Evidence map›Paper›PMID 42497158›Full record

ArticlePLOS digital health2026

Transparency in healthcare AI: Testing EU regulatory provisions against users' transparency needs.

Anna Spagnolli, Cecilia Tolomini, Elisa Beretta, Patrik Pluchino, Claudio Sarra

Abstract read
In one paragraph

Article in PLOS digital health, 2026. 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

5 authors.

Anna SpagnolliDipartimento di Psicologia Generale, Università degli Studi di Padova, Padova, Italy.ORCID https://orcid.org/0000-0002-7964-7186
Cecilia TolominiDipartimento di Diritto Privato e Critica del Diritto, Università degli Studi di Padova, Padova, Italy.
Elisa BerettaDipartimento di Psicologia Generale, Università degli Studi di Padova, Padova, Italy.
Patrik PluchinoDipartimento di Psicologia Generale, Università degli Studi di Padova, Padova, Italy.
Claudio SarraHuman Inspired Technologies Research Centre, Università degli Studi di Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Algorithmic systems play an essential role in healthcare and are pervasively incorporated into medical software and equipment. In the European Union, providers must share transparency information with deployers (users) via a document called Instructions for Use (IFU, Directive 2024/1689 or AI Act). This study tests the extent to which deployers' transparency needs map onto the structure of an IFU document. A survey was administered online via the Qualtrics platform to four types of deployers, i.e., managers (N = 238), healthcare professionals (N = 115), patients (N = 229), and information technology workers (N = 230). The participants rated the relevance of a set of transparency needs and selected the IFU section more likely to address them. The results reveal differentiated priorities across user types and reveal potential weaknesses in locating some transparency information. Recommendations to build a locally meaningful IFU are derived.

Identifiers

PMID42497158
PMCPMC13399356

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.