Detecting body dysmorphic disorder in the age of algorithms

Area of Science:

• Aesthetic Medicine
• Psychiatry
• Artificial Intelligence

Background:

• Body Dysmorphic Disorder (BDD) is prevalent and underdiagnosed in aesthetic practices.
• BDD presents ethical and clinical challenges for aesthetic providers.
• Identifying at-risk individuals and prioritizing psychological well-being are critical.

Purpose of the Study:

• To discuss the role of Artificial Intelligence (AI) in detecting Body Dysmorphic Disorder (BDD) in aesthetic medicine.
• To explore the opportunities, limitations, and ethical considerations of using AI for BDD screening.
• To promote responsible AI integration for improved patient outcomes and ethical practice.

Main Methods:

• Commentary discussing the application of AI in identifying BDD.
• Analysis of AI's capacity for behavioral pattern analysis and screening automation.
• Examination of ethical considerations including bias, privacy, and fairness.

Main Results:

• AI can potentially enhance BDD recognition through behavioral analysis and automated screening.
• Responsible AI integration requires addressing biases, ensuring privacy, and maintaining fairness.
• AI should support ethical decision-making, not accelerate procedures.

Conclusions:

• AI offers a new frontier for managing BDD in aesthetic settings.
• Responsible AI implementation is key to enhancing BDD detection while safeguarding patient trust and psychological safety.
• Clinician oversight, transparency, and data protection are essential for ethical AI use in aesthetic medicine.