ArticleSociology of health & illness2026
An Algorithm at the Table at Multidisciplinary Diagnostic Meetings: A Dramaturgical Analysis.
Article in Sociology of health & illness, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper focuses on how a radiological classification algorithm temporarily became part of existing diagnostic deliberations between different medical specialists. It describes a participatory ethnographic case study in which the output of the algorithm was presented by the first author during weekly multidisciplinary neuro-oncology meetings. Following the dramaturgical framework of deliberations by Hajer and adhering to the sociology of diagnosis, we focus on how the algorithm interacted with the established deliberative dynamics of the meetings. We show that by the algorithm's presence, physicians were prompted to speculate about what the algorithm could mean for their collective diagnosis. They did not foresee an independent or leading role for the algorithm yet speculated about how, when and by whom the algorithmic output should be presented. Some physicians followed dominant AI tropes of self-evidence and objectivity, whereas others sought ways to contextualise and question the algorithmic output. We argue that following a dramaturgical framework unveils important questions that must be addressed to make algorithms fit into existing diagnostic practices, such as who represents the algorithm, when and how.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.