Natural Language Processing (NLP) is a $16 billion market opportunity positioned for great innovations in the healthcare sector. Designed to create comprehensive documentation solutions, this niche AI-based solution is already revolutionizing how data is utilized.
AI is the technology deemed to revolutionize human life to unprecedented levels. However, the degree to which it is widely accepted by users in healthcare is directly related to how much understanding there is on the basics of the functionality of the programming that powers intelligent algorithms.
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.
Artificial intelligence is revolutionizing the concept of learning through the use of powerful algorithms capable of outperform human experts in a variety of disciplines. However, such success is reliant on the relatively unknown tasks of “humans in the loop” for data labelling.
It's National Skin Cancer Action Week in Australia. With 2 in 3 Australians diagnosed in their lifetime, it's important to educate people on the importance of skin cancer early detection. But where exactly are patients turning to seek medical support, and most importantly, are they receiving it?
With the increasing implementation of intelligent dermatology tools, the dynamic of healthcare relationships has forever been changed: patient-doctor, doctor-colleague, and (most ambiguously) doctor-technology. This article examines the three relationships and how this impacts quality of care.
Artificial intelligence in dermatology is being introduced throughout every aspect of the industry, from dermoscopy all the way to predictive analytics. Amidst these astounding advances, which ones are set to have the greatest impact on dermatologists, their practice and their patients?