Patient experience of facial plastic surgery

Facial plastic surgery is a multibillion dollar industry in North America. Most surgeries are performed for cosmetic reasons, driven by patient goals. 63% of facial plastic surgeons use software to help people visualize possible surgical results. Deep Surface AI is developing a novel visualization software to help surgeons and patients decide on surgical goals. Deep Surface AI is particularly interested in patient experiences of rhinoplasty and gender-affirming facial surgery. Rhinoplasty (nose re-shaping) is the most common procedure, performed by 99% of facial plastic surgeons. Patients typically want rhinoplasty for cosmetic reasons and outcomes are aesthetically driven. In contrast, gender-affirming facial surgery (GFS) is an emerging field that may help transgender patients to socially affirm their identity. Transgender persons face significant socioeconomic challenges and their reasons for surgery are drastically different than the rhinoplasty patient. GFS outcomes and goals are complex to visualize for both surgeons and patients. Deep Surface AI’s software product has the potential to improve the experience.
The proposed project will gather insights on patient journeys. Data will be collected through existing online websites and social media where patients have publicly shared their experiences.

Faculty Supervisor:

Joseph Ferenbok

Student:

Partner:

Deep Surface AI

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: