Evidence map›Paper›PMID 39311476›Full record

ArticleSociology of health & illness2025

The promise of artificial intelligence in health: Portrayals of emerging healthcare technologies.

Ash Watson, Vaughan Wozniak-O'Connor

Abstract read
In one paragraph

Article in Sociology of health & illness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ash WatsonCentre for Social Research in Health, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-5826-8534
Vaughan Wozniak-O'ConnorDesign Futures Lab, UNSW Sydney, Sydney, New South Wales, Australia.

Funding

Australian Research Council CE200100005
6 · The paper itself

Abstract

Emerging technologies of artificial intelligence (AI) and automated decision-making (ADM) promise to advance many industries. Healthcare is a key locus for new developments, where operational improvements are magnified by the bigger-picture promise of improved care and outcomes for patients. Forming the zeitgeist of contemporary sociotechnical innovation in healthcare, media portrayals of these technologies can shape how they are implemented, experienced and understood across healthcare systems. This article identifies current applications of AI and ADM within Australian healthcare contexts and analyses how these technologies are being portrayed within news and industry media. It offers a categorisation of leading applications of AI and ADM: monitoring and tracking, data management and analysis, cloud computing, and robotics. Discussing how AI and ADM are depicted in relation to health and care practices, it examines the sense of promise that is enlivened in these representations. The article concludes by considering the implications of promissory discourses for how technologies are understood and integrated into practices and sites of healthcare.

Indexed as

Artificial IntelligenceBiomedical TechnologyDelivery of Health CareAustraliaHumansMass MediaRoboticsartificial intelligenceautomated decision‐makingdataemerging technologieshealthmediamedicinepromisepromissory discoursesociotechnical imaginary

Identifiers

PMID39311476
PMCPMC11694777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.