KestyAI
Automated quantification of cosmetic improvement after periorbital laser surgery
▸ More attributes
Brief overview
Kesty AI is a proprietary machine-learning system used to quantify cosmetic outcomes after combined CO2 laser blepharoplasty and Er:YAG resurfacing from standardized facial photographs. In this 10-patient single-center case series, the model generated Fitzpatrick Wrinkle Scale and Glogau Wrinkle Scale scores from pre- and post-procedure images, showing improved wrinkle severity after treatment. The authors report the algorithm was trained on thousands of dermatologist-labeled facial photographs, but no architectural details, performance metrics, calibration analyses, or external validation data were provided. Code, pretrained weights, and training datasets were not released. The system was used as an adjunctive cosmetic assessment tool rather than a clinical decision-making model and remains a closed commercial platform without independent reproducibility.
Reported cohort averages only (no statistical testing):
Reported cohort averages only (no statistical testing): • FWS: 6.8 → 5.4 • Glogau: 3.5 → 3.0 No validation metrics (MAE, ICC, reliability) or human–AI comparisons provided.
| Study design | Case series |
|---|---|
| Center type | Single-center |
| Patients | 10 |
| Images / eyes | 20 photos |
| Split | Not reported |
| Reporting frameworks | None stated |
| Age range | 40-73 |
|---|---|
| Sex (% female) | Not reported |
| Race / ethnicity reported | N |
| Subgroup performance | N |
- Concept
- Prototype
- Internal val.
- External val.
- Regulator
- Clinical
▸ Why this score?
The APPRAISE-AI tool grades AI/ML medical studies across 24 items in 6 subdomains, scored independently by two reviewers. The total reflects the methodological transparency of the publication — not the underlying clinical value of the model.
How to read this: high scores in clinical relevance and reporting with low scores in methodological conduct, robustness, or reproducibility is the dominant pattern in ophthalmic AI today.
Quality bands: Low <40 · Moderate 40–59 · High 60–79 · Very High 80+. Most published ophthalmic AI sits in the Low–Moderate band; studies that break into High typically combine multi-center datasets, prospective evaluation, and open-source release.
Bibliographic record ▸
| Model ID | oculoplastics_kesty_2025 |
|---|---|
| Full author list | Kesty, K. R. |
| Journal | J Cosmet Dermatol |
| DOI | 10.1111/jocd.70022 |
| Conditions | Upper eyelid dermatochalasis, periorbital rhytids, lower eyelid skin laxity |
Model internals ▸
| Architecture family | Commercial API |
|---|---|
| Architecture detail | Kesty AI-generated wrinkle severity scores (Fitzpatrick Wrinkle Scale, Glogau Scale) from pre–post facial photographs. |
Disclosures ▸
| Funding | Not reported |
|---|---|
| Conflicts of interest | K.R.K. is the Founder of Kesty AI |
Status, version, reviewers ▸
| Card status | Published |
|---|---|
| Card version | v1.0.0 |
| First added | 2026-04-28 |
| Last reviewed | 2026-04-28 |
| Reviewers | attribution opt-in pending |
Card changelog ▸
- 2026-04-28 initial publication (v1.0.0)