Artificial Intelligence Powered Mental Health Support Tool For Physicians In Training

NCT07087119 | Not Yet Recruiting

• 1 other identifier: STUDY00003196
• Study Type: interventional
• Target: 20
• Locations: 1 country
• Sites: 1

Brief Summary

The purpose of this pilot study is to evaluate the acceptability of an artificial intelligence powered mental health support tool for mental health wellness amongst physicians in training. The primary research procedures are: The primary research procedure will be the utilization of artificial intelligence powered mental health support session through a web browser for physicians in training to address symptoms related to depression and anxiety. A pre and post intervention survey, evaluating depression symptoms with the standardized PHQ-9 questionnaire and anxiety symptoms with the standardized GAD-7 questionnaire will be conducted to assess changes in mental health wellness. The study will enroll physicians in training, including Internal Medicine residents and Gastroenterology fellows. The study includes at least 4 sessions. The total study duration for each subject is 3 months.

Conditions

Wellness, Psychological; Mental Health Wellness 1

Keywords

artificial intelligence; physician in training; mental health; wellness

Outcome Measures

Primary Outcomes (1)

• Feasibility of using Artificial Intelligence sessions as a wellness resource

  Investigators will evaluate the percentage of participants who find the Artificial Intelligence Sessions to be easily accessible and helpful.

  3 months

Secondary Outcomes (2)

• Prevalence of depression and anxiety in training physicians

  3 months

• Determine work-related and home-related factors that impact trainee mental health

  3 months

Study Arms (1)

physicians in training will enroll with maintained privacy into just the study group

EXPERIMENTAL

Participants will be able to engage in artificial intelligence powered mental health support session through a web browser in private sessions

Behavioral: utilization of artificial intelligence powered mental health support session through a web browser

Interventions

utilization of artificial intelligence powered mental health support session through a web browser BEHAVIORAL

utilization of artificial intelligence powered mental health support session with the software XAIA through a web browser for physicians in training to address symptoms related to depression and anxiety.

physicians in training will enroll with maintained privacy into just the study group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Individuals 18 years old or older are included.
• Training physicians in Internal Medicine residency and Gastroenterology fellowship at Cedars Sinai.
• Study is limited to Cedars-Sinai employees who are known to speak English.

You may not qualify if:

• Active treatment of severe and uncontrolled anxiety or depression with a health care professional
• Unwilling and or unable to participate
• Non-English speakers.

Sponsors & Collaborators

• Cedars-Sinai Medical Center: lead

Study Sites (1)

Cedars Sinai Medical Center

Los Angeles, California, 90048, United States

Location

Related Publications (4)

• Collier VU, McCue JD, Markus A, Smith L. Stress in medical residency: status quo after a decade of reform? Ann Intern Med. 2002 Mar 5;136(5):384-90. doi: 10.7326/0003-4819-136-5-200203050-00011.

  PMID: 11874311 BACKGROUND

• Guille C, Frank E, Zhao Z, Kalmbach DA, Nietert PJ, Mata DA, Sen S. Work-Family Conflict and the Sex Difference in Depression Among Training Physicians. JAMA Intern Med. 2017 Dec 1;177(12):1766-1772. doi: 10.1001/jamainternmed.2017.5138.

  PMID: 29084311 BACKGROUND

• West CP, Tan AD, Habermann TM, Sloan JA, Shanafelt TD. Association of resident fatigue and distress with perceived medical errors. JAMA. 2009 Sep 23;302(12):1294-300. doi: 10.1001/jama.2009.1389.

  PMID: 19773564 BACKGROUND

• Dutheil F, Aubert C, Pereira B, Dambrun M, Moustafa F, Mermillod M, Baker JS, Trousselard M, Lesage FX, Navel V. Suicide among physicians and health-care workers: A systematic review and meta-analysis. PLoS One. 2019 Dec 12;14(12):e0226361. doi: 10.1371/journal.pone.0226361. eCollection 2019.

  PMID: 31830138 BACKGROUND

MeSH Terms

Conditions

Psychological Well-Being

Condition Hierarchy (Ancestors)

Personal Satisfaction; Behavior

Study Officials

• Kavya Reddy, MD

  Cedars-Sinai Medical Center

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Kavya Reddy, MD

CONTACT

(310) 423-2811; kavya.reddy@cshs.org

Barbara Hollander, MD

CONTACT

barbara.hollander@cshs.org

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Masking Details: Primary Investigator and outcomes assessors will not be aware of participant information. There will only be two investigators with access to participant involvement for privacy given nature of the study. The investigators with access to participant involvement are only in place for participant safety should they need immediate help during the study. Participants will be aware of who has their information and ability to contact should they need help. However the primary investigator and investigators involved in evaluating the data will have no access to participant information.
• Purpose: SUPPORTIVE CARE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Program Director Gastroenterology Fellowship Director Adult Care Clinic Gastroenterology Assistant Clinical Professor, David Geffen School of Medicine at UCLA

Study Record Dates

• First Submitted: June 9, 2025
• First Posted: July 25, 2025
• Study Start: July 21, 2025
• Primary Completion (Estimated): June 20, 2026
• Study Completion (Estimated): December 1, 2026
• Last Updated: July 25, 2025

Record last verified: 2025-07

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)