Evidence map›Paper›PMID 39219800›Full record

ArticleFrontiers in medicine2024

Disability 4.0: bioethical considerations on the use of embodied artificial intelligence.

Francesco De Micco, Vittoradolfo Tambone, Paola Frati, Mariano Cingolani, 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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
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.

Francesco De MiccoResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, University Campus Bio-Medico of Rome, Rome, Italy.
Vittoradolfo TamboneResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, University Campus Bio-Medico of Rome, Rome, Italy.
Paola FratiDepartment of Anatomical, Histological, Forensic and Orthopedic Sciences, Sapienza University, Rome, Italy.
Mariano CingolaniDepartment 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

Robotics and artificial intelligence have marked the beginning of a new era in the care and integration of people with disabilities, helping to promote their independence, autonomy and social participation. In this area, bioethical reflection assumes a key role at anthropological, ethical, legal and socio-political levels. However, there is currently a substantial diversity of opinions and ethical arguments, as well as a lack of consensus on the use of assistive robots, while the focus remains predominantly on the usability of products. The article presents a bioethical analysis that highlights the risk arising from using embodied artificial intelligence according to a functionalist model. Failure to recognize disability as the result of a complex interplay between health, personal and situational factors could result in potential damage to the intrinsic dignity of the person and human relations with healthcare workers. Furthermore, the danger of discrimination in accessing these new technologies is highlighted, emphasizing the need for an ethical approach that considers the social and moral implications of implementing embodied AI in the field of rehabilitation.

Indexed as

artificial intelligencedisabilityhandicapimpairmentmedical ethicsrobotics

Identifiers

PMID39219800
PMCPMC11362069

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.