Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique
The emerging field of radiomics aims to extract quantitative information from medical images. This advanced analysis technique seeks to identify specific biomarkers that can improve patient categorization and care. In oncology, clinicians collaborate with experts in image processing to design new pr...
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| Format: | Article |
| Language: | fra |
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Association Anthropologie Médicale Appliquée au Développement et à la Santé
2024-03-01
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| Series: | Anthropologie & Santé |
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| Online Access: | https://journals.openedition.org/anthropologiesante/13215 |
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| _version_ | 1850150579492356096 |
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| author | Giulia Anichini Léo Mignot |
| author_facet | Giulia Anichini Léo Mignot |
| author_sort | Giulia Anichini |
| collection | DOAJ |
| description | The emerging field of radiomics aims to extract quantitative information from medical images. This advanced analysis technique seeks to identify specific biomarkers that can improve patient categorization and care. In oncology, clinicians collaborate with experts in image processing to design new predictive models based on artificial intelligence. This article demonstrates how technicizing diagnostic and prognostic tools has led both to a convergence of interests in this new field – that allows for an accumulation of scientific capital – and to tensions affecting, among other things, the criteria involved in the validation of technologies. In particular, the performance metrics used by researchers do not allow clinicians to measure their clinical usefulness, which is judged by the context of use. Therefore, various standards are applied to evaluate these new imaging biomarkers and their success depends on the articulation between medical and computational knowledge. |
| format | Article |
| id | doaj-art-2f565f9d6ead425eb9311da8c09cc7ee |
| institution | OA Journals |
| issn | 2111-5028 |
| language | fra |
| publishDate | 2024-03-01 |
| publisher | Association Anthropologie Médicale Appliquée au Développement et à la Santé |
| record_format | Article |
| series | Anthropologie & Santé |
| spelling | doaj-art-2f565f9d6ead425eb9311da8c09cc7ee2025-08-20T02:26:31ZfraAssociation Anthropologie Médicale Appliquée au Développement et à la SantéAnthropologie & Santé2111-50282024-03-012810.4000/w4t3Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomiqueGiulia AnichiniLéo MignotThe emerging field of radiomics aims to extract quantitative information from medical images. This advanced analysis technique seeks to identify specific biomarkers that can improve patient categorization and care. In oncology, clinicians collaborate with experts in image processing to design new predictive models based on artificial intelligence. This article demonstrates how technicizing diagnostic and prognostic tools has led both to a convergence of interests in this new field – that allows for an accumulation of scientific capital – and to tensions affecting, among other things, the criteria involved in the validation of technologies. In particular, the performance metrics used by researchers do not allow clinicians to measure their clinical usefulness, which is judged by the context of use. Therefore, various standards are applied to evaluate these new imaging biomarkers and their success depends on the articulation between medical and computational knowledge.https://journals.openedition.org/anthropologiesante/13215predictive medicinecancerArtificial intelligenceprofessional standardsradiomics |
| spellingShingle | Giulia Anichini Léo Mignot Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique Anthropologie & Santé predictive medicine cancer Artificial intelligence professional standards radiomics |
| title | Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique |
| title_full | Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique |
| title_fullStr | Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique |
| title_full_unstemmed | Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique |
| title_short | Tensions et convergences dans la conception de nouveaux outils d’intelligence artificielle pour l’oncologie : le cas de la radiomique |
| title_sort | tensions et convergences dans la conception de nouveaux outils d intelligence artificielle pour l oncologie le cas de la radiomique |
| topic | predictive medicine cancer Artificial intelligence professional standards radiomics |
| url | https://journals.openedition.org/anthropologiesante/13215 |
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