Evidence map›Paper›PMID 41537841›Full record

ReviewHNO2026

[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].

Florian Funer

Abstract readEnglish AbstractReview
In one paragraph

Review in HNO, 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

1 author.

Florian FunerInstitut für Ethik und Geschichte der Medizin, Eberhard-Karls-Universität Tübingen, Gartenstr. 47, 72074, Tübingen, Deutschland. florian.funer@uni-tuebingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) and robotics are transforming the foundations of medical practice. Their integration creates new opportunities for precision, individualization and efficiency but also raises fundamental ethical questions about knowledge, responsibility and legitimacy. This article summarizes the main opportunities and risks of the use of AI and robotics in medicine and shows how these technologies reshape the epistemic, normative and social dimensions of medical practice. While numerous ethical principles and guidelines provide initial guidance, the real impact arises only when the principles are embedded in concrete clinical, institutional and procedural contexts. There are three guiding ideas that are proposed as the basis of such ethics: epistemic transparency, shared responsibility and discursive-procedural legitimacy. These form the foundation of a learning, reflective and patient-centered ethics of the responsible use of technology.

Indexed as

Artificial IntelligenceOtolaryngologyRoboticsEthics, MedicalHumansDigital transformation in medicineEthicsLegitimationResponsibilityTransparency

Identifiers

PMID41537841
PMCPMC13197356

What OpenQuestion 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 OpenQuestion graph.