More patients are arriving at consultations having spent time on ChatGPT or similar AI platforms researching treatments and providers. In some cases, AI pointed them here. As a research starting point, that’s genuinely useful.
But a starting point is exactly what it should be. Dr. Sheena Kong, a board-certified, Harvard-trained Internal Medicine physician with extensive experience in minimally invasive aesthetic medicine, is seeing more patients in their 20s, 30s, and 40s arrive at consultations having already done substantial AI research. That preparation can make for a more productive appointment, but it can also push them in the wrong direction. This blog explores what these tools genuinely offer and where they fall short.
What AI Can Help You Do
There are genuine uses for AI in the early stages of aesthetic research. Before a consultation, AI tools may help patients:
- Understand terminology, such as the difference between BOTOX and Dysport, or Ultherapy vs. Thermage FLX
- Get a general sense of which treatment categories address a specific concern
- Develop questions to bring to their appointment
- Discover practices and providers in their area
Used well, it’s a genuine head start. The trouble is that AI doesn’t always get it right, and in aesthetic medicine, a wrong recommendation isn’t easy to walk back.
What AI Doesn’t Know About You
AI systems synthesize information that already exists online, and that information isn’t always current or complete. They don’t examine your skin or take into account your medical history and prior treatments. Two patients with the same concern (early jowling, for example) may have entirely different underlying causes. One may benefit most from skin tightening to rebuild collagen; another may need targeted volume replacement. A recommendation that’s right for one patient can be the wrong call for the other.
Dr. Kong approaches every consultation with exactly this kind of individualized assessment. She considers the full picture: how volume loss, skin laxity, structural changes, and lifestyle factors have combined over time. That specificity is what separates an effective treatment plan from a generic one.
The Problem with Assumptions
Here’s what patients rarely consider: before an AI makes a recommendation, it’s already built a profile of you. Search behavior, browsing patterns, signals about your budget. A patient who’s been comparing providers on price may get steered toward lower-cost options, not because it’s the right clinical match, but because the data pointed that way. An in-person physician doesn’t work from those inputs; the recommendation is based on the patient in the room.
At Dr. Kong’s practice, every consultation includes a VISIA complexion analysis, a medical imaging system that objectively measures pore size, skin texture, UV exposure, brown spots, and redness. That baseline gives both patient and physician a documented starting point before any treatment begins. That kind of objective, in-person assessment is something no AI recommendation can substitute for.
Ready for a Real Assessment? Dr. Sheena Kong, MD
Dr. Kong’s commitment to patient education sits at the core of her practice. She believes understanding your aging process and what your skin actually needs is what delivers lasting results. If you’re ready to move from AI research to a real conversation with a physician who will assess your individual needs, contact Dr. Kong’s San Francisco med spa to schedule your consultation today.
This information is provided for educational purposes only and does not replace a consultation with a board-certified physician. Outcomes, risks, and suitability vary from patient to patient.
