Evidence map›Paper›PMID 38415032›Full record

ArticleBioinformation2023

Artificial intelligence in oral health surveillance among under-served communities.

Anushree Tiwari, Anirbhan Ghosh, Pankaj Kumar Agrawal, Arjun Reddy, Deepika Singla, Dhaval Niranjan Mehta, Gaurav Girdhar, Kapil Paiwal

Abstract read
In one paragraph

Article in Bioinformation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Beyond the Drill: Can Digital Gadgets Redefine the Future of Dental Education?European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Journal of pharmacy & bioallied sciences · 2024
    Article
  19. Article
  20. 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

8 authors.

Anushree TiwariClinical Quality and Value, American Academy of Orthopaedic Surgeons, Rosemont, USA.
Anirbhan GhoshDepartment of Orthodontics and Dentofacial Orthopedics, Bhabha College of Dental Sciences, Bhopal, M.P., India.
Pankaj Kumar AgrawalDepartment of Oral Pathology and Microbiology, Maitri College of Dentistry and Research Centre, Anjora, Durg, Chhattisgarh, India.
Arjun ReddyManipal College of Dental Sciences, Manipal, India.
Deepika SinglaDepartment of Conservative Dentistry and Endodontics, Desh Bhagat Dental College and Hospital, Malout, India.
Dhaval Niranjan MehtaDepartment of Oral Medicine and Radiology, Narsinbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.
Gaurav GirdharDepartment of Periodontology, Karnavati School of Dentistry Karnavati University, Gandhinagar, Gujarat, India.
Kapil PaiwalDepartment of Oral and Maxillofacial Pathology, Daswani Dental College and Research Center, Kota, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the role of artificial intelligence (AI) in oral surveillance of underserved communities. Available data shows that AI makes it possible to screen, diagnose, track, prioritize, and monitor dental patients remotely via smart devices. As a result, dentists won't have to deal with simple situations that only require standard treatments; freeing them up to focus on more complicated cases. Additionally, this would allow dentists to reach a broader, more underprivileged population in difficult-to-reach places. AI fracture recognition and categorization performance has shown promise in preliminary testing. Methods for detecting aberrations are frequently employed in public health practise and research continues to be focused on them.

Indexed as

AIoral surveillanceunderserved communities

Identifiers

PMID38415032
PMCPMC10895529

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.