Evidence mapPaperPMID 39941325Full record

ReviewDiagnostics (Basel, Switzerland)2025

Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review.

Sarfuddin Azmi, Faisal Kunnathodi, Haifa F Alotaibi, Waleed Alhazzani, Mohammad Mustafa, Ishtiaque Ahmad, Riyasdeen Anvarbatcha, Miltiades D Lytras, Amr A Arafat

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

9 authors.

Sarfuddin AzmiScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.ORCID 0000-0002-1868-3458
Faisal KunnathodiScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.ORCID 0000-0002-5958-3672
Haifa F AlotaibiScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.
Waleed AlhazzaniScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.
Mohammad MustafaScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.
Ishtiaque AhmadScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.
Riyasdeen AnvarbatchaScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.
Miltiades D LytrasComputer Science Department, College of Engineering, Effat University, Jeddah 21478, Saudi Arabia.ORCID 0000-0002-7281-5458
Amr A ArafatScientific Research Center, Al Hussain bin Ali Street, Ministry of Defense Health Services, Riyadh 12485, Saudi Arabia.ORCID 0000-0003-0951-7287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencedeep learningmachine learningobesityprecision medicinerisk prediction

Identifiers

PMID39941325
PMCPMC11816645

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.