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X-change symposium: status and future of modern radiation oncology-from technology to biology.

ABSTRACT: Future radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy; the emerging field of radiomics; the role of molecular imaging using positron emission tomography and its integration into clinical routine; radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling; as well as special treatment modalities such as brachytherapy or proton beam therapy are areas of rapid development. More clinically, radiation oncology will certainly find an important role in the management of oligometastasis. The treatment spectrum will also be widened by the rational integration of modern systemic targeted or immune therapies into multimodal treatment strategies. All these developments will require a concise rethinking of clinical trial design. This article reviews the current status and the potential developments in the field of radiation oncology as discussed by a panel of European and international experts sharing their vision during the "X-Change" symposium, held in July 2019 in Munich (Germany).

SUBMITTER: Corradini S

PROVIDER: S-EPMC7863262 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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X-change symposium: status and future of modern radiation oncology-from technology to biology.

Corradini Stefanie S Niyazi Maximilian M Verellen Dirk D Valentini Vincenzo V Walsh Seán S Grosu Anca-L AL Lauber Kirsten K Giaccia Amato A Unger Kristian K Debus Jürgen J Pieters Bradley R BR Guckenberger Matthias M Senan Suresh S Budach Wilfried W Rad Roland R Mayerle Julia J Belka Claus C

Radiation oncology (London, England) 20210204 1

Future radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy; the emerging field of radiomics; the role of molecular imaging using positron emission tomography and its integration into clinical routine; radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling; as wel ...[more]

PMID: 33541387

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Project description:PurposeBecause of the COVID-19 pandemic, the Radiation Oncology Education Collaborative Study Group (ROECSG) hosted its annual international symposium using a virtual format in May 2020. This report details the experience of hosting a virtual meeting and presents attendee feedback on the platform.Methods and materialsThe ROECSG symposium was hosted virtually on May 15, 2020. A postsymposium survey was distributed electronically to assess attendee demographics, participation, and experience. Attendee preference and experience were queried using 3-point and 5-point Likert-type scales, respectively. Symplur LLC was used to generate analytics for the conference hashtag (#ROECSG).ResultsThe survey was distributed to all 286 registrants, with a response rate of 67% (191 responses). Seventeen nonattendee responses were omitted from this analysis, for a total of 174 included respondents. Eighty-two attendees (47%) were present for the entire symposium. A preference for a virtual symposium was expressed by 78 respondents (45%), whereas 44 (25%) had no preference and 52 (30%) preferred an in-person meeting. A total of 150 respondents (86%) rated the symposium as "extremely" well organized. Respondents who had not attended a prior in-person ROECSG symposium were more likely to prefer the virtual format (P = .03). Seventy-eight respondents (45%) reported a preference for the virtual platform for reviewing scholarly work, and 103 (59%) reported a preference for an in-person platform for networking. On the day of the symposium, #ROECSG had 408 tweets and 432,504 impressions.ConclusionsThe 2020 ROECSG symposium was well received and can serve as a framework for future virtual meetings. Although the virtual setting may facilitate sharing research, networking aspects are more limited. Effort is needed to develop hybrid virtual and in-person meetings that meet the needs of participants in both settings. Social media is a significant avenue for dissemination and discussion of information and may be valuable in the virtual setting.

Project description:In the present article, we explore prospects for using artificial intelligence (AI) to distribute cognition via cognitive offloading (i.e., to delegate thinking tasks to AI-technologies). Modern technologies for cognitive support are rapidly developing and increasingly popular. Today, many individuals heavily rely on their smartphones or other technical gadgets to support their daily life but also their learning and work. For instance, smartphones are used to track and analyze changes in the environment, and to store and continually update relevant information. Thus, individuals can offload (i.e., externalize) information to their smartphones and refresh their knowledge by accessing it. This implies that using modern technologies such as AI empowers users via offloading and enables them to function as always-updated knowledge professionals, so that they can deploy their insights strategically instead of relying on outdated and memorized facts. This AI-supported offloading of cognitive processes also saves individuals' internal cognitive resources by distributing the task demands into their environment. In this article, we provide (1) an overview of empirical findings on cognitive offloading and (2) an outlook on how individuals' offloading behavior might change in an AI-enhanced future. More specifically, we first discuss determinants of offloading such as the design of technical tools and links to metacognition. Furthermore, we discuss benefits and risks of cognitive offloading. While offloading improves immediate task performance, it might also be a threat for users' cognitive abilities. Following this, we provide a perspective on whether individuals will make heavier use of AI-technologies for offloading in the future and how this might affect their cognition. On one hand, individuals might heavily rely on easily accessible AI-technologies which in return might diminish their internal cognition/learning. On the other hand, individuals might aim at enhancing their cognition so that they can keep up with AI-technologies and will not be replaced by them. Finally, we present own data and findings from the literature on the assumption that individuals' personality is a predictor of trust in AI. Trust in modern AI-technologies might be a strong determinant for wider appropriation and dependence on these technologies to distribute cognition and should thus be considered in an AI-enhanced future.

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X-change symposium: status and future of modern radiation oncology-from technology to biology.

Publications

X-change symposium: status and future of modern radiation oncology-from technology to biology.

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