Evidence map›Paper›PMID 40260959›Full record

ReviewThe international journal of medical robotics + computer assisted surgery : MRCAS2025

Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.

Maria Teresa Contaldo, Sonia Triggiani, Giacomo Vignati, Daniele Bracchi, Gianpaolo Carrafiello

Abstract readReview
In one paragraph

Review in The international journal of medical robotics + computer assisted surgery : MRCAS, 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

5 authors.

Maria Teresa ContaldoPostgraduation School in Radiodiagnostics, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0001-9511-5844
Sonia TriggianiPostgraduation School in Radiodiagnostics, University of Milan, Milan, Italy.
Giacomo VignatiPostgraduation School in Radiodiagnostics, University of Milan, Milan, Italy.
Daniele BracchiAgnoli e Giuggioli Law Firm, Milan, Italy.
Gianpaolo CarrafielloPostgraduation School in Radiodiagnostics, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted procedures bear ultimate responsibility, sharing potential liability with manufacturers for malfunctions.

methodsThis study, conducted by a transdisciplinary team of interventional radiologists and a legal expert, evaluates the integration of robotic systems in interventional radiology through a comprehensive literature review, addressing potential legal contingencies.

resultsThis paper aims to define liability in this context and examines how workflows and doctor-patient relationships might be reshaped: patients must be informed about treatment options, including details about robot-assisted procedures and associated risks.

conclusionsThese systems could significantly impact interventional radiology practice. A dedicated informed consent process is necessary to ensure clear communication and protect the decision-making process and patient-centred care; thereby, an informed consent is proposed to comprehensively address these needs.

Indexed as

Consent FormsInformed ConsentRoboticsRobotic Surgical ProceduresHumansLiability, LegalPatient SafetyPhysician-Patient RelationsWorkflowclinical practicedoctor‐patient relationshipinformed consentinterventional radiologyliabilityrobotic systems

Identifiers

PMID40260959
PMCPMC12013463

What OpenQuestion holds

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LicenceCC BY
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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.