What's New In Digital Health

Big data has become an essential factor to the continued growth of artificial intelligence (AI) and machine learning (ML) in healthcare. This article provides insight how the increasing amounts of big data will revolutionize artificial intelligence in dermatology and the healthcare industry.

Studies suggest that artificial intelligence (AI) has reached the capacity to match or exceed dermatologists in diagnosing skin cancers through examination of dermoscopy images. This article summarizes the latest applications of AI in dermatology while discussing their advantages in dermatology.

We are proud to announce that our CEO, Maryam Sadeghi was announced as BC's Most Influential Woman in Health Tech in 2018! We'd like to congratulate her on this achievement and learn more about her journey to developing MoleScope (digital dermoscope) and DermEngine (intelligent dermatology software)

A dermoscope is designed to support dermatologists in identifying changes to the skin. Although the majority argue that a dermatoscope is an essential tool, some experts still do not use the device. This article looks to investigate the reasoning behind this while discussing potential solutions.

Recently, a study showed that a computer algorithm using deep learning technology outperformed a group of dermatologists in the diagnosis of melanomas using dermoscopy images. These results are an important milestone of how artificial intelligence (AI) is continuing rising to match medical experts.

A variety of technologies are emerging to support dermatologists in their practice and enhance the education of medical students, researchers and professionals. See how teledermatology, content-based image retrieval, and online networking tools are revolutionizing the way medical professionals learn