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logo.png",14.94,95,"IMS_logo_9171a332de",10.35,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/civemsa25/IMS_logo_9171a332de.png","2024-11-13T23:54:27.934Z",{"id":43,"variation":30,"button":507},[508],{"id":367,"label":428,"size":34,"color":35,"style":13,"icon":429,"iconPosition":36,"url":509,"newWindow":8,"downloadable":13,"shape":13},"https://ieee-ims.org/","-2",{"pagination":512},{"page":5,"pageSize":513,"pageCount":5,"total":29},25,{"id":159,"heading":265,"pageHeader":515,"sections":516},{"id":159,"description":13,"showPageHeader":8,"backgroundColor":45,"image":13},[517],{"id":5,"__component":518,"componentVariation":519,"contactsVariation":520,"styles":13,"header":13,"sessionsGroup":521},"content.sessions","Sessions Base","Card Contact Full",[522],{"id":5,"groupTitle":13,"sessions":523},[524],{"id":5,"session":525},{"id":5,"title":526,"teaser":41,"body":527,"createdAt":528,"updatedAt":529,"publishedAt":530,"url_path_id":531,"contacts":532,"url_path":563},"Computational Intelligence and Virtual Environments for Holistic Health Management","\u003Cp style=\"text-align:justify;\">The digital era in health represents an unprecedented shift in how our society approaches health, leveraging technology to revolutionize every aspect of the healthcare services provision. From electronic health records that facilitate patient information management to telemedicine platforms that enable remote consultations, digital health solutions are enhancing accessibility, efficiency, and quality of care. Wearable devices can nowadays monitor vital signs in real-time, empowering individuals to actively participate in their health management and provide insights for holistic health management. Big data analytics discover knowledge from vast amounts of health information, facilitating personalized treatment plans, risk stratification and predictive healthcare interventions. Furthermore, artificial intelligence aids in diagnosing diseases, optimizing treatment protocols, and even discovering novel therapies. Modern ehealth sysyems follow the principles of human centered computing, which are Decentralisation, Diversification Connectivity and Simplicity, employing state of the art technologies such as the Internet of Things (ΙοΤ), Context Awareness and Explainable AI.\u003C/p>\u003Cp style=\"text-align:justify;\">The Computational Biomedicine Laboratory http://www.cbml.ds.unipi.gr has developed integrated homecare solutions incorporating communication functionalities such as WebRTC, wearable devices, assistive environments and intelligent data processing modules for supporting chronic patients and seniors’ independent living and allow the continuous monitoring of their health status. Furthermore, we have extended their utility beyond conventional monitoring, by introducing affective computing capabilities would allow for early detection of potentially dangerous situations, as an individual’s emotional state has a direct effect on their health, cognitive status, behavior and quality of life. \u003Cbr>The lab, being also consistent with the latest advancement in the field of AI, has shown progress in analyzing explainability techniques with reference to medical imaging classification tasks and proposing improvements on well-established explainability algorithms. The provision of visual explanations that demonstrate the most influential areas of the image concerning the classification result is of major importance to decision making systems. The importance grows exponentially when referring to Computational Intelligence and Virtual Environments in the healthcare domain. By developing explainable systems by design or even as post-hoc approaches, trustworthiness and transparency are the added values that can bring domain experts closer to the AI paradigm.\u003Cbr>In this talk, we will present the utilization of these technologies in various cases (i.e chronic patients, COVID-19, patients with mental diseases, medical image analysis, etc), focusing on their advanced capabilities and limitations.\u003Cbr> \u003C/p>","2025-05-10T20:44:09.268Z","2025-05-10T20:44:12.015Z","2025-05-10T20:44:12.009Z","43",[533],{"id":148,"name":534,"committee":13,"position":13,"affiliation":535,"email":13,"biography":536,"createdAt":537,"updatedAt":538,"url_path_id":539,"contactPhoto":540,"socialLinks":561,"url_path":562},"Ilias Maglogiannis","Professor, University of Piraeus, Director of Computational Biomedicine Laboratory","\u003Cp style=\"text-align:justify;\">Dr. Ilias Maglogiannis is Professor in the Dept of Digital Systems in the University of Piraeus and Director of Computational Biomedicine Lab (www.cbml.ds.unipi.gr). He has been principal investigator in many European (i.e. Horizon Europe: AI4WORK, MELIORA, H2020: PolicyCloud, GATEKEEPER, CROWDHEALTH, AGILE, UNCAP, FP7: e-LICO, INHOME, FP6: UNITE, NOMAD, TELEMED, FP5: MOMEDA, INTRACLINIC) and National Research programs, while he has also served as external evaluator in R&D projects for the EU, the Government of Hong Kong, France, Portugal, Czech, Cyprus and Greece. His scientific interests include Biomedical Informatics, Machine Learning and Computer Vision, Multimedia Processing and Pervasive Healthcare Systems. His published scientific work includes three (3) books (Springer, IOS press and Morgan Claypool Publishers), 150 journal papers and more than 250 international conference papers. Dr. Maglogiannis has received more than 10000 citations on his published work (h-index = 46). He served as Associate Editor for the Journals IEEE Biomedical Health Informatics, IEEE Transactions on Information Technology in Biomedicine, Journal on Information Technology in Healthcare, and he is editorial board member of Personal and Ubiquitous Computing, Healthcare Engineering, and Intelligent Decision Technologies. He has also served as guest editor in 8 international journals (IEEE Engineering in Medicine and Biology, Oncology Reports, Simulation, Applied Intelligence, Personal and Ubiquitous Computing, Journal Universal Access in the Information Society, Neurocomputing, Evolving Systems). Dr. Maglogiannis is a Senior member of IEEE, SPIE, ACM etc and served also as affiliated faculty in the CS Dept Univ. of Texas at Arlington USA. Dr. Maglogiannis is also since 2014 president of IFIP Working Group WG12.5 (AI Applications) and Vice Chair of IEEE EMBS Greek chapter. Finally, he is elected as fellow member of EAMBES, European Alliance for Medical and Biological Engineering Sciences (http://eambes.org/) and he is included in the list of the world's top 2% scientists per scientific field as released by Stanford University, as well as in the list of the leading scientists in Computer Science in Greece according to the Research organization https://research.com/.\u003C/p>","2025-05-10T20:43:19.598Z","2025-05-10T20:44:53.485Z","42",{"id":513,"name":541,"alternativeText":13,"caption":13,"width":542,"height":543,"formats":544,"hash":557,"ext":489,"mime":492,"size":558,"url":559,"previewUrl":13,"provider":26,"provider_metadata":13,"createdAt":560,"updatedAt":560},"Screenshot 2025-05-10 164248.png",634,544,{"small":545,"thumbnail":551},{"ext":489,"url":546,"hash":547,"mime":492,"name":548,"path":13,"size":549,"width":405,"height":550},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/civemsa25/small_Screenshot_2025_05_10_164248_37d4320cbd.png","small_Screenshot_2025_05_10_164248_37d4320cbd","small_Screenshot 2025-05-10 164248.png",324.03,429,{"ext":489,"url":552,"hash":553,"mime":492,"name":554,"path":13,"size":555,"width":556,"height":420},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/civemsa25/thumbnail_Screenshot_2025_05_10_164248_37d4320cbd.png","thumbnail_Screenshot_2025_05_10_164248_37d4320cbd","thumbnail_Screenshot 2025-05-10 164248.png",55.34,182,"Screenshot_2025_05_10_164248_37d4320cbd",132.11,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/civemsa25/Screenshot_2025_05_10_164248_37d4320cbd.png","2025-05-10T20:43:15.784Z",[],"-15","-16",{"data":565,"meta":566},{"id":159,"heading":265,"createdAt":270,"updatedAt":271,"publishedAt":272,"url_path_id":273,"url_path":266,"contentType":70},{},1778852062206]