for a better patient care"           

Abstract: "The impact of Artificial Intelligence in today's world is under the eyes of everyone. From the Automotive industry to even house appliances AI is more and more playing a pivotal role in easing tasks that just a year ago were much more cumbersome. In the healthcare industry AI is also increasingly playing a crucial role with the ultimate goal of granting better patient care. At Esaote we strive for providing the best technology to ultimately ensure a better care: Health with Care in the AI Age".           

 

Dr. Michele Cermele, Head of Casa delle Tecnologie Emergenti (CTE), Italy           
Talk: "case studies in technology projects adopted in Italian hospitals"           

Abstract: The lesson, delivered by the leader of Casa delle Tecnologie Emergenti del Molise, focuses on current technological innovations being integrated into healthcare through three institutions: Responsible Research Hospital, Neuromed, and the Medicine Department of Università del Molise. These institutions are at the forefront of adopting cutting-edge technologies to enhance medical care. The session provides practical examples of how these innovations are improving patient outcomes and simplifying access to specialized treatments. By leveraging new tools, these health organizations are making advanced care more efficient and accessible to the broader population.           

 

Prof. Alberto Pilotto, Galliera Hospital, Italy           
Talk: "Gerontechnology: a clinical perspective."           

Abstract: This speech aims at disseminating information and knowledge in Gerontechnology, a topic that is still considered a specific area of interest for techno-experts (i.e. informatics, engineers, bio-engineers, bio-statistics, etc.) while there is a relatively low diffusion of technological expertise among clinicians and other health professionals who are involved in the care of older people. In many parts of the world, average life expectancy is rising consistently, and at the same time technology is developing at a dramatic pace. This means having completely new options for the diagnosis, treatment and follow-up of diseases and disabilities of older people but also a new challenge to improve the quality of life by promoting an active and healthy aging at population level.           

 

Prof. Petar Solic, University of Split, Croatia           
Talk: "IoT-based Wearables and AI for Healthcare"           

Abstract: This talk will cover the current research and achievements of the IoT research group at the University of Split. An overview of the wearable devices usage for the purposes of AI tools development that help in the health sector will be provided, but also with the potential applications in the other areas. The subject includes a description of the developed hardware and software solutions developed by IoT lab, as well as giving our vision of the future in health sector.           

 

Prof. Andrea Randazzo, University of Genoa, Italy           
Talk: Microwave Imaging for Biomedical Applications: Potentialities and Recent Advances in Brain Stroke Detection and Monitoring           

Abstract: Microwave imaging (MI) is a noninvasive technique that uses electromagnetic fields to inspect targets by analyzing the radiation they scatter at microwave frequencies. The goal is to extract information about the targets’ physical properties, often presented as images. Over the years, significant efforts have been made to improve MI systems and data processing algorithms. Recent advancements make MI promising for applications like medical imaging, offering portable, safe, and affordable systems. This lecture will cover the basics of MI, focusing on recent developments, particularly in brain stroke detection and monitoring.           

 

Dr. Marco Muselli, National Research Council, Italy    
Talk: "Strong eXplainable Artificial Intelligence for healthcare applications"    

Abstract: In the healthcare applications of machine learning, it is of fundamental importance to understand the reasoning behind a particular prediction. The techniques of eXplainable Artificial Intelligence (XAI) aim to address this need by allowing for the extraction of understandable information about the logic used by any (black box) model. However, in many applications, such as diagnostic ones, this characteristic is not sufficient; it is required that the functioning of the entire model be understandable (strong XAI). This task gives an overview of available techniques of Strong XAI with some applications in healthcare sector.    

 

Prof. Marco Borghesi, University of Genoa (MD), Italy        
Talk: "Telemedicine and Surgical Robotics: Urologic Applications"        

Abstract: This speech explores the integration of telemedicine and surgical robotics in urological applications, highlighting their impact on improving patient outcomes and surgical precision. Telemedicine enables remote consultations and monitoring, while robotic-assisted surgery enhances the accuracy of complex urological procedures. The combination of these technologies is transforming urological care, offering minimally invasive solutions and expanding access to specialized treatments.        

 

Prof. Chiara Garibotto, University of Genoa, Italy           
Talk: "Towards AIoMT: the power of AI in the Internet of Medical Things"           

Abstract: This speech has the ambition to jointly explore the frameworks of AI, IoT and medicine, thus introducing the concept of the “Artificial Intelligence of Medical Things” (AIoMT). In this regard, this speech will discuss the impact of AI-enabled IoT on the latest eHealth advancements by presenting innovative and efficient solutions. This speech will also show the potential of jointly applying AI and IoT to healthcare systems by presenting selected practical applications and use-cases and their impact on technology-assisted medical care and treatments. Finally it aims at providing future research directions by identifying and highlighting open problems and challenges in the framework of AIoMT.           

 

Prof. Giuseppe Araniti, University of Reggio Calabria, Italy           
Talk: "Exploring the Future of HealthCare: eHealth initiatives, Research Laboratories and Innovative Projects"           

Abstract: This speech explores the future of healthcare by examining eHealth initiatives, research laboratories, and innovative projects. It highlights the transformative role of telemedicine, wearable devices, artificial intelligence, and data analytics in improving patient care and healthcare systems. Through case studies and current trends, the study discusses the potential of digital health technologies while addressing the challenges and opportunities in their implementation. The speech underscores the importance of collaboration between healthcare professionals, technologists, and policymakers to ensure efficient, patient-centered healthcare driven by innovation.           

 

Dr. Matteo Laffranchi, Italian Institute of Technology, Italy           
Talk: "From conception to commercialisation: navigation the medical device lifecycle in the pre-market phase."           

Abstract: This talk will explain the main phases that a medical device goes through to get to the market. The process will be explained accordingly as defined by the Medical Device Regulation, showing how these phases are applied a few cases of devices developed at the Rehab Technologies Lab (Istituto Italiano di Tecnologia). The process from conception to CE marking and compliance to international standards will be shown for the specific cases of bionic prostheses and exoskeletal devices.           

 

Prof. Lorenzo Mucchi, University of Florence, Italy           
Talk: "Empowering Healthcare: the role of wireless body area network technologies"           

Abstract: In the rapidly evolving landscape of healthcare, the integration of wireless technologies is revolutionizing patient care and operational efficiency. This speech explores the transformative impact of WBAN technologies, from telemedicine to remote patient monitoring, which are breaking down barriers to access and enabling real-time health management. Additionally, it delves into the role of standardization in ensuring interoperability and consistency across healthcare systems, thereby enhancing patient safety and care quality. Finally, through examples of best practices, it highlights how to effectively harness these advancements, ultimately leading to a more connected, efficient, and patient-centric healthcare ecosystem.           

 

Dr. Giampaolo Bricchetto, Italian Multiple Sclerosis Foundation, Italy         
Talk: "eHealth in Multiple Sclerosis and Neurodegenerative Disorders: Advancing Care and Research"         

Abstract: The use of eHealth in the management of multiple sclerosis (MS) and other neurodegenerative disorders is revolutionizing the way we approach rehabilitation and disease monitoring. Digital platforms allow for continuous remote tracking of motor and cognitive functions, enabling clinicians to detect subtle changes in patients' conditions that might otherwise go unnoticed. This form of real-time monitoring is crucial in adjusting rehabilitation strategies promptly, both in motor and cognitive domains, thereby optimizing patient outcomes. Furthermore, rehabilitation programs leveraging eHealth tools, such as virtual reality, tele-rehabilitation, and gamified cognitive exercises, have shown promising results in enhancing motor and cognitive function as well as motor and cognitive reserve. Such platforms not only provide personalized feedback but also facilitate long-term adherence to therapy. Despite these advancements, challenges related to patient engagement and accessibility must be addressed to fully integrate these technologies into routine clinical practice. By overcoming these barriers, eHealth can significantly enhance the quality of life for patients and support a more dynamic approach to neurodegenerative disease management​.         

 

Prof. Maura Casadio, University of Genoa, Italy           
Talk: "From pixels to patterns: unveiling human motion through computer vision"          

Abstract: The analysis and understanding of human motion are crucial in diverse domains such as neuroscience, rehabilitation, and sports biomechanics. Historically, this analysis has depended on marker-based methods and motion capture systems, which, while accurate and reliable, can be expensive, cumbersome, and time-consuming. In light of these issues, recent innovations in markerless analysis techniques have emerged, offering more accessible solutions for motion assessment in both everyday and clinical environments. Significant strides have been made in the development and implementation of computer vision and machine learning algorithms capable of analyzing standard video recordings of human movements. This approach allows for the extraction of qualitative and quantitative motion features, enhancing the detection, characterization, and comprehension of motor behaviors and deficits linked to neurological conditions. This presentation will delve into the capabilities and constraints of markerless human motion analysis utilizing RGB video recordings, with a specific emphasis on spontaneous movements in infants and gait patterns in individuals with neurological disorders.          

 

Gianlorenzo Casani, Dedalus, Italy         
Talk: "The use of data in optimizing hospital processes: towards a connected and predictive healthcare system"       

Abstract: Digital transformation is revolutionizing the healthcare sector, providing new solutions to tackle complex challenges and enhance operational efficiency. Real-time monitoring, predictive analytics, and integrated care coordination not only optimize resource management but also anticipate acute events, fostering a proactive approach to healthcare. In this vision, data becomes pivotal in enabling predictive medicine, particularly in the management of increasingly chronic patients. The Command Center plays a key role, integrating data from various hospital sources to provide a comprehensive, dynamic view, driving a future of healthcare that is more efficient, connected, and patient centered.       

 

Prof. Adnan Al-Anbuky, Auckland University of Technology, New Zealand 
Talk: "Human Mobility and Precision Rehabilitation"   

Abstract: The presentation discusses the experiences of the Sensor Network and Smart Environment Lab (SeNSe) at AUT in the research and development of IoT for movement monitoring. The exercise is conducted in collaboration with the Physiotherapy department within the School of Health Science. Two key rehabilitation cases have been considered. These are rehabilitation of post-operative hip fractured patient and Prehabilitation of pre-operative abdominal cancer patient. The rehabilitation case requires precision identification of specific movements. The second case focus on identification of movements intensity for number of selective movements. Both cases are subject to a health program that runs over weeks and involves incremental steps. While the programs are mostly supervised, our driver is to encourage mixed or unsupervised programs.