The findings of our study showed that by assessing clinical images, the CNN system in our study could identify rosacea with accuracy and precision comparable to that of an experienced dermatologist.
Source: nih.gov
"Artificial intelligence is starting to combine with smartphone technology in ways that could have profound impacts on the way we monitor health, from tracking blood volume changes in diabetics to detecting concussions by filming the eyes." "Using the technology to spot melanoma in its early stages is...
Source: newatlas.com
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential...
Source: nih.gov
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population - PubMed: The performance of CNN developed with relatively modest number of dermoscopic images of skin tumors and...
Source: nih.gov
WhatsApp: A Real-Time Tool to Reduce the Knowledge Gap and Share the Best Clinical Practices in Psoriasis: Abstract Background: Psoriasis is a chronic inflammatory disease that affects around 100 million people worldwide. The burden of disease is high, but more recent therapies show promising results....
Source: liebertpub.com
YoDerm Provides Consultations and Prescriptions Within 24 Hours |: In many areas the wait time to see a dermatologist can span weeks or even months, leaving those with acute or chronic skin conditions frustrated. YoDerm is
Source: medgadget.com