Evidence map›Paper›PMID 40964440›Full record

ArticleComputer supported cooperative work : CSCW : an international journal2025

Dimensions of Human-Machine Combination: Prompting the Development of Deployable Intelligent Decision Systems for Situated Clinical Contexts.

Ben Wilson, Chiara Natali, Matt Roach, Darren Scott, Alma Rahat, David Rawlinson, Federico Cabitza

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computer supported cooperative work : CSCW : an international journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ben WilsonSwansea University, Computer Science, Swansea, Wales SA1 8EN UK.
Chiara NataliDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Viale Sarca, 336, 20126 Milano, Italy.
Matt RoachSwansea University, Computer Science, Swansea, Wales SA1 8EN UK.
Darren ScottSchool of Computer Science and Informatics, Cardiff University, Cardiff, Wales CF24 4AG UK.
Alma RahatSwansea University, Computer Science, Swansea, Wales SA1 8EN UK.
David RawlinsonNHS, EMRTS Cymru, Llanelli, Wales SA14 UK.
Federico CabitzaDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Viale Sarca, 336, 20126 Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst it is commonly reported that healthcare is set to benefit from advances in Artificial Intelligence (AI), there is a consensus that, for clinical AI, a gulf exists between conception and implementation. Here we advocate the increased use of situated design and evaluation to close this gap, showing that in the literature there are comparatively few prospective situated studies. Focusing on the combined human-machine decision-making process - modelling, exchanging and resolving - we highlight the need for advances in exchanging and resolving. We present a novel relational space -

Indexed as

Human-AI interactionHuman-centered AIHybrid intelligenceMedical AIReal-world evaluation

Identifiers

PMID40964440
PMCPMC12436561

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.