Evidence map›Paper›PMID 41858498›Full record

ArticleFrontiers in molecular neuroscience2026

Integrating neural organoids and AI: increasing the risk of artificial consciousness or medical malpractice?

Alexander R Harris, Patrick McGivern, Kyle C A Wedgwood, Frederic Gilbert

Abstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 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

4 authors.

Alexander R HarrisDepartment of Biomedical Engineering, The University of Melbourne, Parkville, VIC, Australia.
Patrick McGivernSchool of Humanities and Social Inquiry, University of Wollongong, Wollongong, NSW, Australia.
Kyle C A WedgwoodLiving Systems Institute, University of Exeter, Exeter, United Kingdom.
Frederic GilbertSchool of Humanities and Social Sciences, EthicsLab, University of Tasmania, Hobart, TAS, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural organoids can be integrated with AI models in various formats, termed AI-NO systems. Neural organoids and AI are each high impact research fields which may play significant roles in biological research and clinical decision making. However, their potential benefits, pitfalls and associated governance structures are often overshadowed by highly speculative discourse over the possibility of them developing some form of consciousness and subsequently acquiring a level of moral status. This article examines the cause for this speculative discourse, arguing for a focus on more immediate, empirically grounded ethical issues. It describes potential ethical issues when data obtained from AI models is used for research planning and drug discovery on neural organoids; when AI models are used to analyze data obtained from neural organoids; and when AI models are used to control interventions on neural organoids in open- or closed-loop configurations. It concludes with an investigation on how AI-NO systems may impact clinical decision making.

Indexed as

artificial intelligenceclinical trialsethicsneural organoidpreclinical researchspeculative ethicsstem cell

Identifiers

PMID41858498
PMCPMC12996199

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.