AI Devices for Triaging Skin Cancer Have Some Hurdles to Clear

Skin Cancer News

AI Devices for Triaging Skin Cancer Have Some Hurdles to Clear
Malignant Skin NeoplasmArtificial IntelligenceDeep Learning
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Devices that use artificial intelligence to evaluate skin lesions are beginning to emerge, but AI has some hurdles to overcome before it's widely accepted in dermatology.

Emerging diagnostic technology that uses artificial intelligence has demonstrated the potential to free dermatologists from the burden of triaging skin lesions, but dermatology lags behind some other specialties in harnessing the power of AI, and confusion surrounds dermatologists' role in using this technology, according to researchers and dermatologists investigating AI.

Raman spectroscopy, which contains a handheld Raman probe, a diode laser, and a detecting spectrograph. A laser beam — which at 1.56 W/cmis below the maximum permissible exposure — focuses on the skin target with a 3.5-mm spot, gathers data on the target, and feeds it back into the unit that houses the algorithm that evaluates the spot analysis. It's still in the investigative phase.

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Malignant Skin Neoplasm Artificial Intelligence Deep Learning AI NPL Machine Learning ML Natural Language Processing Artificial Neural Networks Healthcare And Medical Technology Health And Medical Tech Health And Med Tech Health And Medical Technology Healthcare Technology Medical Technology

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