RhinoplastyNCT07580573
AI in Assessing Aesthetic Outcomes in Rhinoplasty
A study testing AI in people with Rhinoplasty and AI (Artificial Intelligence), run by Assiut University.
Trial summary
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 Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Rhinoplasty, AI (Artificial Intelligence)
- What is being tested?
- AI
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 20 participants
- Where
- No sites listed yet
- Study dates
- 1 Jun 2026to 1 Jul 2027
- Phase
- Interventional
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 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Patients age> 18 years old.
- patients schedule for rhinoplasty surgery
Who cannot join
- Pervious nasal trauma that affect anatomical land mark
- pervious nasal surgery (rhinoplasty or others)
- patients with psychological disorders.
- patients with any coagulopathy disorders
About this study
Official title: Use of Artificial Intelligence in Assessment of Aesthetic Outcomes in Rhinoplasty
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
Read the detailed description
Rhinoplasty is a surgical procedure that aims to enhance nasal aesthetics while preserving structural integrity and function. It focuses on minimizing tissue disruption through techniques such as cartilage reshaping, selective preservation, and grafting to maintain support. The primary goal is to achieve natural-looking outcomes while ensuring adequate nasal breathing and reducing postoperative complications.
Despite its widespread application, rhinoplasty remains one of the most complex procedures in aesthetic surgery due to the variability in individual anatomy and patient expectations. Conventional standardized approaches often fail to fully address these differences. Subjective assessment tools, including patient-reported outcome measures, provide insight into satisfaction with aesthetic and functional results; however, they are limited by lack of objectivity. Zojaji et al. demonstrated no strong correlation between objective facial proportion changes and Rhinoplasty Outcome Evaluation (ROE) scores, emphasizing the discrepancy between perceived and measured outcomes.
Recent advances in artificial intelligence (AI) have introduced innovative solutions to these challenges. AI-driven simulations enable the generation of realistic preoperative predictions, thereby improving surgical planning and patient communication.Furthermore, AI-based image analysis applications allow for precise and automated measurement of nasal parameters, including linear distances, angles, proportions, and symmetry, using standardized digital photographs. These tools provide objective and reproducible data, reduce observer variability, and enhance the accuracy of postoperative outcome assessment.
- Conditions
- Rhinoplasty, AI (Artificial Intelligence)
- Being tested
- AI
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AIOther
using AI-driven simulations which enable the generation of realistic preoperative predictions, thereby improving surgical planning and patient communication.
| Study group | Role | What they receive |
|---|---|---|
| AI-Based Assessment | Other | Not described Receives: Other: AI |
What is being measured
The primary outcome is the main question the study is designed to answer.
Agreement between ImageJ and AI application measurements
Measured: basline
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
Measured: basline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 May 2026
- Study start1 Jun 2026 (estimated)
- Primary completion1 Jun 2027 (estimated)
- Study completion1 Jul 2027 (estimated)
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 RhinoplastyStudies of the same condition, open and under way.
- More trials run by Assiut UniversityThe sponsor's other registered studies.
- 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
- Screening
- Allocation
- Randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 20 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Assiut University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Menntallah ahmad kamal ahmad, Assiut University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07580573
- Sponsor's protocol ID
- UAIAAOR
- Status last verified
- May 2026
- First submitted
- 21 Apr 2026
- Last updated
- 12 May 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Omer G, Girolamo S, Hamatofiq B, Tofiq S, Mohammed MA, Abdulkarim D, Mohammed S, Gubari M, Habibullah I, Mustafa A, Fatah M, Ahmed S, Kakamad F. Functional, Cosmetic, and Psychological Outcomes after Rhinoplasty. Plast Reconstr Surg Glob Open. 2024 Aug 16;12(8):e6057. doi: 10.1097/GOX.0000000000006057. eCollection 2024 Aug.
PubMed 39157708Zhao R, Chen K, Tang Y. Effects of Functional Rhinoplasty on Nasal Obstruction: A Meta-Analysis. Aesthetic Plast Surg. 2022 Apr;46(2):873-885. doi: 10.1007/s00266-021-02741-2. Epub 2022 Jan 31.
PubMed 35099579