Models of Information Systems devoted to Medical Imaging Labs: an experience in the CNR Clinical Physiology Institute

abstract for the paper presentation about the decennal experience at IFC on information systems developped for medical imaging labsabstract per la presentazione relativa alla decennale esperienza presso IFC sui sistemi informativi sviluppati per uso dei laboratori dedicati all\u27imaging clinico e di ricerca medic

Research & Innovation for 2012-2013

The 2012-2013 issue of Research & Innovation, a periodical focused on research at the University of Rhode Island

Graph Signal Processing: Overview, Challenges and Applications

Research in Graph Signal Processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing. We then summarize recent developments in developing basic GSP tools, including methods for sampling, filtering or graph learning. Next, we review progress in several application areas using GSP, including processing and analysis of sensor network data, biological data, and applications to image processing and machine learning. We finish by providing a brief historical perspective to highlight how concepts recently developed in GSP build on top of prior research in other areas.Comment: To appear, Proceedings of the IEE

Toward a Discourse Community for Telemedicine: A Domain Analytic View of Published Scholarship

In the past 20 years, the use of telemedicine has increased, with telemedicine programs increasingly being conducted through the Internet and ISDN technologies. The purpose of this dissertation is to examine the discourse community of telemedicine. This study examined the published literature on telemedicine as it pertains to quality of care, defined as correct diagnosis and treatment (Bynum and Irwin 2011). Content analysis and bibliometrics were conducted on the scholarly discourse, and the most prominent authors and journals were documented to paint and depict the epistemological map of the discourse community of telemedicine. A taxonomy based on grounded research of scholarly literature was developed and validated against other existing taxonomies. Telemedicine has been found to increase the quality and access of health care and decrease health care costs (Heinzelmann, Williams, Lugn and Kvedar 2005 and Wootton and Craig 1999). Patients in rural areas where there is no specialist or patients who find it difficult to get to a doctor’s office benefit from telemedicine. Little research thus far has examined scholarly journals in order to aggregate and analyze the prevalent issues in the discourse community of telemedicine. The purpose of this dissertation is to empiricallydocument the prominent topics and issues in telemedicine by examining the related published scholarly discourse of telemedicine during a snapshot in time. This study contributes to the field of telemedicine by offering a comprehensive taxonomy of the leading authors and journals in telemedicine, and informs clinicians, librarians and other stakeholders, including those who may want to implement telemedicine in their institution, about issues telemedicine

Annual Research Report, 2009-2010

Annual report of collaborative research projects of Old Dominion University faculty and students in partnership with business, industry and governmenthttps://digitalcommons.odu.edu/or_researchreports/1001/thumbnail.jp

Proceedings of the Paris Open Science European Conference

For more than twenty years, the international research community has affirmed its support for open and collaborative practices that improve the quality, transparency, reproducibility and inclusiveness of science. In France, this orientation has been reflected in the adoption of two National Plans for Open Science, in 2018 and 2021. In this context and on the occasion of the French Presidency of the Council of the European Union, France organised the Open Science European Conference (OSEC) on 4 and 5 February 2022. This conference on the transformation of the research and innovation ecosystem in Europe was an opportunity to address in particular transparency in health research, the future of scientific publishing and the opening of codes and software produced in a scientific context, but also the necessary transformations of research assessment, summarised in the Paris Call presented during the event and calling for the creation of a coalition of actors committed to reforming the current system. This international event was organised was organised by the French Académie des sciences, the Ministry of Higher Education and Research, the French National Center for Scientific Research (CNRS), the National Institute of Health and Medical Research (Inserm), the High Council for Evaluation of Research and Higher Education (Hcéres), the National Research Agency (ANR), the University of Lorraine and the University of Nantes

WPI Research, 2017

https://digitalcommons.wpi.edu/wpiresearch-all/1003/thumbnail.jp