Natural Language Understanding to Assess Oral Health-Related Quality of Life: A Cross-Sectional Study Incorporating a Mixed Methods Approach.

ABSTRACT:

Background

Natural language understanding (NLU), a subfield of artificial intelligence, focuses on the computational understanding of human language. This technology offers an objective and quantitative approach to analysing interviews in qualitative research. This study hypothesises that NLU can assess the impact of oral health on quality of life by analysing semi-structured interviews.

Objective

This study aimed to assess the utility of NLU in evaluating oral health-related quality of life by analysing semi-structured interviews with individuals diagnosed with hypodontia.

Methods

A cross-sectional qualitative study was conducted on 10 participants (aged 16-25 years) suffering from hypodontia. Semi-structured interviews were transcribed and analysed using IBM Watson

SUBMITTER: Anweigi L 

PROVIDER: S-EPMC12408959 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature