Data democracy represents the new trend within data science analysis. Citizen data scientists are quickly becoming the link between what data analysis can yield and how it can best be utilized via a holistic understanding of the business behind it.
The implementation of SaaS systems to dermatology services has changed the paradigm of how care is experienced by doctors and patients. AI is now helping further transform such services to have better efficiency, adaptability and safety.
The Canadian Digital Technology Supercluster is a nationwide initiative aiming to fund technological projects across the country. Today marks the official launch of Phase 1, where MetaOptima will collaborate with partners in the execution of the Dermatology Intelligent Imaging Network project.
Technology is driving the many changes that the healthcare field has been witnessing in recent times. Dermatology has seen the implementation of many advancements as much in hardware as in software systems for the improvement of service quality for doctors and patients alike.
AI is driving the latest advancements in many fields, including dermatology. Despite the great ability of AI algorithms to perform complex tasks with similar accuracy as professional experts, the emotional and relational elements of human interaction render patient-doctor relationships imperative.
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.
Recently, there has been a considerable amount of hype surrounding artificial intelligence (AI) in dermatology. This article focuses on examining the accuracy, benefits, and applications of smart algorithms in AI developed by IBM Watson, Stanford University, and MetaOptima.