Evidence map›Paper›PMID 40880570›Full record

ReviewWorld journal of critical care medicine2025

Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction: A mini review.

Luca Marino, Federico Bilotta

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of critical care medicine, 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. Review
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

2 authors.

Luca MarinoDepartment of Mechanical and Aerospace Engineering, "Sapienza" University of Rome, Rome 00185, Italy.
Federico BilottaDepartment of Anesthesiology, Critical Care and Pain Medicine, University of Rome "La Sapienza", Rome 00185, Italy. federico.bilotta@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration of artificial intelligence increases in all aspects of human life, particularly in healthcare systems. Traumatic brain injury is a significant cause of mortality and long-term disability, with an important impact on the socio-economic system of healthcare. The role of artificial intelligence in imaging and outcome prediction for traumatic brain injury patients is reviewed with a particular emphasis to the characteristics of machine and deep learning methods. Evidence of potential improvement in the clinical practice in discussed.

Indexed as

Artificial intelligenceBrain imagingOutcome predictionTraumatic brain injury

Identifiers

PMID40880570
PMCPMC12304951

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.