ArticleSociology of health & illness2026
Artificial Intelligence and the Clinical Gaze: Visual Practices of AI-Assisted Colonoscopy.
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. Cited by 1 paper.
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
1 citing paper in PubMed.
- Artificial Intelligence and the Clinical Gaze: Visual Practices of AI-Assisted Colonoscopy.Sociology of health & illness · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
This article examines how commercial artificial intelligence (AI) systems are integrated into the visual practice of colonoscopy and how they reshape the clinical gaze as a sociotechnical and situated mode of perception. Based on ethnographic observations of colonoscopies and in-depth interviews with gastroenterologists, this study analyses the real-time use of AI-based pattern recognition systems during diagnostic procedures. Unlike retrospective image analysis in radiology, AI in colonoscopy operates in vivo and in real time, requiring practitioners to engage with algorithmic markings within the unfolding process of examination. The clinical gaze emerges here as a form of professional vision constituted through embodied routines, tacit knowledge, technological infrastructures and institutionalised practices. This article identifies three modes of integrating AI-technology-driven, experience-driven and interrupted-that reveal the contingency and multiplicity of human-machine relations in clinical imaging work. Rather than displacing the clinical gaze, AI alters the conditions under which it can be enacted, bringing with it shifting forms of visual selectivity, epistemic authority and new uncertainties. This study contributes to sociological debates on algorithmic medicine and digital automation by showing how AI systems intervene in the practical organisation of medical seeing, highlighting the tensions and adjustments through which contemporary visual practices in healthcare are reconfigured.
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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.