AI-assisted line-field confocal optical coherence tomography

Exposure

1 paper2 findings

  • 1 lab in 1 country
  • 2 of 2 findings with company ties
  • Humans1

Associations

2

Basal cell carcinoma subtype classification accuracy

upin humans1

1 study
  1. 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

    AI-Assisted Line-Field Confocal Optical Coherence Tomography to Detect Subclinical Basal Cell Carcinoma

    JAMA dermatology19 Aug 2026

Subclinical basal cell carcinoma

upin humans1

1 study
  1. 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

    AI-Assisted Line-Field Confocal Optical Coherence Tomography to Detect Subclinical Basal Cell Carcinoma

    JAMA dermatology19 Aug 2026

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