Big data is an increasingly common term referring to the collection and analysis of large amounts of data to draw patterns of predictability for disease prevention and management. The potential of big data in dermatology can contribute to the early detection of skin cancer for higher survival rates.
As the world of digital healthcare continues to evolve how have the latest innovations been adopted within your practice? With changes occurring so quickly they might be hard to identity. Read on to discover seven key shifts in digital healthcare with a focus on the dermatology industry.
Interoperability is a key trend in the field of digital healthcare. Discover what interoperability is, why it is important to medical fields such as dermatology, and learn about how intelligent dermatology such as DermEngine is developing integration tools to create a centralized platform.
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.
In recent years, big data has become a buzzword when talking about growth in the technology sector. However, there are still confusions about exactly what big data is. This guide will go through the core concepts and ideas behind Big Data and with the goal of keeping it simple
See how advancements in advancements inbBig data processing tools are causing researchers to predict huge gain in the predictive analytics market for healthcare