AI-assisted review
Guided Image Screening
Supports staff by checking uploaded lesion images and returning clear, structured prediction results.
DermaAI Vision helps authorized clinical staff upload lesion images, run AI-assisted screening, organize patient records, and review diagnostic history with role-based access control.
Workspace Preview
1. Secure sign-in
Authorized staff enter with email, password, and email OTP verification.
2. Upload lesion image
The clinician uploads a close-up skin lesion or dermatoscopic image.
3. AI image review
The system reviews image suitability before producing decision-support results.
4. Clinical report
The system stores predictions, confidence scores, warnings, and patient logs.
Clinical workspace features
The public overview focuses on what the system helps clinical teams do, without exposing internal account permissions or system configuration.
AI-assisted review
Supports staff by checking uploaded lesion images and returning clear, structured prediction results.
Patient-centered workflow
Helps teams keep patient cases, scan dates, confidence scores, and clinical notes in one workspace.
Follow-up comparison
Allows clinicians to compare previous and follow-up lesion images for visual progression review.
Supported disease classes
These categories describe the image classes the system can organize for AI-assisted review. Results should always be confirmed by a qualified clinician.
Sun-damaged scaly lesions and early intraepidermal carcinoma patterns that require clinical review.
A common skin cancer that often grows slowly but can damage nearby tissue if untreated.
Mostly non-cancerous growths such as seborrhoeic keratoses or solar lentigo that may mimic other lesions.
A usually benign, firm skin nodule that commonly appears on the limbs.
A serious skin cancer involving pigment cells that needs urgent professional evaluation.
Common benign moles formed by melanocytes; changing moles should be checked by a clinician.
Blood-vessel-related lesions such as angiomas or pyogenic granuloma-like findings.
Fast Review
Staff can move from image upload to structured AI-assisted results without leaving the workspace.
Longitudinal Review
Follow-up images can be compared to help observe changes in lesion appearance across visits.
Clinical Safety
AI results support review but do not replace a dermatologist's final diagnosis.