Evidence map›Paper›PMID 41798315›Full record

ArticleIEEE signal processing magazine2025

The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspects.

C Chiurco, A Favaro, S F Storti, L Brusini, A M Salih, I Boscolo Galazzo, S Plis, G Menegaz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE signal processing magazine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

C ChiurcoDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
A FavaroDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
S F StortiDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
L BrusiniDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
A M SalihDepartment of Population Health Sciences, University of Leicester, Leicester, UK and with William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University London, London, UK and with PRIME Lab, Scientific Research Center, University of Zakho, Kurdistan Region, Iraq.
I Boscolo GalazzoDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
S PlisCenter for Translational Research in Neuroimaging and Data Science, Georgia State University.
G MenegazDept. of Engineering for Innovation Medicine, University of Verona, Verona, Italy.

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
CRCNS: Multimodal Dynamic Causal Learning for NeuroimagingR01MH129047 · NIMH · GEORGIA STATE UNIVERSITY · PI PLIS, SERGEY · 2021 to 2024
$1.3M
NIBIB NIH HHS R01 EB006841NIMH NIH HHS R01 MH129047
6 · The paper itself

Abstract

The dual concepts of neurotechnology and artificial intelligence (AI) form an intriguing but also potentially explosive mixture because of its many ethical and legal implications. The advent of AI and the progress in neurotechnologies are reshaping the landscape not only in all scientific fields but also in everyday life both individually and collectively, ushering in a new era where the centrality, integrity and identity of humans is no longer a fact. Such tumultuous progress has implications at all levels, individual, societal, economical and political. Without the pretension of exploring the whole set of relevant aspects, we aim at providing a multi-disciplinary view on the main ethical, legal and societal issues stemming from neurotechnology and AI, by assessing them using keywords like trustworthiness, fairness, awareness, security, and privacy. In this paper, we propose an overview on the current scenario, taking a philosophical perspective in the light of ethics, and boiling it down to aspects closely related to the technological developments and the regulatory measures that are currently in-place and called for.

Identifiers

PMID41798315
PMCPMC12965113

What OpenQuestion holds

Textmetadata
LicenceTDM
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.