Evidence map›Paper›PMID 42326304›Full record

ArticleCureus2026

Generative Artificial Intelligence as a First Responder in Adolescent Testicular Torsion: A Case Report.

Ibraheem Alami, Qasam Soboh, Haya Taha, Mohammed Tawfiq Abu Aisheh, Faris Abushamma

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 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

5 authors.

Ibraheem AlamiDepartment of Urology, An-Najah National University Hospital, Nablus, PSE.
Qasam SobohDepartment of Urology, Rafidia Surgical Hospital, Nablus, PSE.
Haya TahaDepartment of Radiology, An-Najah National University Hospital, Nablus, PSE.
Mohammed Tawfiq Abu AishehDepartment of Medicine, Faculty of Medicine and Allied Medical Sciences, An-Najah National University, Nablus, PSE.
Faris AbushammaDepartment of Medicine, Faculty of Medicine and Allied Medical Sciences, An-Najah National University, Nablus, PSE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testicular torsion is a time-critical urological emergency in which every hour of delay erodes the chance of testicular salvage. Adolescents frequently delay presentation because of embarrassment, denial, and parental "watch-and-wait" behavior. We report the case of a 15-year-old boy who developed sudden, recurrent testicular pain while alone at home and, instead of waiting, queried ChatGPT for advice. The chatbot unambiguously directed him to seek urgent medical help. He presented to the emergency department within approximately two hours, underwent emergency scrotal exploration with successful detorsion and orchidopexy, and the testis was salvaged. This case illustrates an unexpected and emerging role of generative artificial intelligence as an accessible, 24/7 lay counsellor in time-critical surgical emergencies.

Indexed as

adolescent healthartificial intelligence in medicinechatgptlarge language modelstesticular torsionurology emergency

Identifiers

PMID42326304
PMCPMC13280862

What Socratic holds

Textmetadata
LicenceCC BY
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.