Intubation Performance Using AI Versus Conventional Videolaryngoscope in a MannikinNCT07508826
AI-assisted Endotracheal Intubation
A study testing AI-assisted videolaryngoscopy and Conventional Intubation in people with Intubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin, run by The Hospital for Sick Children at 1 site in Canada.
Trial summary
This study evaluates artificial intelligence (AI)-assisted videolaryngoscopy for endotracheal intubation in a simulated pediatric airway environment. Healthcare providers with varying levels of airway management experience will perform intubations on pediatric and neonatal mannequins using either AI-assisted… Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Intubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin
- What is being tested?
- AI-assisted videolaryngoscopy and Conventional Intubation
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 80 participants
- Where
- 1 siteCanada
- Study dates
- 1 May 2026to 20 Jul 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Any healthcare worker or trainee
Who cannot join
- refusal to participate
Trial locations and contacts
1 site in 1 country.
About this study
Official title: AI-assisted Endotracheal Intubation in Children and Neonates: A Prospective Randomized Controlled Simulation Trial
This study evaluates artificial intelligence (AI)-assisted videolaryngoscopy for endotracheal intubation in a simulated pediatric airway environment. Healthcare providers with varying levels of airway management experience will perform intubations on pediatric and neonatal mannequins using either AI-assisted videolaryngoscopy (larynGuide) or conventional videolaryngoscopy.
Participants will be randomized to perform intubation tasks using one of the two techniques. The primary outcome is the time required for successful intubation. Secondary outcomes include first-attempt success rate, number of attempts, airway visualization (POGO score), usability of the AI system measured by the System Usability Scale (SUS), and gaze tracking metrics evaluating user interaction with visual guidance.
This equivalence randomized controlled trial aims to determine whether AI-assisted videolaryngoscopy performs comparably to conventional videolaryngoscopy while potentially improving success rates and user experience.
Read the detailed description
Artificial intelligence is increasingly being applied in clinical medicine, including airway management. Machine vision algorithms have recently been developed to recognize airway anatomy and provide guidance during endotracheal intubation.
LarynGuide is an AI-based system designed to guide endotracheal tube placement using real-time visual prompts during videolaryngoscopy. This study aims to evaluate whether AI-assisted intubation is equivalent to conventional videolaryngoscopy in terms of time required for intubation and whether AI guidance improves success rates or usability.
This prospective randomized controlled simulation trial will recruit healthcare providers with varying levels of airway management experience. Participants will receive a short training session with the AI system and then will be randomized to perform intubations using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy.
Each participant will perform intubations on both pediatric and neonatal airway mannequins in a simulation setting. Outcomes including intubation time, success rate, number of attempts, POGO score, gaze tracking metrics, and user satisfaction will be collected.
The study will be conducted at the Hospital for Sick Children Simulation Centre in Toronto, Canada.
- Being tested
- AI-assisted videolaryngoscopy, Conventional Intubation
- Keywords
- intubation, mannikin, simulation, artificial intelligence, larynguide, neonates, infants, children
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-assisted videolaryngoscopyOther
Participants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system
Conventional IntubationOther
Traditional intubation
| Study group | Role | What they receive |
|---|---|---|
| AI-assisted videolaryngoscopy | Experimental | Participants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system Receives: Other: AI-assisted videolaryngoscopy |
| Conventional videolaryngoscopy | Active comparator | Participants perform simulated endotracheal intubation using standard videolaryngoscopy without AI assistance. Receives: Other: Conventional Intubation |
What is being measured
The primary outcome is the main question the study is designed to answer.
Time required for intubation
Measured: baseline, pre-intervention/procedure/surgery
Secondary outcomes (2)
First-attempt success rate
Measured: baseline, pre-intervention/procedure/surgery
POGO score
Measured: baseline, pre-intervention/procedure/surgery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted2 Apr 2026
- Study start1 May 2026
- Primary completion30 Jun 2026
- Study completion20 Jul 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Intubation Performance Using AI Versus Conventional Videolaryngoscope in a MannikinStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Model description
- Participants will be randomized to perform simulated endotracheal intubation using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy. Each participant will perform intubation on both child and neonatal mannequins
- Masking
- None (open label)
- Enrolment
- 80 participants (actual)
Sponsor and investigators
- Lead sponsor
- The Hospital for Sick Children
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Clyde Matava, The Hospital for Sick Children
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07508826
- Sponsor's protocol ID
- 1000082159
- Status last verified
- Jul 2026
- First submitted
- 25 Mar 2026
- Last updated
- 22 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Nemani S, Goyal S, Sharma A, Kothari N. Artificial intelligence in pediatric airway - A scoping review. Saudi J Anaesth. 2024 Jul-Sep;18(3):410-416. doi: 10.4103/sja.sja_110_24. Epub 2024 Jun 4.
PubMed 39149736Matava C, Pankiv E, Ahumada L, Weingarten B, Simpao A. Artificial intelligence, machine learning and the pediatric airway. Paediatr Anaesth. 2020 Mar;30(3):264-268. doi: 10.1111/pan.13792. Epub 2020 Jan 2.
PubMed 31845543
Study at a glance
From the registry record, last updated by the sponsor on 22 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- AI-assisted Endotracheal Intubation in Children and Neonates: A Prospective Randomized Controlled Simulation Trial
- ClinicalTrials.gov ID
- NCT07508826
- Acronym / sponsor ID
- 1000082159
- Keywords
- intubation, mannikin, simulation, artificial intelligence, larynguide, neonates, infants, children
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 80 participants (actual)
- Lead sponsor
- The Hospital for Sick ChildrenUniversity, hospital or other
- Study start
- 1 May 2026 (actual)
- Primary completion
- 30 Jun 2026 (actual)
- Study completion
- 20 Jul 2026 (actual)
- First posted
- 2 Apr 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study evaluates artificial intelligence (AI)-assisted videolaryngoscopy for endotracheal intubation in a simulated pediatric airway environment. Healthcare providers with varying levels of airway management experience will perform intubations on pediatric and neonatal mannequins using either AI-assisted videolaryngoscopy (larynGuide) or conventional videolaryngoscopy.
Participants will be randomized to perform intubation tasks using one of the two techniques. The primary outcome is the time required for successful intubation. Secondary outcomes include first-attempt success rate, number of attempts, airway visualization (POGO score), usability of the AI system measured by the System Usability Scale (SUS), and gaze tracking metrics evaluating user interaction with visual guidance.
This equivalence randomized controlled trial aims to determine whether AI-assisted videolaryngoscopy performs comparably to conventional videolaryngoscopy while potentially improving success rates and user experience.
Detailed description
Artificial intelligence is increasingly being applied in clinical medicine, including airway management. Machine vision algorithms have recently been developed to recognize airway anatomy and provide guidance during endotracheal intubation.
LarynGuide is an AI-based system designed to guide endotracheal tube placement using real-time visual prompts during videolaryngoscopy. This study aims to evaluate whether AI-assisted intubation is equivalent to conventional videolaryngoscopy in terms of time required for intubation and whether AI guidance improves success rates or usability.
This prospective randomized controlled simulation trial will recruit healthcare providers with varying levels of airway management experience. Participants will receive a short training session with the AI system and then will be randomized to perform intubations using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy.
Each participant will perform intubations on both pediatric and neonatal airway mannequins in a simulation setting. Outcomes including intubation time, success rate, number of attempts, POGO score, gaze tracking metrics, and user satisfaction will be collected.
The study will be conducted at the Hospital for Sick Children Simulation Centre in Toronto, Canada.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Participants will be randomized to perform simulated endotracheal intubation using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy. Each participant will perform intubation on both child and neonatal mannequins
| Arm | Type | Receives |
|---|---|---|
| AI-assisted videolaryngoscopy | Experimental | Other: AI-assisted videolaryngoscopyParticipants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system |
| Conventional videolaryngoscopy | Active comparator | Other: Conventional IntubationParticipants perform simulated endotracheal intubation using standard videolaryngoscopy without AI assistance. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Any healthcare worker or trainee
Key exclusion criteria (1 listed)
- refusal to participate
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-assisted videolaryngoscopyParticipants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system | Other | AI-assisted videolaryngoscopy |
| Conventional IntubationTraditional intubation | Other | Conventional videolaryngoscopy |
Primary outcome
Time required for intubation
Time frame: baseline, pre-intervention/procedure/surgery
2 secondary outcomes
First-attempt success rate
Time frame: baseline, pre-intervention/procedure/surgery
POGO score
Time frame: baseline, pre-intervention/procedure/surgery
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Jul 2026.
- Background: PubMed 39149736Nemani S, Goyal S, Sharma A, Kothari N. Artificial intelligence in pediatric airway - A scoping review. Saudi J Anaesth. 2024 Jul-Sep;18(3):410-416. doi: 10.4103/sja.sja_110_24. Epub 2024 Jun 4.
- Background: PubMed 31845543Matava C, Pankiv E, Ahumada L, Weingarten B, Simpao A. Artificial intelligence, machine learning and the pediatric airway. Paediatr Anaesth. 2020 Mar;30(3):264-268. doi: 10.1111/pan.13792. Epub 2020 Jan 2.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-assisted videolaryngoscopy and Conventional Intubation in people with Intubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin, run by The Hospital for Sick Children at 1 site in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 22 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Time required for intubation (time frame: baseline, pre-intervention/procedure/surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07508826, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Jul 2026.