Evidence map›Paper›PMID 40391072›Full record

ArticleFuture healthcare journal2025

Corrigendum to 'Use of an ambient artificial intelligence tool to improve quality of clinical documentation'

Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J Sebire, Saleh Khalil, Elham Asgari, Christopher Tan and 2 more

Abstract readPublished Erratum
In one paragraph

Article in Future healthcare journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. From patient notes to prognostication: The revolutionary potential of event-based foundation models in orthopaedics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Article
  2. Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jasmine BallochTORTUS AI, Holborn Town Hall, London, UK.
Shankar SridharanGreat Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Geralyn OldhamData Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Jo WrayCentre for Outcomes and Experience Research in Children's Health, Illness and Disability (ORCHID), Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Paul GoughData Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Robert RobinsonGreat Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Neil J SebireNIHR Great Ormond Street Hospital BRC, London, UK.
Saleh KhalilTORTUS AI, Holborn Town Hall, London, UK.
Elham AsgariTORTUS AI, Holborn Town Hall, London, UK.
Christopher TanTORTUS AI, Holborn Town Hall, London, UK.
Andrew TaylorData Research, Innovation and Virtual Environments (DRIVE) Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Dominic PimentaTORTUS AI, Holborn Town Hall, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.1016/j.fhj.2024.100157.].

Identifiers

PMID40391072
PMCPMC12088746

What OpenQuestion holds

Textmetadata
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.