Dermoscopy, total-body photography & AI skin analysis
Magnified skin imaging and whole-body photo mapping, increasingly read by algorithms, to find melanoma early and avoid unnecessary biopsies.
Dermoscopy improves diagnostic accuracy over the naked eye; sequential total-body photography tracks change in high-risk patients. Deep-learning classifiers have matched dermatologists on benchmark images and DermaSensor (elastic scattering spectroscopy, FDA 2024) is cleared for primary care. Real-world impact depends on population, skin tone representation in training data, and workflow; no screening RCT has shown mortality benefit.
How it works
Polarised or immersion magnification of skin structures; convolutional networks trained on labelled lesion images; spectroscopy of tissue optical properties.
- Cheap, non-invasive, repeatable
- Reduces benign excisions when used well
- Algorithm performance drops on darker skin and rare subtypes
- No proven mortality benefit for population screening
Latest papers
topQuery for this technology: (TITLE:"Dermoscopy, total-body photography & AI skin analysis" OR ABSTRACT:"Dermoscopy, total-body photography & AI skin analysis") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Dermoscopy, total-body photography & AI skin analysis, not a curated reading list.
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