#skinvision — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #skinvision, aggregated by home.social.
-
SkinVision Pro Launches Globally at HLTH Europe: AI-powered Skin Health Platform Connected To Healthcare Providers
SkinVision Pro connects AI-powered skin health assessments directly to medical practices, giving doctors structured information before the consultation…
#Europe #EU #medicaldevice #medicalpractices #patientqueries #skinassessment #skincancer #skinspots #SkinVision #SkinVisionService
https://www.europesays.com/europe/70563/ -
heise+ | eHealth: Fünf Hautscan-Apps mit KI im Vergleich
Beginnender Hautkrebs oder gutartiges Papillom? Einige Apps analysieren Smartphone-Fotos schnell per künstlicher Intelligenz. Was taugen solche Apps wirklich?
eHealth: Fünf Hautscan-Apps mit KI im Vergleich -
heise+ | eHealth: Fünf Hautscan-Apps mit KI im Vergleich
Beginnender Hautkrebs oder gutartiges Papillom? Einige Apps analysieren Smartphone-Fotos schnell per künstlicher Intelligenz. Was taugen solche Apps wirklich?
eHealth: Fünf Hautscan-Apps mit KI im Vergleich -
SkinVision - This A.I.-powered app for Android and iOS can spot skin cancer with 95 percent accuracy
SkinVision is an iOS and Android app that lets users assess and track skin spots for changes over time. It works by asking users to snap a photo of concerning spots on their skin using their smartphone camera. Within 30 seconds of submitting this photo for review, an artificial intelligence algorithm then delivers a risk assessment: Either low, low with symptoms, or high. It does this by looking for telltale signs of skin cancer in spots, such as irregular patterns, multiple colors, asymmetry, size, and uneven borders. In the event that the app raises concerns, users can then visit a medical professional to get advice on what to do next.
In a recent study published in the Journal of the European Academy of Dermatology and Venereology, investigators tested the app’s claims that it can play a crucial role in early skin cancer detection. They concluded that it is around 95.1% sensitive in its ability to identify the most common forms of skin cancer. https://squeet.me/objects/962c3e10fb6f56432c274babfb944ca0a2f9bcb2