Evidence map›Paper›PMID 41454171›Full record

ArticleNPJ digital medicine2025

AI-guided digital intervention with physiological monitoring reduces intrusive memories after experimental trauma.

Megan T deBettencourt, Sruthi Sakthivel, Emily A Holmes, Mark Chevillet

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. 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.

Megan T deBettencourtRuby Neurotech, Redwood City, CA, USA. megan@ruby-neurotech.com.
Sruthi SakthivelRuby Neurotech, Redwood City, CA, USA.
Emily A HolmesDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Mark ChevilletRuby Neurotech, Redwood City, CA, USA.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Trauma prevalence is vast globally. Evidence-based digital treatments can help, but most require human guidance. Human guides provide tailored instructions and responsiveness to internal states, but limit scalability. Might generative AI and neurotechnology provide a scalable alternative? Here we provide a first test of ANTIDOTE, combining AI guidance and pupillometry to automatically deliver and monitor the Imagery Competing Task Intervention (ICTI). ICTI is a digital intervention developed by our group to reduce intrusive memories after psychological trauma, previously delivered with human guidance. One hundred healthy volunteers were exposed to videos of traumatic events and randomized to an intervention or active control condition. As predicted, intervention participants reported significantly fewer intrusive memories over the following week. Post hoc assessments confirmed the AI guide delivered the intervention successfully. Pupil size tracked intervention engagement and was associated with symptom reduction, providing a candidate biomarker. These findings suggest a path towards developing AI-guided digital interventions with scalability potential.

Identifiers

PMID41454171
PMCPMC12855936

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.