Artificial intelligence (AI) is revolutionizing medicine, with the global healthcare AI market projected to reach $45 billion by 2026 [1]. This unprecedented growth is transforming cosmetic dermatology, offering unparalleled precision, efficiency, and personalization in injectable treatments. The potential for AI to revolutionize injectables spans from data-driven decision-making to groundbreaking research applications, enabling a new era of innovation in aesthetic medicine [2, 3]. This chapter explores the intersection of AI and injectables, focusing on personalized care, precision diagnostics, streamlined treatment processes, post-treatment monitoring, and ethical frameworks to ensure safe and effective adoption in clinical practice. Injectables have long been a cornerstone of cosmetic dermatology, with demand growing exponentially over the past decade. This demand, coupled with the increasing complexity of aesthetic procedures, has necessitated the adoption of advanced tools and methodologies to optimize results [4]. AI has emerged as a game changer in this regard, offering the ability to analyze vast datasets, predict outcomes with remarkable accuracy, and guide clinicians with real-time feedback. Beyond its technical capabilities, AI also holds the promise of democratizing access to high-quality aesthetic care, reducing variability in outcomes, and fostering a more patient-centric approach [2].

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Artificial Intelligence and Injectables in Cosmetic Dermatology

  • Diala Haykal,
  • Won Lee

摘要

Artificial intelligence (AI) is revolutionizing medicine, with the global healthcare AI market projected to reach $45 billion by 2026 [1]. This unprecedented growth is transforming cosmetic dermatology, offering unparalleled precision, efficiency, and personalization in injectable treatments. The potential for AI to revolutionize injectables spans from data-driven decision-making to groundbreaking research applications, enabling a new era of innovation in aesthetic medicine [2, 3]. This chapter explores the intersection of AI and injectables, focusing on personalized care, precision diagnostics, streamlined treatment processes, post-treatment monitoring, and ethical frameworks to ensure safe and effective adoption in clinical practice. Injectables have long been a cornerstone of cosmetic dermatology, with demand growing exponentially over the past decade. This demand, coupled with the increasing complexity of aesthetic procedures, has necessitated the adoption of advanced tools and methodologies to optimize results [4]. AI has emerged as a game changer in this regard, offering the ability to analyze vast datasets, predict outcomes with remarkable accuracy, and guide clinicians with real-time feedback. Beyond its technical capabilities, AI also holds the promise of democratizing access to high-quality aesthetic care, reducing variability in outcomes, and fostering a more patient-centric approach [2].