Artificial Intelligence and Teleradiology in Pediatric Radiology: A Survey by the Society for German-speaking Pediatric Radiologists (GPR) and the Swiss Society for Pediatric Radiology (SGPR)

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Max Johann Sturm - , Friedrich-Schiller-Universität Jena (Autor:in)
  • Thekla von Kalle - , Klinikum Stuttgart (Autor:in)
  • Diane Miriam Renz - , Medizinische Hochschule Hannover (MHH) (Autor:in)
  • Dirk Klee - , Heinrich Heine Universität Düsseldorf, Universitätsklinikum Düsseldorf (Autor:in)
  • Janina Patsch - , Medizinische Universität Wien (Autor:in)
  • Stephanie Spieth - , Institut und Poliklinik für diagnostische und interventionelle Radiologie, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Seema Toso - , Hôpitaux universitaires de Genève (Autor:in)
  • Enno Stranzinger - , Universität Bern (Autor:in)
  • Hans Joachim Mentzel - , Friedrich-Schiller-Universität Jena (Autor:in)

Abstract

Purpose The aim of our study was to assess the attitudes towards AI and teleradiology and their current usage in pediatric radiology within German-speaking countries. Materials and Methods From March to May 2023, we conducted an anonymous online survey among members of the Society for German-speaking Pediatric Radiologists (GPR) and the Swiss Society for Pediatric Radiology (SGPR) via the SurveyMonkey platform. The survey consisted of 25 items with rating scales and open-ended responses. Results Out of 418 society members, 36 completed the questionnaire (8.6%). Teleradiology (50% fully agree, 27.8% partly agree) and AI (38.9% fully agree, 22.2% partly agree) were considered relevant for pediatric radiology by the majority of respondents. Teleconsultation for second opinions is regularly used in 58% of the departments. Currently, AI does not play a significant role in the daily work of 52.8% of respondents. Beyond segmentation, AI is used primarily for image acquisition and dose reduction. Over 80% of respondents indicated that bone age determination is well-suited for an AI solution, yet only 31% routinely use such a solution. Conclusion AI and teleradiology have a high level of acceptance in German-speaking pediatric radiology (Germany, Austria, Switzerland, i.e. the DACH region) and are seen as a possible strategy for improving pediatric radiology care. This contrasts with the current low level of use in clinical routine.

Titel in Übersetzung
Künstliche Intelligenz und Teleradiologie in der Kinder- und Jugendradiologie
eine Umfrage der Gesellschaft für Pädiatrische Radiologie (GPR) und der Schweizer Gesellschaft für Pädiatrische Radiologie (SGPR)

Details

OriginalspracheEnglisch
Seiten (von - bis)1311-1318
Seitenumfang8
FachzeitschriftRoFo Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren
Jahrgang197
Ausgabenummer11
PublikationsstatusVeröffentlicht - 1 Nov. 2025
Peer-Review-StatusJa

Externe IDs

PubMed 39914467

Schlagworte

Schlagwörter

  • acceptance testing, cost-effectiveness, diagnostic radiology, economics, pediatric radiology, teleradiology