Evidence map›Paper›PMID 39309674›Full record

ArticleFrontiers in medicine2024

Robotics and AI into healthcare from the perspective of European regulation: who is responsible for medical malpractice?

Francesco De Micco, Simone Grassi, Luca Tomassini, Gianmarco Di Palma, Giulia Ricchezze, Roberto Scendoni

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Large Language Models in Surgery: Promise, Pitfalls, and Practical Use.Journal of abdominal wall surgery : JAWS · 2026
    Review
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  7. Article
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  9. Integrating enterprise risk management to address AI-related risks in healthcare: Strategies for effective risk mitigation and implementation.Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management · 2025
    Article
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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

6 authors.

Francesco De MiccoResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
Simone GrassiForensic Medical Sciences, Department of Health Sciences, University of Florence, Florence, Italy.
Luca TomassiniSchool of Law, Legal Medicine, Camerino University, Camerino, Italy.
Gianmarco Di PalmaOperative Research Unit of Clinical Affairs, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Giulia RicchezzeDepartment of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
Roberto ScendoniDepartment of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of robotics and artificial intelligence into medical practice is radically revolutionising patient care. This fusion of advanced technologies with healthcare offers a number of significant benefits, including more precise diagnoses, personalised treatments and improved health data management. However, it is critical to address very carefully the medico-legal challenges associated with this progress. The responsibilities between the different players concerned in medical liability cases are not yet clearly defined, especially when artificial intelligence is involved in the decision-making process. Complexity increases when technology intervenes between a person's action and the result, making it difficult for the patient to prove harm or negligence. In addition, there is the risk of an unfair distribution of blame between physicians and healthcare institutions. The analysis of European legislation highlights the critical issues related to the attribution of legal personality to autonomous robots and the recognition of strict liability for medical doctors and healthcare institutions. Although European legislation has helped to standardise the rules on this issue, some questions remain unresolved. We argue that specific laws are needed to address the issue of medical liability in cases where robotics and artificial intelligence are used in healthcare.

Indexed as

accountabilityartificial intelligenceclinical decision makingmedical liabilitymedical negligenceroboticstort law

Identifiers

PMID39309674
PMCPMC11412847

What OpenQuestion holds

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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.