AI isn’t new. It writes emails, plans vacations, and supposedly comforts the lonely. Now it is in the dermatology clinic. Specifically the cosmetic ones.
We know AI is good at spotting cancer. It matches moles against huge databases. It gets it right ninety percent of the time. But the real shift is happening in aesthetics. Doctors are using it to educate patients, refine treatments, and keep procedures safer.
“I think a lot of people don’t realise how deep it is,” says Michelle Henry MD. She runs Skin & Aesthetic Surgery of Manhattan. “It is at so many touch points.”
Here is what is actually happening behind the closed doors.
The Consultation Gets A Upgrade
The tech often starts before you even meet the doctor. At Dr. Henry’s office patients scan their faces in the waiting room.
She uses tools from QuantifiCare and Canfield Scientific they are essentially cameras with smart software. The system counts sun damage. It maps redness. It measures pore size. It highlights what the doctor already sees.
“It helps drive home the point,” Henry says. She can show a patient their enlarged pores then say. “A resurfacing laser will fix that.”
David Goldberg MD notes something else. The eye can’t see early sun damage. AI can. This lets doctors treat problems before age spots appear.
Then there is Ponce AI. It lives on phones. It scans skin and suggests treatments.
Daniel Schlessinger MD adds a visual element. Post-treatment modeling shows patients what they might look like with fillers or a nose job. “Surgeons can show different shapes,” he says. It removes the guess work for everyone involved.
The data gives patients confidence. They chew on it before the appointment. The friction disappears.
Questions Answered Instantly
Ever leave an office and forget a question?
AI avatars are solving this.
Dr. Shamban wants to guide patients through healing with a digital twin of herself. No emails needed. Just an answer.
Henry has already done this. Scan a QR code get a video. If she prescribes a retinoid the avatar—voice and look cloned from her—explains how to use it.
“My mother couldn’t tell it was an avatar,” Henry says. Filming real videos would bankrupt the office. Cloning her voice keeps the education flowing.
Lasers With A Brain
The tech gets harder in the procedure room.
Old ways were risky. A doctor sets a laser. Fires. Waits. Asks: “Should I fire again or burn them?” It was archaic. Guesswork.
Now AI reads the tissue. It adjusts the energy in real time.
Take Intense Pulsed Light (IPL). It treats spots and veins. It is dangerous on darker skin. The light can hit melanin instead of the blood vessel. That causes hyperpigmentation or scars.
Sciton built this into the BBL HEROic.
Dr. Schlessinger uses it. The AI calculates exactly how many pulses are safe. It tracks the hand motion. It ensures the pulses land evenly next to each other. No gaps. No stripes.
“It senses exactly where it has been,” Ava Shamban MD adds. A human could be this precise but only by going extremely slow. AI automates the safety.
Tracking The Thin Hair
It works on the scalp too.
Hair loss is emotional. Waiting six months to a year for minoxidil to work is agonising. You feel like it is doing nothing.
Dr. Henry uses HairMetrix.
It analyzes high-res images of the scalp. It counts hairs. It measures thickness. Even if you can’t see a difference the data shows the hair caliber is increasing.
“It is a win,” Henry says. Patients stay with the treatment because the numbers prove it works.
The Flaw In The Data
Here is the catch.
AI is not perfect. It is biased.
Roxana Daneshjou MD teaches at Stanford. She points out that AI models learn from existing data. That data is mostly white skin. Textbooks are too. Research is too.
“Trash in trash out,” Henry says. If the training set is bad the diagnosis is bad.
This matters for darker skin tones. The models simply do not recognize how disease or cosmetic issues look there. The Society of Skin of Color is trying to fix this. Researchers are diversifying trials.
But it is slow work. Until the datasets represent everyone these tools will have blind spots.
Doctor Still On Duty
AI will not replace the doctor.
It cannot decide which device is safe. It cannot judge skin type nuance. It supports the decision it does not make it.
We are seeing the benefits. The tools are evolving. We have to evolve with them.
