Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures

Area of Science:

• Medical technology
• Artificial intelligence in medicine
• Plastic surgery

Background:

• Patient comprehension of cosmetic surgery outcomes can be challenging.
• Effective preoperative counseling is crucial for managing patient expectations.

Purpose of the Study:

• To explore the efficacy of text-to-image AI models in improving preoperative counseling for lip-lift patients.
• To assess the accuracy and speed of AI-generated visual predictions.

Main Methods:

• Utilized DALL·E2, a text-to-image AI model, to process preoperative photographs of four consenting patients.
• Employed DALL·E2's image modification and text-based input features to visualize anticipated surgical changes.
• Generated visual predictions within a rapid timeframe.

Main Results:

• DALL·E2 successfully generated accurate visual predictions of postoperative appearance.
• The AI model produced realistic visual forecasts within approximately 2 minutes.
• Generated images aided in patient understanding and expectation management.

Conclusions:

• Text-to-image AI models are a promising tool for enhancing patient comprehension of cosmetic surgery results.
• AI-powered visual forecasts can significantly improve preoperative counseling and patient satisfaction.
• The study demonstrates the practical application of AI in personalizing cosmetic surgery consultations.