Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Genetic Lingo01:11

Genetic Lingo

98.9K
Overview
98.9K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.3K
Genomics02:02

Genomics

35.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.6K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

2.8K
2.8K
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

701
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
701
Gene Therapy00:59

Gene Therapy

25.1K
Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
25.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Coherent transformation of metal halide perovskites.

Nature communications·2026
Same author

Unraveling the Distinct Roles of Al and Ca in Microstructure Evolution and Tensile Response of Extruded Mg-Al-Ca Alloys.

Materials (Basel, Switzerland)·2026
Same author

Forced changes in a Tibetan lake ecosystem over the past millennium.

Nature communications·2026
Same author

An acoustically transmissive electrochemical vector hydrophone with horn-driven velocity amplification.

Microsystems & nanoengineering·2026
Same author

Clear Aligner Attachments: A Scoping Review.

Orthodontics & craniofacial research·2026
Same author

Generalizable self-supervised learning for imaging flow cytometry on multi-dataset leukocyte differential.

Microsystems & nanoengineering·2026

Related Experiment Video

Updated: May 21, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

474

Generative AI for Thematic Analysis in a Maternal Health Study: Coding Semi-structured Interviews using Large

Shan Qiao1, Xingyu Fang2,3,4, Junbo Wang5

  • 1Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina.

Medrxiv : the Preprint Server for Health Sciences
|May 2, 2025
PubMed
Summary

Generative artificial intelligence (GenAI) significantly speeds up qualitative coding of interview transcripts, reducing coding time by 81% with over 80% accuracy. This technology offers a promising, efficient approach to thematic analysis.

More Related Videos

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

616
Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

596

Related Experiment Videos

Last Updated: May 21, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

474
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

616
Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

596

Area of Science:

  • Qualitative Research Methods
  • Computational Linguistics
  • Health Services Research

Background:

  • Thematic analysis of qualitative data relies on coding semi-structured interview transcripts.
  • Manual coding is labor-intensive and time-consuming, hindering efficient data analysis.
  • Generative artificial intelligence (GenAI) offers potential solutions to improve qualitative coding efficiency.

Purpose of the Study:

  • To propose and evaluate a computational pipeline using GenAI for automatic theme extraction from interview transcripts.
  • To assess the efficiency and accuracy of GenAI in performing inductive coding without a predefined scheme.

Main Methods:

  • Utilized ChatGPT for inductive coding on interview transcripts from South Carolina maternity care providers.
  • Developed structured prompts to guide ChatGPT in generating and summarizing codes.
  • Compared AI-generated codes against manually derived codes to evaluate performance.

Main Results:

  • GenAI showed promise in detecting and summarizing codes from interview transcripts.
  • ChatGPT achieved over 80% accuracy in inductive coding tasks.
  • GenAI reduced the time required for coding by 81%.

Conclusions:

  • GenAI models can efficiently process language data for semantic identification in qualitative research.
  • Challenges including inaccuracy, bias, and privacy require careful consideration and mitigation.
  • Further research is needed to refine GenAI models for enhanced reliability in qualitative data analysis.