PERSPECTIVE article
Front. Artif. Intell.
Sec. Medicine and Public Health
This article is part of the Research TopicHealth Data Science and AI in Neuroscience & PsychologyView all 6 articles
Detecting Body Dysmorphic Disorder in the Age of Algorithms
Provisionally accepted
DIALA HAYKAL1*
George Kroumpouzos2- 1Centre Médical Laser Palaiseau, Palaiseau, France
- 2GK Dermatology PC, South Weymouth, Massachusetts, United States
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Body Dysmorphic Disorder (BDD) is increasingly recognized in the aesthetic practice, yet it remains underdiagnosed and often misunderstood. With its high prevalence, particularly in cosmetic consultations, BDD poses significant ethical and clinical challenges. Aesthetic providers must be vigilant in identifying at-risk individuals and prioritizing psychological well-being alongside procedural outcomes. Artificial Intelligence (AI), with its capacity to analyze behavioral patterns, automate screening tools, and detect subtle indicators of cognitive distortion, presents a new frontier in managing BDD. However, integrating AI into clinical practice requires caution to prevent reinforcing appearance-focused biases and to ensure privacy and fairness. This commentary discusses the opportunities, limitations, and ethical considerations of leveraging AI to assist clinicians in detecting BDD, fostering safer patient outcomes, and advancing the compassionate practice of aesthetic medicine. AI should not accelerate aesthetic procedures but promote reflective, ethically sound decision-making. When integrated responsibly, it can enhance recognition of BDD, support psychological safety, and preserve patient trust through transparency, data protection, and clinician oversight.
Keywords: body dysmorphic disorder, body dysmorphia, artificial intelligence, Artificial intelligence algorithm, machine learning, aesthetic, aesthetic medicine, Aesthetic Surgery
Received: 01 Oct 2025; Accepted: 14 Nov 2025.
Copyright: © 2025 HAYKAL and Kroumpouzos. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: DIALA HAYKAL, docteur.haykal@gmail.com
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