Built for skin cancer
Purpose-built to score malignancy and separate the common benign and malignant lesion classes, trained against histopathology-confirmed diagnoses.
- Melanoma
- Squamous Cell Carcinoma
- Basal Cell Carcinoma
- Actinic Keratosis
Investigational device · not FDA-cleared
Skin cancer screening, seen clearly.
Skinpendium gives non-dermatologist physicians a calibrated malignancy probability and the closest confirmed cases for every suspicious lesion — in seconds, inside the visit.
- Calibrated malignancy probability
- Similar confirmed cases
- Writes to the EHR
What it does
Decision support that supports the decision.
Transparent, calibrated and integrated. Skinpendium informs the biopsy-or-refer call; the clinician makes it.
Confidence you can act on
Calibration keeps reported probabilities honest: a stated risk behaves like that risk, with no inflated confidence.
Show the evidence
Every result arrives with the closest histopathology-confirmed cases, so the reasoning is inspectable.
Lives in the EHR
Integrates with Epic and Oracle Health (Cerner) and writes results, referrals and follow-ups back to the chart with server-side audit logging.
Native on iOS and Android
One shared clinical core: built-in quality checks, offline-first sync, per-patient history and PDF reports.
Designed for HIPAA
Clinical data encrypted at rest, Safe Harbor de-identification, TLS everywhere and per-organization API keys with a full audit trail.
Validated performance
Built to the standard a regulator reads.
Melanoma sensitivity comes first. Skinpendium is engineered to catch melanoma while keeping specificity high enough to be useful in the room.
Histopathology ground truth
Trained and validated on biopsy-confirmed lesions, not clinician impressions.
Tested on new institutions
Evaluated on cases from clinics and sources the model never saw in training.
Rigorous by design
Every model change is registered before it is tested, and tested on its own, so an improvement is real rather than noise.
Workflow
Three steps, one visit.
- 01
Assess
Open the lesion in the app. Built-in quality checks run before anything is submitted.
- 02
Analyze
The AI engine returns a calibrated malignancy probability, a differential and the closest confirmed cases in seconds.
- 03
Decide
Review the result beside your own assessment, then biopsy, refer or follow up. The report writes straight to the chart.
Provider workspace
Run it across the whole practice.
Clinicians, devices and sites in one place, with every flagged lesion followed through to its pathology result.
portal.skinpendium.com/dashboardSample data
Harborline Family Medicine
Dashboard
- Case activity
- Growing
- Flagged for review
- All reviewed
- Biopsy follow-up
- On track
- Pathology
- Up to date
Up on last month
Same-day follow-up
Orders tracked in the EHR
Results matched to cases
Case volume
Recent weeks
- Harborline MainActive
- Northgate ClinicActive
- Westfield Urgent CareOnboarding
Case workflow
Closed loop
Submitted
Quality-checked on the device
Flagged
Reviewed by the clinician
Biopsy ordered
Order placed in the EHR
Pathology returned
Result matched to the case
Charted
Report written back to the record
Pathology categories
- Melanoma
- Basal cell carcinoma
- Squamous cell carcinoma
- Actinic keratosis
- Benign
Be first in the clinic.
Skinpendium is investigational, not FDA-cleared. Leave your email and we will tell you when it is available for clinical use.