Evidence map›Paper›PMID 40230901›Full record

ArticleBioinformation2024

Digital pathology: Revolutionizing oral and maxillofacial diagnostics.

Mrunali Ghanasham Gharat, Sneha Masne Deshpande, Swati Dhone, Vibhuti Shreesh Mhatre, Bhavani Nagendra Sangala, Jyotsna Sethumadhavan, Amit Patil, Prachi Gholap

Abstract read
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In one paragraph

Article in Bioinformation, 2024. 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

8 authors.

Mrunali Ghanasham GharatDepartment of Oral Pathology and Microbiology Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai - 400614, Maharashtra, India.
Sneha Masne DeshpandeDepartment of Oral Pathology and Microbiology Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai - 400614, Maharashtra, India.
Swati DhoneDepartment of Pediatric and Preventive Dentistry, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai - 400614, Maharashtra, India.
Vibhuti Shreesh MhatreDepartment of Oral and Maxillofacial Pathologist, Oral Pathology and Microbiology, YMT Dental College and Hospital, Navi Mumbai, Maharashtra, India.
Bhavani Nagendra SangalaDepartment of Oral Pathology and Microbiology Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai - 400614, Maharashtra, India.
Jyotsna SethumadhavanDepartment of Prosthodontics, Crown and Bridge, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai, Maharashtra - 400614, India.
Amit PatilDepartment of Conservative Dentistry & Endodonotics, Bharati Vidyapeeth Deemed to be University Dental College and Hospital, Navi Mumbai, Maharashtra - 400614, India.
Prachi GholapDepartment of Prosthodontics, Crown and Bridge, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Belapur, Navi Mumbai, Maharashtra - 400614, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathology (DP) has revolutionized oral and maxillofacial pathology (OMP) by enhancing diagnostic accuracy and efficiency, leading to improved patient outcomes. Therefore, it is of interest to report on the potential of Whole Slide Imaging (WSI), Artificial Intelligence (AI) and telepathology in OMP, highlighting their role in facilitating remote consultations and automated image analysis. AI and Machine Learning (ML) have further advanced cancer diagnosis by improving pattern recognition and predictive accuracy. While Digital pathology offers numerous benefits, challenges such as data management and ethical considerations remain. Future research should explore ways to further integrate Digital pathology into OMP practice.

Indexed as

Computational pathologydigital slide scanningmachine learning in pathologymaxillofacial diagnostic precision

Identifiers

PMID40230901
PMCPMC11993382

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Registered trials

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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.