Recruiting

CMAI

Sponsor:

Stanford University

Code:

NCT07107880

Conditions

Communication Skills

Eligibility Criteria

Sex: All

Age: 18 - 70+

Healthy Volunteers: Accepted

Interventions

Communication Assessment through AI and Human

Study Details

Brief summary:

This study will evaluate whether a web-based artificial intelligence platform (AI) (Clinical Mind AI \[CMAI\] Stanford, CA), can assess communication skills in anesthesiology trainees, including residents and fellows, in the setting of disclosing medical errors. All participants will participate in an AI-generated simulation by using the platform remotely, and CMAI will assess trainee performance immediately after the simulation.

Conditions

Communication Skills

Study ID

NCT07107880

Start date

Nov 10, 2025

Status verified date

Apr, 2026

Completion date

Nov 14, 2026

Anticipated

Primary completion date

Sep 14, 2026

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18 - 70+

Healthy Volunteers: Accepted

Inclusion Criteria:

  • Participant's must be 18 years of age or older
  • Graduate medical trainess such as residents and fellows at all levels of training excluding PGY1 trainees at Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University
  • Able to speak and understand English
  • Willing and able to provide consent to participate in research
  • Able to participate in Artificial Intelligence communication simulation

Exclusion Criteria:

  • Non-English speaker
  • unable to provide consent to participate in research
  • individual with no access to the necessary technology (internet, computer/smart device) required for participating in the digital, voice-based interaction with the AI platform

Study Design

Enrollment

45 participants

Anticipated

Intervention Model

Single group

Primary purpose

Supportive Care

Interventions and Outcome Measures

Arms

experimental: Voice Artificial Intelligence (AI) Group

Participants will remotely engage with an AI-simulated parent of a pediatric patient through a voice call, discussing a clinical scenario concerning their child. The participant's communication skills will be assessed using an artificial intelligence (AI) system and two human evaluators using the same rating scales.

Interventions

Communication Assessment through AI and Human

Participants will remotely engage in an AI-generated simulation that presents an voice-based conversation with a simulated parent of a pediatric patient. The scenario involves discussing a clinical scenario concerning their child. Following the simulation, the participant's communication skills will be assessed using an artificial intelligence (AI) system trained to evaluate the key aspects of communication using standardized rating scales. In addition, two human evaluators will assess the participant's communication skills using the same rating scales.

Primary outcome measure

  • Reliability of AI Conversational Performance Assessment [ Time Frame: Immediately after the simulation ]

Central Contacts and Locations

Central contacts

Asheen Rama, MD

650-723-5728asheen21@stanford.edu

Thomas Caruso, MD, PhD

650-497-0927tjcaruso@stanford.edu

Locations

Lucile Packard Children's Hospital Stanford

Recruiting

Palo Alto, California, United States, 94304

Contacts

Asheen Rama, MD

3106994815asheen21@stanford.edu

Thomas J Caruso, MD, PhD

6507235728tjcaruso@stanford.edu

More Information

Sponsor

Stanford University

Last update posted

Apr 24, 2026

Last verified

Apr, 2026

Keywords

  • Voice Artificial Intelligence (AI)
  • Simulation
  • Clinical Mind Artificial Intelligence (CMAI)
  • Medical Error Disclosure

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by Stanford University on 2026-04-24.