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Effect of Artificial Intelligence-based Feedback on Long-Term Learning of Surgical Suturing: A Randomized Controlled Trial

Effect of Artificial Intelligence-based Feedback on Long-Term Learning of Surgical Suturing: A Randomized Controlled Trial - AI-suture study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
DRKS
Registry ID
DRKS00033524
Enrollment
80
Registered
2024-04-23
Start date
2024-05-02
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Influence of the learning modality (AI feedback/tutor feedback) on the suture quality of students

Interventions

Group 1: AI feedback (a surgical suturing course with 3 course units of 1 hour training each, with AI feedback to the students in between) Group 2: Tutor feedback (a surgical suturing course with 3 co

Sponsors

Klinik für Mund-, Kiefer- und Gesichtschirurgie, Uniklinik RWTH Aachen
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Medical and dental students at RWTH Aachen University Minimum age 18 years Informed consent to participate

Exclusion criteria

Exclusion criteria: Refusal of participation Previous experience in surgical suturing

Design outcomes

Primary

MeasureTime frame
Is there a difference between the two learning modalities (AI feedback/tutor feedback) when learning the surgical suture (measured using the OSATS)?

Secondary

MeasureTime frame
- Does feedback in general (tutor/AI) have a positive influence on the learning curve over a longer period of time (3 practice sessions)? - What is the specific impact of AI feedback on learning experience and confidence compared to conventional feedback from a tutor (measured on a 5-point Likert scale)? - What influence does the number of sutures performed over a period of 3 practice sessions have on the suturing quality?

Countries

Germany

Contacts

Public ContactBehrus Puladi

Klinik für Mund-, Kiefer- und Gesichtschirurgie & Institut für Medizinische Informatik, Uniklinik RWTH Aachen

bpuladi@ukaachen.de+49 241 80 38389

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026