I had a chance to learn more in this interview with Dr. Keith Kantor, PhD, ND, Trichologist, Clinical Director of Regen Therapeutics and a leading trichologist specializing in hair loss and scalp health.
Dr. Kantor says AI can be a useful educational tool, but it should never replace a professional evaluation. Hair loss is often far more complex than people realize and may be the first warning sign of underlying medical conditions including thyroid disorders, nutritional deficiencies, hormonal imbalances, autoimmune diseases, chronic stress, or medication side effects. Without proper testing and examination, people risk delaying treatment or spending hundreds - even thousands - of dollars on products that won't address the real cause.
How accurate is ChatGPT at identifying reasons for hair loss?
I jokingly call ChatGPT “my little genius,” because it has become a valuable tool in my practice. Every day I review patient intake forms, and when I see a medication I'm not familiar with, I ask ChatGPT whether it has any known association with hair loss or hair growth. It has consistently been remarkably accurate and saves me a tremendous amount of research time.
That said, ChatGPT is only as good as the information it receives. It can recognize patterns, summarize research, and identify common causes of hair loss, but it cannot examine a patient's scalp, perform blood tests, or make a medical diagnosis. I use it as an educational resource and research assistant—not as a replacement for clinical judgment.
What are some of the biggest mistakes people make when using AI for medical advice?
The biggest mistake is believing AI has diagnosed them. AI provides possibilities, not certainty. Hair loss has many causes that can look almost identical, yet require very different treatments. Another mistake is leaving out important information, such as medications, recent illnesses, rapid weight loss, hormonal changes, or family history. Finally, some people delay seeing a healthcare professional because an AI answer sounds reassuring. That can delay treatment for conditions that are much easier to manage when caught early.
How can AI be used in beneficial ways for medical questions?
I think AI shines as an educational partner. It helps patients understand complicated medical information in plain English, prepares them to ask better questions during appointments, and allows healthcare professionals to quickly review the latest information on medications, supplements, and medical conditions. Used correctly, AI makes both patients and clinicians better informed.
What are some myths about hair restoration that people may encounter on social media?
Social media often promotes 'miracle cures' that supposedly work for everyone. In reality, successful hair restoration starts with identifying the correct cause. Another myth is that every case of hair loss is caused by DHT. While DHT is important in hereditary hair loss, other conditions—including autoimmune disorders, nutritional deficiencies, hormonal changes, scarring alopecias, and medication side effects—require completely different approaches. Be cautious of dramatic before-and-after photos that don't explain the diagnosis or the treatment timeline.
When might hair loss be a symptom of something that requires immediate attention?
Hair loss deserves prompt medical evaluation if it appears suddenly in patches, is associated with pain, redness, drainage, or scarring, or is accompanied by symptoms such as unexplained weight changes, severe fatigue, fever, or other signs of illness. Hair loss itself is rarely an emergency, but sometimes it is the first visible clue that something more significant is occurring. Early diagnosis can also prevent permanent follicle damage in certain types of hair loss.
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