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04.09.2023 | ESPR Belgrade 2023 - Postgraduate Course and Taskforce Lectures

The unintended consequences of artificial intelligence in paediatric radiology

verfasst von: Pierluigi Ciet, Christine Eade, Mai-Lan Ho, Lene Bjerke Laborie, Nasreen Mahomed, Jaishree Naidoo, Erika Pace, Bradley Segal, Seema Toso, Sebastian Tschauner, Dhananjaya K. Vamyanmane, Matthias W. Wagner, Susan C. Shelmerdine

Erschienen in: Pediatric Radiology | Ausgabe 4/2024

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Abstract

Over the past decade, there has been a dramatic rise in the interest relating to the application of artificial intelligence (AI) in radiology. Originally only ‘narrow’ AI tasks were possible; however, with increasing availability of data, teamed with ease of access to powerful computer processing capabilities, we are becoming more able to generate complex and nuanced prediction models and elaborate solutions for healthcare. Nevertheless, these AI models are not without their failings, and sometimes the intended use for these solutions may not lead to predictable impacts for patients, society or those working within the healthcare profession. In this article, we provide an overview of the latest opinions regarding AI ethics, bias, limitations, challenges and considerations that we should all contemplate in this exciting and expanding field, with a special attention to how this applies to the unique aspects of a paediatric population. By embracing AI technology and fostering a multidisciplinary approach, it is hoped that we can harness the power AI brings whilst minimising harm and ensuring a beneficial impact on radiology practice.

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Titel: The unintended consequences of artificial intelligence in paediatric radiology
verfasst von: Pierluigi Ciet
Christine Eade
Mai-Lan Ho
Lene Bjerke Laborie
Nasreen Mahomed
Jaishree Naidoo
Erika Pace
Bradley Segal
Seema Toso
Sebastian Tschauner
Dhananjaya K. Vamyanmane
Matthias W. Wagner
Susan C. Shelmerdine
Publikationsdatum: 04.09.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Pediatric Radiology / Ausgabe 4/2024
Print ISSN: 0301-0449
Elektronische ISSN: 1432-1998
DOI: https://doi.org/10.1007/s00247-023-05746-y

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