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

Search research articles

Related Experiment Video

Updated: Jul 5, 2026

Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression

Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression

Published on: April 10, 2026

Alleviating Nurse Burnout With an Artificial Intelligence-Selected Mobile Cognitive Behavioral Therapy-Based

Yeongeun Kim^1,2, Chiyoung Cha^2,3, Gumhee Baek²

¹Dongnam Institute of Radiological and Medical Sciences, Busan, Republic of Korea.

JMIR Mhealth and Uhealth

|July 3, 2026

Summary

Related Concept Videos

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

You might also read

Related Articles

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

Sort by

Same author

Differential Predictors of Turnover Intention Among Registered Nurses and Nursing Assistants: A Cross-Sectional Study in South Korea.

International nursing review·2026

Same author

Effects of Third-Wave Cognitive Behavioral Therapy for Healthcare Professionals' Burnout: A Systematic Review and Meta-Analysis.

Healthcare (Basel, Switzerland)·2025

Same author

Chatbots' Empathetic Conversations and Responses: A Qualitative Study of Help‑Seeking Queries on Depressive Moods Across 8 Commercial Conversational Agents.

JMIR formative research·2025

Same author

Exposure to Radiation and Thyroid Cancer Risk Among Young Female Nurses: Longitudinal Analysis From the Korea Nurses' Health Study.

JMIR cancer·2025

Same author

Dysmenorrhea and Occupational Factors: Korea Nurses' Health Study.

Journal of nursing management·2025

Same author

Factors associated with health literacy in older adults aged 65 and over: a secondary data analysis of the 2021 Korea Health Panel applying the Andersen behavioural model.

BMJ open·2025

This summary is machine-generated.

An AI-selected mobile Cognitive Behavioral Therapy (CBT) intervention significantly reduced nurse burnout across client-related, personal, and work-related domains compared to a control group. Nurses found the AI-selected CBT approach helpful for self-awareness and coping strategies.

Area of Science:

Digital health interventions
Artificial intelligence in healthcare
Nursing mental health

Background:

Nurse burnout is a global issue, often addressed with standardized digital Cognitive Behavioral Therapy (CBT).
Personalized interventions are needed to address individual burnout profiles.
Artificial intelligence (AI) enables tailored delivery of CBT modules.

Purpose of the Study:

To evaluate the impact of an AI-selected mobile CBT intervention on nurse burnout.
To compare the effectiveness of AI-selected CBT versus an information-only control group.
To explore nurses' experiences and engagement with the AI-driven intervention.

Main Methods:

Mixed methods design: randomized controlled trial and qualitative content analysis.

Keywords:

artificial intelligence burnout cognitive behavioral therapy mHealth mobile health nurse randomized controlled trial

Related Experiment Videos

Last Updated: Jul 5, 2026

Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression

Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression

Published on: April 10, 2026

125 nurses randomized to AI-selected CBT or control group.

AI algorithm matched CBT modules to individual burnout profiles, stress, and coping styles.

Main Results:

The AI-selected CBT group showed greater reductions in client-related, personal, and work-related burnout.
No significant differences were found in coping strategies, job stress, or stress response between groups.
Qualitative data indicated participant receptiveness and increased self-awareness with the AI intervention.

Conclusions:

AI-selected CBT interventions show promise for alleviating nurse burnout.
Personalized digital interventions can enhance self-awareness and coping.
Further research is needed on intervention sustainability and optimization.