Evidence map›Paper›PMID 40322698›Full record

ArticleBioinformation2025

Artificial intelligence in systemic diagnostics: Applications in psychiatry, cardiology, dermatology and oral pathology.

Jaden Penhaskashi, Jonah Danesh, Arya Naeim, Josh Golshirazi, Justin Hedvat, Francesco Chiappelli

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Regulation of inflammaging.Bioinformation · 2025
    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

6 authors.

Jaden PenhaskashiDivision of West Valley Dental Implant Center, Encino, California 91316.
Jonah DaneshUniversity of California, Los Angeles.
Arya NaeimIndependent Researcher, UCLA Health.
Josh GolshiraziUniversity of California, Los Angeles.
Justin HedvatUniversity of California, Los Angeles.
Francesco ChiappelliCenter for the Health Sciences, UCLA, Los Angeles, California and Dental Group of Sherman Oaks, California 91403.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of Artificial Intelligence (AI) in to the field of medicine is offering a new-age of updated diagnostics, prediction and treatment across multiple fields, addressing systemic disease including viral infections and cancer. The fields of Oral Pathology, Dermatology, Psychiatry and Cardiology are shifting towards integrating these algorithms to improve health outcomes. AI trained on biomarkers (

Indexed as

Artificial intelligencecardiac magnetic resonancecardiologycardiovascular diseaseconvolutional neural networksdeep learningdermatologydiagnostic imagingdigital biomarkersfractional amplitude of low-frequency fluctuationsfunctional MRIgenetic biomarkersmachine learningneural networksoral pathologypsychiatrysingle nucleotide polymorphismssystemic inflammation

Identifiers

PMID40322698
PMCPMC12044186

What OpenQuestion 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 OpenQuestion graph.