The Interweaving and “Professionalization” of Sociotechnical Promises: The Case of AI in Radiology (notice n° 1346870)
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fixed length control field | 02308cam a2200253 4500500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250504011222.0 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | fre |
042 ## - AUTHENTICATION CODE | |
Authentication code | dc |
100 10 - MAIN ENTRY--PERSONAL NAME | |
Personal name | Arena, Lise |
Relator term | author |
245 00 - TITLE STATEMENT | |
Title | The Interweaving and “Professionalization” of Sociotechnical Promises: The Case of AI in Radiology |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2025.<br/> |
500 ## - GENERAL NOTE | |
General note | 45 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This article contributes to the study of sociotechnical promises and expectations by examining the rise of artificial intelligence (AI) in radiology. Drawing on a cross-analysis of two empirical datasets—a systematic examination of the professional website Thema Radiologie and a series of interviews conducted with two key stakeholder groups (radiologists and software providers)—this study identifies five major promises associated with AI adoption in radiology. These include its potential to enhance diagnostic accuracy, reduce time constraints, provide clinical assistance, improve the performance of radiological equipment, and foster the emergence of new value-generating ecosystems. The findings reveal a highly interconnected “field of promises,” characterized by a progressive shift toward greater specificity and a tendency toward “professionalization,” wherein AI-related promises increasingly align with the practical concerns of radiologists, who, in turn, reinterpret and articulate them. This evolution highlights the need for both radiologists and technology providers to engage in a critical and reflective reassessment of these promises. Such a process requires software providers to make strategic adjustments and radiologists to reject certain claims, anticipate potential limitations, and formulate alternative expectations. This study thus contributes to a broader understanding of how technological expectations are shaped, negotiated, and institutionalized within professional communities. |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | : artificial intelligence |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | expectations |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | health |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | innovation |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | promises |
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
Topical term or geographic name as entry element | radiology |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Gaglio, Gérald |
Relator term | author |
700 10 - ADDED ENTRY--PERSONAL NAME | |
Personal name | Vayre, Jean-Sébastien |
Relator term | author |
786 0# - DATA SOURCE ENTRY | |
Note | Réseaux | o 248 | 6 | 2025-01-14 | p. 33-72 | 0751-7971 |
856 41 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-reseaux-2024-6-page-33?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-reseaux-2024-6-page-33?lang=en&redirect-ssocas=7080</a> |
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