Publications by authors named "Nicolas Wagneur"
Article Synopsis
- The introduction discusses how segmentation of organs and target volumes in radiation oncology is a repetitive task that has been enhanced by artificial intelligence (AI), leading to questions about its impact on the training of young radiation oncologists (ROs).
- A survey was conducted by the SFjRO to assess the perceptions and experiences of 117 young ROs regarding AI segmentation tools during a dosimetry webinar for head and neck cancers.
- Results showed that AI offered significant time savings in defining organs at risk (up to 100% for some), but less for target volumes (8.6% saw similar gains), leading participants to advocate for integrating AI tools into training while stressing the need to maintain focus on radioanatomy knowledge.
Background: In 2020, more than 250 eHealth solutions were added to app stores each day, or 90,000 in the year; however, the vast majority of these solutions have not undergone clinical validation, their quality is unknown, and the user does not know if they are effective and safe. We sought to develop a simple prescreening scoring method that would assess the quality and clinical relevance of each app. We designed this tool with 3 health care stakeholder groups in mind: eHealth solution designers seeking to evaluate a potential competitor or their own tool, investors considering a fundraising candidate, and a hospital clinician or IT department wishing to evaluate a current or potential eHealth solution.
View Article and Find Full Text PDFBackground: Cannabinoid hyperemesis syndrome is a variant of cyclical vomiting syndrome in a context of chronic cannabis usage. Our aim was to compare French cases to those identified in the international literature in order to further our knowledge of the clinical criteria, pathophysiology and treatments for cannabinoid hyperemesis syndrome.
Methods: We analysed cases reported in the international literature up to 30 June 2017, obtained from the MEDLINE, PsycINFO and The Cochrane Library databases; we selected relevant articles based on title and abstract.