Evidence map›Paper›PMID 42282343›Full record

ArticleBioinformation2026

Forensic dentistry - Present and future.

Sonali Khatri, Sneha Masne Deshpande, Pawan Rebello, Nidhi Sinha, Pallavi Khare, B Vidya, Deeksha Goel

Abstract read
In one paragraph

Article in Bioinformation, 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

7 authors.

Sonali KhatriDepartment of Oral Pathology and Microbiology, Genesis Institute of Dental Sciences and Research, Firozpur, Punjab, India.
Sneha Masne DeshpandeDepartment of Oral Pathology and Microbiology, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai, Maharashtra, India.
Pawan RebelloDepartment of Oral & Maxillofacial Pathology & Oral Microbiology, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.
Nidhi SinhaDepartment of Oral & Maxillofacial Pathology & Oral Microbiology, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.
Pallavi KhareDepartment of Oral & Maxillofacial Pathology & Oral Microbiology, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, Uttar Pradesh, India.
B VidyaDepartment of dentistry, Dr. Harvansh Singh Judge Institute of Dental Sciences & Hospital, Panjab University, Chandigarh, India.
Deeksha GoelDepartment of Conservative dentistry and Endodontics, DJ College of Dental Sciences and Research, Modi Nagar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolved from the Latin word "Forensis", meaning forum or the court of law, forensic science branches out into a vital subfield, forensic dentistry, which is dedicated to the application of science for the preservation and presentation of dental evidence in the interest of justice. Forensic dentistry is transitioning from manual morphology to high-precision digital diagnostics. While rooted in the thermal resilience of dental tissues, the field now leverages convolutional neural networks (CNNs) for automated age estimation and DNA methylation for epigenetic profiling. Therefore, it is of interest to evaluate the shift toward the Internet of Dental Things (IoDT) and 3D digital twinning via CBCT for immutable identification. By synthesizing 2024-2026 technological advancements, we provide a roadmap for enhancing the objectivity and legal admissibility of dental evidence. These molecular and AI-driven tools are critical for modernizing human identification in mass disaster and criminal investigations, offering superior speed and accuracy over traditional comparative methods. Thus, we report the pivotal shift from manual dental morphology to AI-driven digital diagnostics.

Indexed as

artificial intelligence (AI)Forensic dentistrymachine learning (ML)

Identifiers

PMID42282343
PMCPMC13252325

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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.