Diagnostic Precision: Validating the Oral Disease Recognition Scale

This study developed and validated a scale to evaluate the abilities of dentists and oral health care professionals to recognize oral benign, premalignant, and malignant disorders. The scale may serve as a useful tool to assess clinicians' ability to recognize oral cancer and identify potential cognitive biases in their diagnostic approach.

Authors

Institutions

Publication Details

Journal
Oral Diseases
Published
2025-08-11
DOI
https://doi.org/10.1111/odi.70064
Citations
1
Primary Topic
Oral Health Pathology and Treatment
Type
article
Field-Weighted Citation Impact
1.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Precision: Validating the Oral Disease Recognition Scale

Mahwish Raja, Muhammad Ali Malik, Mahdi Mutahar, Daniel Zahra et al.
1 citations
Oral Diseases
Oral Health Pathology and Treatment
1.47
article

Diagnostic Precision: Validating the Oral Disease Recognition Scale

Mahwish Raja, Muhammad Ali Malik, Mahdi Mutahar, Daniel Zahra, Kamran Ali
article en
1 citations

Abstract

This study developed and validated a scale to evaluate the abilities of dentists and oral health care professionals to recognize oral benign, premalignant, and malignant disorders. The scale may serve as a useful tool to assess clinicians' ability to recognize oral cancer and identify potential cognitive biases in their diagnostic approach.

Oral DiseasesVol. 32(1)
Great Western Hospital (GB), Great Western Hospitals NHS Foundation Trust (GB), Qatar University (QA), University of Portsmouth (GB), Peninsula College of Medicine and Dentistry (GB), University of Plymouth (GB)
Qatar National Library
Openalex Percentile: Top 16%
Oral Health Pathology and Treatment
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Diagnostic Precision: Validating the Oral Disease Recognition Scale — Mahwish Raja, Muhammad Ali Malik, et al. · Oral Diseases (2025) | TGRS Research Map | TGRS