Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project
This article presents the results of interviews with AI development and innovation experts, focusing on the potential contribution of AI to paediatric cancer treatment, its barriers and facilitators. AI-based technologies are expanding in health care provision and potentially to paediatric oncology,...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | EJC Paediatric Oncology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772610X24000680 |
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| author | Pilar Gangas Norbert Graf Shuping Wen Carlotta Cattaneo Marilena Bicchieri Niamh Lennox-Chhugani |
| author_facet | Pilar Gangas Norbert Graf Shuping Wen Carlotta Cattaneo Marilena Bicchieri Niamh Lennox-Chhugani |
| author_sort | Pilar Gangas |
| collection | DOAJ |
| description | This article presents the results of interviews with AI development and innovation experts, focusing on the potential contribution of AI to paediatric cancer treatment, its barriers and facilitators. AI-based technologies are expanding in health care provision and potentially to paediatric oncology, particular imageology. However, no AI based technology specifically developed for paediatric cancer has been identified. Interviews identified key barriers, including legal, regulatory and ethical challenges; validation and evaluation standards; integration with public healthcare systems; acceptance, explainability and trust of AI technologies; digital literacy and skills development; data management and privacy Protection; and promoting multidisciplinary collaboration. Facilitators largely coincide, including legal, regulatory and ethical considerations; data management and storage; building trust and ensuring privacy; engaging key stakeholders; promoting multidisciplinary collaboration through AI technologies; and education, training and innovation programmes. Barriers can be turned into facilitators if properly managed. These interviews were conducted under the EU funded project UNICA4EU (Towards a UNIque approach for artificial intelligence data-driven solutions to fight Childhood cAncer FOR EUrope)(1), which was implemented between 2022 and 2024. The goal of the overall project was to analyse the current landscape of Artificial Intelligence (AI) and to map applications to Childhood Cancer. This work further develops and confirms the results of a previous EU-funded pilot project, A crowdsourced ecosystem to fight childhood cancer (EU4CHILD)(1). |
| format | Article |
| id | doaj-art-8da9089baea2416eb1c3adf715a1dc8a |
| institution | DOAJ |
| issn | 2772-610X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EJC Paediatric Oncology |
| spelling | doaj-art-8da9089baea2416eb1c3adf715a1dc8a2025-08-20T03:21:39ZengElsevierEJC Paediatric Oncology2772-610X2025-06-01510020810.1016/j.ejcped.2024.100208Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU projectPilar Gangas0Norbert Graf1Shuping Wen2Carlotta Cattaneo3Marilena Bicchieri4Niamh Lennox-Chhugani5International Foundation for Integrated Care (IFIC), The Base B, Evert van de Beekstraat 1-104, Schiphol Airport 1118 CBL, the Netherlands; Correspondence to: The Base B, Evert van de Beekstraat 1-104, Schiphol Airport 1118 CBL, the NetherlandsSaarland University, Dep. Paediatric Oncology and Haematology, Homburg 66421, GermanySaarland University, Dep. Paediatric Oncology and Haematology, Homburg 66421, GermanyHUMANITAS, Via Paolo Bassi 25, Milan, ItalyHUMANITAS, Via Paolo Bassi 25, Milan, ItalyInternational Foundation for Integrated Care (IFIC), The Base B, Evert van de Beekstraat 1-104, Schiphol Airport 1118 CBL, the NetherlandsThis article presents the results of interviews with AI development and innovation experts, focusing on the potential contribution of AI to paediatric cancer treatment, its barriers and facilitators. AI-based technologies are expanding in health care provision and potentially to paediatric oncology, particular imageology. However, no AI based technology specifically developed for paediatric cancer has been identified. Interviews identified key barriers, including legal, regulatory and ethical challenges; validation and evaluation standards; integration with public healthcare systems; acceptance, explainability and trust of AI technologies; digital literacy and skills development; data management and privacy Protection; and promoting multidisciplinary collaboration. Facilitators largely coincide, including legal, regulatory and ethical considerations; data management and storage; building trust and ensuring privacy; engaging key stakeholders; promoting multidisciplinary collaboration through AI technologies; and education, training and innovation programmes. Barriers can be turned into facilitators if properly managed. These interviews were conducted under the EU funded project UNICA4EU (Towards a UNIque approach for artificial intelligence data-driven solutions to fight Childhood cAncer FOR EUrope)(1), which was implemented between 2022 and 2024. The goal of the overall project was to analyse the current landscape of Artificial Intelligence (AI) and to map applications to Childhood Cancer. This work further develops and confirms the results of a previous EU-funded pilot project, A crowdsourced ecosystem to fight childhood cancer (EU4CHILD)(1).http://www.sciencedirect.com/science/article/pii/S2772610X24000680Paediatric cancerArtificial intelligenceBarriersFacilitatorsInnovation roadmapInnovation experts’ interviews |
| spellingShingle | Pilar Gangas Norbert Graf Shuping Wen Carlotta Cattaneo Marilena Bicchieri Niamh Lennox-Chhugani Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project EJC Paediatric Oncology Paediatric cancer Artificial intelligence Barriers Facilitators Innovation roadmap Innovation experts’ interviews |
| title | Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project |
| title_full | Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project |
| title_fullStr | Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project |
| title_full_unstemmed | Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project |
| title_short | Artificial intelligence in paediatric cancer: Insights from innovation experts in the UNICA4EU project |
| title_sort | artificial intelligence in paediatric cancer insights from innovation experts in the unica4eu project |
| topic | Paediatric cancer Artificial intelligence Barriers Facilitators Innovation roadmap Innovation experts’ interviews |
| url | http://www.sciencedirect.com/science/article/pii/S2772610X24000680 |
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