Healthcare has been promised a vast improvement by artificial intelligence (AI) technology for many years. With AI’s promise to increase access to and understanding of data, provide better navigation of patient care, or better decipher new research and development efforts, healthcare pundits have eagerly anticipated its mainstream adoption. In the hopes of improving the usability and quality of AI in their respective fields, many companies have invested billions of dollars. In the space of innovation and building, these efforts have yielded a lot of useful results. However, the technology still has a long way to go, Forbes concludes. It has been a challenge to cultivate reliable data sets to use as teaching models in the development of AI technology in healthcare. AI technology uses vast sets of data to decipher patterns and make recommendations. When dealing with patient care data, these recommendations and pattern recognition outputs are only as good as the data sets provided.
Amazon aims to compete with Google in health AI
A group of Amazon scientists and engineers gathered in an internal conference to make big dreams come true, Business Insider reports (link in German). The event focused on machine learning. It’s a powerful form of artificial intelligence that has already transformed the business of Amazon and other tech giants. The special thing about the meeting was the focus was on ML possibilities in the medical field. For example, it was about how the use of ML can revolutionize drug research, clinical trials and genomics, i.e. DNA research. Business Insider has documents that shed light on the topics, goals, and challenges discussed. They show Amazon’s ambitions to compete with Google’s AI company DeepMind. That could make Amazon a serious player in the future of the medical industry.