AI in Assessing Aesthetic Outcomes in Rhinoplasty
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorAssiut University
About this trial
This study aims to thoroughly assess the predictive accuracy of artificial intelligence-based nasal outcome simulations by comparing AI-generated preoperative predictions with objective postoperative nasal morphology using digital image analysis.
To assess accuracy of AI-image measurement compared with imageJ software
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients age> 18 years old.
patients schedule for rhinoplasty surgery
Disqualifiers
Pervious nasal trauma that affect anatomical land mark
pervious nasal surgery (rhinoplasty or others)
patients with psychological disorders.
patients with any coagulopathy disorders
Trial design
Design model
Single group
Treatments tested in this trial
AI
Other interventionusing AI-driven simulations which enable the generation of realistic preoperative predictions, thereby improving surgical planning and patient communication.
Treatment groups
20 Participants
are divided into 1 treatment groupGroup A: AI-Based AssessmentOther 1 intervention
Trial outcomes
Primary outcomes
1
Agreement between ImageJ and AI application measurements
Time frame
basline2
Evaluate the accuracy of AI-based simulation in predicting postoperative aesthetic outcomes following structural rhinoplasty by comparing AI-generated preoperative simulations with actual postoperative nasal morphology using objective digital image a
Time frame
baslineLocations
Sponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: