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What AI Can Do Now (and What’s Coming Soon)

1. More Precise Skin Analysis & Diagnostics
AI image‑analysis tools are improving diagnostic accuracy for skin conditions — including inflammatory diseases, acne, and skin cancers — sometimes matching or even surpassing human diagnostic rates in controlled studies.
Even for routine cosmetic or preventative dermatology, AI can help identify subtle changes over time, predict risk of pigmentation or aging, and suggest customized interventions.

2. Personalized Home Skincare Recommendations
Instead of one‑size‑fits-all routines, AI can analyze skin state via smartphone selfies — measuring moisture, pigmentation, texture — and then recommend personalized regimens. This includes choosing the best cleansers, serums, sunscreens, and active ingredients tailored to an individual’s skin needs.
Think of it like a “smart mirror + dermatologist assistant” that helps you adjust your routine as your skin changes.

3. Monitoring Progress & Adjusting Treatments in Real Time
AI enables tracking of skin over time — e.g., before/after cosmetic procedures, laser, or microneedling — to objectively assess results and guide follow-up treatments. This helps optimize frequency and type of treatments, maximizing results and minimizing side effects. PMC+2The Open Dermatology Journal+2

4. Greater Efficiency & Access via Teledermatology + AI Support
AI-assisted triage tools and image analysis can help dermatology practices manage workloads, prioritize urgent skin cancer screenings, and extend access to care — especially in busy regions or for patients with limited mobility. BAD Patient Hub+2The Open Dermatology Journal+2

What This Means for Patients at Foxhall Dermatology

At Foxhall Dermatology, we’re excited about integrating these AI advancements into our practice — to give you:

What AI Is Not (Yet): Why Human Dermatology Still Matters

Despite rapid progress, AI has limitations — especially with underrepresented skin tones and rare skin conditions. Some studies found decreased accuracy in diagnosing skin lesions on darker skin when AI models weren’t trained on diverse datasets. arXiv+2JAMA Network+2
That’s why at Foxhall Dermatology, all AI-generated analyses are reviewed and interpreted by board-certified dermatologists — including Drs. Stephen Suah and Raina Bembry — to ensure safe, equitable, and appropriate care.

How You Can Benefit — If You’re a Patient

If you’re curious about personalized dermatology powered by AI, here are a few ways you can get started with us:

 

 

Author
Stephen Suah, MD, MS Stephen Suah, MD, MS is a board-certified dermatologist and the owner of Foxhall Dermatology, a premier medical, surgical, and cosmetic dermatology practice in Washington, DC.

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