Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

You might also read

Related Articles

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

Sort by

Same author

Equitable Digital Frailty Screening for Marginalized Older Adults Using Audio Computer-Assisted Self-Interview: Collaborative Development Guide and User Testing Study.

JMIR formative research·2026

Same author

Early Mental Health Treatment and Domestic Violence Outcomes in Psychosis: A Population-Based Cohort Study.

The International journal of social psychiatry·2026

Same author

Predictors of Receiving Disability Support Services After Release From Prison in Adults With Intellectual Disability: A Population-Based Linkage Study From New South Wales, Australia.

Journal of intellectual disability research : JIDR·2025

Same author

Older Perpetrators of Domestic Violence: Mixed-Effects Logistic Regression Analysis of Police Records.

JMIR aging·2025

Same author

Evaluating the User Experience and Usability of Game-Based Cognitive Assessments for Older People: Systematic Review.

JMIR aging·2025

Same author

Complex Trauma from Child Abuse and Neglect "<i>I'm not Sure We're even All Talking about the Same Thing and We're Probably Not</i>".

Journal of child & adolescent trauma·2024

Same journal

Codevelopment of a Digital Screening and Intervention Tool to Improve Lifestyle Habits in Children: Focus Group Study With Parents and Clinicians.

JMIR pediatrics and parenting·2026

Same journal

Understanding Adolescents' Experiences of Cyberbullying in Jordan: Evidence From a Narrative Perspective.

JMIR pediatrics and parenting·2026

Same journal

The Technologically Mediated Motherhood Constellation: Smartphone and AI as Novel Actors in Maternal Psychic Organization.

JMIR pediatrics and parenting·2026

Same journal

Online Search Trends on Child Abuse During the COVID-19 Pandemic Using the Most Widely Used Search Engine: Retrospective Observational Study.

JMIR pediatrics and parenting·2026

Same journal

Family-Focused Digital Mental Health Care for Pediatric Oppositional Symptoms and Caregiver Outcomes: Retrospective Analysis.

JMIR pediatrics and parenting·2026

Same journal

Impact of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: Survey Study of Clinicians' Perceptions.

JMIR pediatrics and parenting·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 8, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks.

Wilson Lukmanjaya¹, Tony Butler¹, Sarah Cox²

¹School of Population Health, University of New South Wales Sydney, F25, Samuels Building, Samuel Terry Ave, Kensington, Sydney, 2033, Australia, 61 293853136, 61 93136185.

JMIR Pediatrics and Parenting

|July 24, 2025

Summary

This summary is machine-generated.

Child maltreatment research can be improved using artificial intelligence (AI) to analyze narratives. A proposed seven-step framework ensures responsible AI implementation for policy reform.

Keywords:

artificial intelligence benefits and risks child maltreatment narratives large language models research framework text mining

More Related Videos

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Published on: September 19, 2019

Related Experiment Videos

Last Updated: Sep 8, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure

Published on: September 19, 2019

Area of Science:

Child welfare research
Computational social science
Public health informatics

Background:

Child maltreatment research is underutilized for policy reform.
Current qualitative or survey data is often too broad or unrepresentative.
Effective policy and intervention strategies are limited by existing data limitations.

Purpose of the Study:

To propose a framework for utilizing large language models (AI) to analyze child maltreatment narratives.
To extract population-level insights on factors like mental health and treatment needs.
To ensure responsible and secure application of AI in child maltreatment research.

Main Methods:

A seven-step framework is proposed for AI implementation.
Steps include data governance, researcher vetting, deidentification, and access.
Feasibility testing, algorithm implementation, and expert validation are included.

Main Results:

The proposed framework addresses the underutilization of child maltreatment narratives.
AI, specifically large language models, can extract valuable population-level insights.
The framework aims to mitigate risks of privacy breaches, bias, and unreliable conclusions.

Conclusions:

A structured framework is essential for applying AI to child maltreatment data.
This approach can enhance evidence for policy reform and intervention strategies.
Responsible AI implementation is crucial for maximizing the benefits of narrative analysis.