What happened
SciBase of Stockholm, Sweden, makes Nevisense, a probe that measures the electrical impedance of a skin lesion. A classifier developed on data from nearly 2,000 patients turns the readings into a score and a positive or negative result. In the SIMPS study at 22 sites in Europe and the United States, 1,951 patients had 2,416 lesions that dermatologists had chosen to excise. The dermatologists did not see the device results. FDA reviewers report that the device detected 256 of 267 melanomas, a sensitivity of 95.9%, and that its specificity was 31.3%. In a reader study, 41 US dermatologists judged photographs of 141 lesions without and then with the device output. Their sensitivity for melanoma rose from 77.2% to 83.6%. Their specificity fell by 4% on average, a change that was not statistically significant. FDA approved Nevisense on 28 June 2017. About 69% of lesions without melanoma were classified positive.
Sources
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Regulatory document, by authors with no tie to the system.
U.S. Food and Drug Administration, Center for Devices and Radiological Health. Summary of Safety and Effectiveness Data (SSED), P150046: Nevisense. Approved 2017-06-28.
The Nevisense device correctly identified 256 melanoma lesions out of 267 melanoma lesions, yielding sensitivity of 95.9%.
Details
AI system
- Workflow
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Clinicians measured lesions between 2 mm and 20 mm across that dermatologists had already chosen to excise. Readers judged each lesion without the device score first and then with it.
Follow-up
- Conditions for replication
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The lesion has clinical or historical signs of melanoma and is not clinically obvious melanoma. The skin over the lesion is intact and outside hair-covered areas and special sites such as acral skin.
Entry details
- Sector
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Healthcare.
- Purpose
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SciBase built Nevisense to give dermatologists more information about lesions with signs of melanoma when they are considering a biopsy.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Nevisense caught nearly all melanomas at low specificity (AIBD-0791). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0791.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)