Evidence map›Paper›PMID 38384518›Full record

ReviewHeliyon2024

Ethical and regulatory challenges of AI technologies in healthcare: A narrative review.

Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, Massimo Esposito

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 360 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
360citing papers in PubMed, 9 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

360 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  10. Article
  11. AI-enabled clinical trials.Nature reviews bioengineering · 2026
    Article
  12. Review
  13. Article
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  15. Article
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  17. Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Review
  19. Review
  20. Article

300 more citing papers are in PubMed but not listed here.

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

4 authors.

Ciro MennellaInstitute for High-Performance Computing and Networking (ICAR) - Research National Council of Italy (CNR), Italy.
Umberto ManiscalcoInstitute for High-Performance Computing and Networking (ICAR) - Research National Council of Italy (CNR), Italy.
Giuseppe De PietroInstitute for High-Performance Computing and Networking (ICAR) - Research National Council of Italy (CNR), Italy.
Massimo EspositoInstitute for High-Performance Computing and Networking (ICAR) - Research National Council of Italy (CNR), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past decade, there has been a notable surge in AI-driven research, specifically geared toward enhancing crucial clinical processes and outcomes. The potential of AI-powered decision support systems to streamline clinical workflows, assist in diagnostics, and enable personalized treatment is increasingly evident. Nevertheless, the introduction of these cutting-edge solutions poses substantial challenges in clinical and care environments, necessitating a thorough exploration of ethical, legal, and regulatory considerations. A robust governance framework is imperative to foster the acceptance and successful implementation of AI in healthcare. This article delves deep into the critical ethical and regulatory concerns entangled with the deployment of AI systems in clinical practice. It not only provides a comprehensive overview of the role of AI technologies but also offers an insightful perspective on the ethical and regulatory challenges, making a pioneering contribution to the field. This research aims to address the current challenges in digital healthcare by presenting valuable recommendations for all stakeholders eager to advance the development and implementation of innovative AI systems.

Indexed as

Artificial intelligenceDecision-makingEthicsHealthcareRegulatory guidelinesTechnologies

Identifiers

PMID38384518
PMCPMC10879008

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.