Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SPECIAL SESSIONS LIST
Cognitive Computing for Healthcare 2023, Special Session on Machine Learning and Deep Learning for Preventive Healthcare and Clinical Decision Support
Chair(s): Tahir Hameed and Syed Ahmad Chan Bukhari
WHC 2023, Special Session on Wearable HealthCare
Chair(s): Vítor Carvalho, José Machado, Demétrio Matos and Filomena Soares
ClinMed 2023, Special Session on European Regulations for Medical Devices: What Are the Lessons Learned after 1 Year of Implementation?
Chair(s): Norbert Noury, Sylvia Pelayo and Thierry Chevallier
Special Session on Machine Learning and Deep Learning for Preventive Healthcare and Clinical Decision Support -
Cognitive Computing for Healthcare
2023
Paper Submission:
January 2, 2023 (expired)
Authors Notification:
January 10, 2023 (expired)
Camera Ready and Registration:
January 18, 2023 (expired)
Scope
Machine learning has transformed healthcare by improving disease prediction, diagnosis, prognosis, and treatments. Using large but relatively structured datasets like electronic health records (EHRs), scans, and labs, they provide indispensable tools and decision support to healthcare providers and patients. Lately, with bigger, more complex and unstructured datasets available, healthcare apps and clinical decision support systems (CDSS) have started to leverage deep learning to refine these recommendations. Such systems not only have prediction but learning capabilities also. Consequently, they enable preventive and rehabilitative healthcare that is highly personalized and adaptive. This session seeks completed research on applications of deep learning and cognitive computing in preventive care, personalized treatments and adaptive CDSS aiming to better health outcomes, patient satisfaction and costs.
Special Session on Wearable HealthCare -
WHC
2023
Paper Submission:
December 21, 2022 (expired)
Authors Notification:
January 10, 2023 (expired)
Camera Ready and Registration:
January 18, 2023 (expired)
Scope
Wearable HealthCare is part of the actual human daily life. Nowadays, we are able to find these devices and systems practically everywhere, as integrated, among others, in our homes, body, mobile devices and vehicles, with the objective of improving our safety, comfort, performance and quality of life.
Following this trend, we invite investigators, academics and professionals to submit original research and review articles that will contribute to the dissemination of Wearable HealthCare in the Engineering domain.
Special Session on European Regulations for Medical Devices: What Are the Lessons Learned after 1 Year of Implementation? -
ClinMed
2023
Paper Submission:
December 21, 2022 (expired)
Authors Notification:
January 10, 2023 (expired)
Camera Ready and Registration:
January 18, 2023 (expired)
Scope
The new European regulation on medical devices applies from May 26, 2021, after a four-year transition period, and has been strengthened in several areas. In particular, the requirements for manufacturers before placing a medical device on the market have been strengthened in order to put in place clinical evaluations and investigations to ensure the effectiveness and safety of the use of these devices for the benefit of the patient. One year after its implementation, what lessons can be learned? What initiatives should be taken? What are the shortcomings or gaps? Are the specificities of DM in digital health understood? Are the specificities of border DMs (drugs, cosmetics) easy to manage? How is the clinical evidence built in compliance with this regulation? We accept submissions covering all phases of the development cycle of a new medical device, from the preliminary study confirming the proof of concept to the post-market clinical follow-up (real-world data), including in silico testing, first-in-man clinical investigation, medico-economics or usability study.