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AI to revolutionise hair loss diagnosis and treatment, say experts

Our Bureau, New Delhi
Friday, January 10, 2025, 16:20 Hrs  [IST]

The integration of AI marks a significant leap in diagnosing complex hair loss conditions, personalizing treatments, and offering predictive insights that foster better patient adherence and satisfaction, said experts in the field.
 
The remark was in 'Hair Talks', a flagship initiative by Global Cosmetic Surgery, an international platform dedicated to advancing cosmetic surgery. The event witnessed insightful sessions featuring global leaders in dermatology and trichology to discuss the transformative role of AI in hair loss diagnosis and treatment.
 
The session highlighted how AI’s precision-driven advancements are not only enhancing clinical outcomes but also reshaping the patient experience in hair restoration.
 
In the keynote address, Arshan Ommid, founder and CEO of Dermose, California emphasized on the groundbreaking potential of AI in trichology.
 
"AI has the unprecedented ability to analyse the complexities of hair loss—from genetic predispositions to lifestyle factors—creating a holistic diagnostic framework. This precision equips clinicians to design truly tailored treatments, giving patients confidence in both the process and the outcome,” said Ommid.
 
He highlighted how AI tools like computer vision and big data analytics are revolutionizing the management of chronic conditions, enabling clinicians to automate the detection of hair loss biomarkers and integrate comprehensive lab results with trichoscopic data. These advancements drastically reduce diagnostic times while improving accuracy, allowing patients to begin effective treatments sooner.
 
Dr Garima Balpande, MD dermatology, venereology & leprosy; consultant at The Skin Ethos, Chhattisgarh said, “AI empowers us to revolutionize hair loss diagnosis by providing real-time visual feedback and personalized insights. It encourages patient compliance by integrating behavioural nudges and monitoring tools, enabling better adherence and ultimately enhancing treatment outcomes.”
 
The experts agreed that AI is addressing longstanding challenges in hair loss management by streamlining the diagnostic and prognostic process.
 
Traditional diagnostic approaches often rely on subjective interpretations and invasive procedures like biopsies. AI-powered tools now offer objective, quantifiable insights into hair loss patterns, improving early detection and long-term management.
 
Dr Harsimran Kaur, dermatologist and aesthetic dermatologist at Kaya Clinic, Delhi, elaborated on this transformative potential, "AI bridges the gap between complexity and clarity in hair loss diagnosis. It provides granular insights that were previously invisible to the human eye, from detecting early-stage hair thinning to predicting treatment efficacy. With AI, we can offer patients not only hope but also measurable outcomes backed by science."
 
The discussion also highlighted AI’s role in empowering patients by enhancing compliance and offering visual feedback. Real-time scalp imaging, progress tracking, and personalized treatment reminders encourage patients to adhere to their regimens and stay motivated throughout their treatment journey.
 
Dr Michael Gold, a globally renowned dermatologist and moderator of the session, stressed the emotional impact of AI-driven care, "For patients, hair loss is more than a medical condition—it’s deeply tied to identity and self-esteem. AI allows us to offer precision-driven hope. By combining advanced diagnostics with personalized care pathways, we are setting new standards for trust and efficacy in hair restoration."
 
AI’s applications in trichology go beyond diagnostics. Predictive algorithms are increasingly being used to determine a patient’s responsiveness to treatments like minoxidil, saving time and resources. Emerging technologies, such as AI-enhanced microneedling protocols and personalized therapeutic combinations, promise to redefine treatment outcomes.
 
The session also explored exciting prospects like integrating AI with gene-editing technologies and bioengineered solutions such as biomimetic polypeptides and exosomal therapies, paving the way for groundbreaking innovations in non-surgical hair restoration.

 

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