Expectations and Experienced Outcomes Regarding Gender-Affirming Surgeries: A Pilot Study

Impact of Artificial Intelligence (AI) Image Enhancing Filters on Patient Expectations for Plastic Surgery Outcomes

BACKGROUND

Artificial intelligence (AI) technologies use a three-part strategy for facial visual enhancement: (1) Facial Detection, (2) Facial Landmark Detection, and (3) Filter Application (Chen in Arch Fac Plast Surg 21:361-367, 2019). In the context of the surgical patient population, open-source AI algorithms are capable of modifying or simulating images to present potential results of plastic surgery procedures. Our primary aim was to understand whether AI filter use may influence individuals' perceptions and expectations of post-surgical outcomes.

METHODS

We utilized Amazon's Mechanical Turk platform and collected information on prior experience using AI-driven visual enhancement. The cohort was divided into two groups: AI-exposed and non-AI-exposed. Questions gauged confidence in plastic surgery's ability to meet participant expectations. A second survey exposed users to either AI-enhanced or to unenhanced pre-operative photographs. Then, unedited post-operative photographs were shown and surgery's ability to enhance appearance was assessed. A multivariable linear analysis was constructed to measure associations between exposure to AI enhancement and survey outcomes.

RESULTS

A total of 426 responses were analysed: 66.9% with AI exposure and 33.1% with no prior exposure. Participants with previous experience using AI-driven enhancers had a significantly higher average score for expectations after plastic surgery (P < 0.001). This finding was true across all outcomes, including surgery's ability to relieve discomfort with appearance/self-esteem (P < 0.001), to avoid post-operative complications (P < 0.001), to decrease post-operative scarring (P < 0.001), and to improve overall appearance (P < 0.001). The image comparison survey revealed that post-operative images were viewed as more successful at improving appearance when no pre-operative filter was applied (P = 0.151).

CONCLUSION

Exposure to AI photograph enhancement may significantly raise expectations for plastic surgery outcomes and may predispose to having lower satisfaction after surgery. The significance of this study lies in its potential to reveal the extent to which AI technologies can shape patient understanding of their plastic surgery outcomes. Plastic surgeons aware of the effect of AI enhancement may consider using these results to guide counselling.

LEVEL OF EVIDENCE III

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Trans, gender non-conforming and non-binary individuals' perspectives on experienced sexuality during medical transition

How gender-affirming treatments (GAT) influence the experienced sexuality of transgender, gender non-conforming, and non-binary (TGNB) individuals remains understudied. The aim of this research was to discern factors contributing to a satisfying sexual experience for TGNB individuals, explore the influence of GAT on this process, and identify potential areas for improvement in transition-related care. We conducted interviews with 21 participants at various stages of GAT. Participants identified as (trans)men (12), (trans)women (7), transgender (1), and genderqueer/gender non-conforming/non-binary (1). Thematic analysis was conducted and involved multiple researchers. Three themes emerged from the data: (i) the role sexuality plays in understanding and affirming one's gender, (ii) satisfaction with one's physical sexual function, (iii) positive communication about sex and its subsequent influence on relationships. Many participants associated satisfaction with physical sexual function with positive sexual experiences, often describing GAT-induced changes in sexual arousal, drive, and orgasm as gender-affirming. Emotional connection and affirmation from sexual partners also contributed to positive experiences. The ability to (re-)define what sex meant individually increased satisfaction levels. Moreover, understanding and affirming one's gender identity were closely related to a satisfactory sex life. This study offers valuable insights for healthcare providers working with TGNB individuals during GAT, particularly concerning their sexuality.

Voices from a Multidisciplinary Healthcare Center: Understanding Barriers in Gender-Affirming Care-A Qualitative Exploration

When seeking gender-affirming care, trans* and gender-diverse individuals often describe experiencing barriers. However, a deeper understanding of what constitutes such barriers is generally lacking. The present research sought to better understand the barriers trans* and gender-diverse individuals experienced, and their effects, when seeking gender-affirming care in the Netherlands. Qualitative interviews were conducted with trans* and gender-diverse individuals who sought care at a Dutch multidisciplinary medical center. Twenty-one participants were included, of which 12 identified as (trans) male, six identified as (trans) female, one as trans*, and one as gender-nonconforming (GNC)/non-binary. The interviews were mostly conducted at the homes of the participants and lasted between 55 min and 156 min (mean = 85 min). Following data collection and transcription, the interviews were analyzed using axial coding and thematic analysis. A total of 1361 codes were extracted, which could be classified into four themes describing barriers: lack of continuity: organizational and institutional factors (n_codes = 546), patient-staff dynamics (n_codes = 480), inadequate information and support (n_codes = 210), and lack of autonomy in decision making (n_codes = 125). Within our study, trans* and gender-diverse individuals described encountering multiple and diverse barriers when seeking gender-affirming care in the Netherlands. Future studies are needed to evaluate whether individualized care, the decentralization of care, and the use of decision aids can improve the experienced barriers of trans* and gender-diverse individuals seeking gender-affirming care within the Dutch healthcare system.