AI-assisted line-field confocal optical coherence tomography
1 paper2 findings
- 1 lab in 1 country
- 2 of 2 findings with company ties
- Humans1
Associations
2Basal cell carcinoma subtype classification accuracy
upin humans1
1 study
Basal cell carcinoma subtype classification accuracy
upin humans1
AI-assisted line-field confocal optical coherence tomography predicts basal cell carcinoma subtype classification accuracy in humans (86.7% (95% CI, 59.5%-98.3%)).
“Subtype classification was accurate in 13 of 15 histologically confirmed cases (86.7% [95% CI, 59.5%-98.3%])”
Human trialinconspicuous facial skin in high-risk patientsskinn = 150
JAMA dermatology19 Aug 2026
Subclinical basal cell carcinoma
upin humans1
1 study
Subclinical basal cell carcinoma
upin humans1
AI-assisted line-field confocal optical coherence tomography predicts subclinical basal cell carcinoma in humans (83.3% (95% CI, 58.1%-96.4%)).
“corresponding to a PPV of 83.3% (95% CI, 58.1%-96.4%)”
Human trialinconspicuous facial skin in high-risk patientsskinn = 150
JAMA dermatology19 Aug 2026
Latest
1 in 12 monthsJAMA Dermatology
AI-Assisted Line-Field Confocal Optical Coherence Tomography to Detect Subclinical Basal Cell Carcinoma
Cross-sectional study of 150 peopleBasal cell carcinoma