Artificial Intelligence as the New Backbone of Aesthetic Practice in India: A Comprehensive, Fully Referenced Industry Whitepaper

Nandan Gijare, Dr Manali Padhye

Abstract: Artificial Intelligence has quietly worked its way into everyday aesthetic practice in India. What began as a novelty mostly confined to skin scanners and consumer apps- has now spread into diagnosis, treatment planning, procedural safety, patient counselling, and even clinic operations. This shift carries particular weight in the Indian setting, where Fitzpatrick skin types III?VI dominate, pigmentary disorders remain difficult to judge by eye alone, and patients increasingly ask for numbers, visuals, and forecasts rather than opinions. This paper looks closely at how AI is being used across Indian aesthetic medicine today, covering skin and hair diagnostics, laser and energy-based treatments, injectables, three-dimensional simulation, robotics, and clinic management systems. It also examines how clinics and organized chains are weaving AI into their workflows to stay competitive, often using it as a signal of credibility rather than spectacle. Drawing on Indian industry coverage and market activity, the paper traces why adoption has accelerated so quickly, what clinics gain by moving early, and what risks emerge when adoption is delayed. It closes by mapping how AI usage is likely to unfold over the next twelve months, arguing that AI has shifted from optional add-on to structural backbone for aesthetic practice in India.

Keywords: Artificial Intelligence, Aesthetic Medicine, Dermatology, Skin Analysis, Hair Transplantation, Laser Aesthetics, Injectables, Clinic Automation, Indian Healthcare, Digital Health

How to Cite?: Nandan Gijare, Dr Manali Padhye, "Artificial Intelligence as the New Backbone of Aesthetic Practice in India: A Comprehensive, Fully Referenced Industry Whitepaper", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 67-69, https://www.ijsr.net/getabstract.php?paperid=SR251231195211, DOI: https://dx.doi.org/10.21275/SR251231195211