Evidence map›Paper›PMID 42828133›Full record

ArticleBJUI compass2026

The OR black box in urology: A survey on patient acceptance and confidence in AI-assisted surgery.

Julian Risch, Konrad Hügelmann, Leonhard Buck, Hans-Christoph von Knobloch, Jakob Kohler, Oscar Weische, Reha-Baris Incesu, Marie-Luise Weiss, Neele Heckmann, Patricia Schließer and 3 more

Abstract read
In one paragraph

Article in BJUI compass, 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

13 authors.

Julian RischDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.ORCID https://orcid.org/0009-0004-7984-0826
Konrad HügelmannDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Leonhard BuckDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Hans-Christoph von KnoblochDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Jakob KohlerDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.ORCID https://orcid.org/0009-0001-8972-2290
Oscar WeischeDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Reha-Baris IncesuDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Marie-Luise WeissDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.ORCID https://orcid.org/0009-0005-6048-6828
Neele HeckmannDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Patricia SchließerDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Jonas JarczykDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Philipp NuhnDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.
Severin RodlerDepartment of Urology University Hospital of Schleswig-Holstein Kiel Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to assess patient acceptance of intraoperative video recording with Operating Room (OR) black box technology, characterise consent conditions and use-case preferences, and identify predictors of patient confidence in artificial intelligence (AI)-assisted surgery in urological patients. Patients and Methods: This prospective cross-sectional survey was conducted at the urology department of a university hospital from March 2024 to March 2025. Consecutive adults scheduled for elective procedures were enrolled (322 enrolled; 316 completed the binary consent item). A standardised questionnaire assessed consent to operative video storage and attitudes across four Likert-scaled domains (29 items: consent conditions, use cases, data access and AI confidence). The primary outcome was confidence in AI-assisted surgery for the full procedure. Analysis included Wilson 95% confidence intervals, between-group comparisons and multivariable linear regression. Results: Of 316 patients (82.9% male, mean age 65.4 years), 304 (96.2%, 95% CI 93.5-97.8%) consented to operative video storage, with universal acceptance among oncological patients (181/181, 100%). Nonconsenters ( Conclusion: Urological patients broadly accept intraoperative recording and AI-assisted surgery when transparent governance is ensured. Attitudinal factors outweigh demographic and clinical characteristics, supporting patient-centred consent frameworks for OR black box implementation in urological practice.

Indexed as

artificial intelligenceinformed consentintraoperative recordingoperating room black boxpatient acceptancepatient safetysurgical data recordingurology

Identifiers

PMID42828133
PMCPMC13631720

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.