INTRODUCTION: Whilst general artificial intelligence (AI) is yet to appear, today's narrow AI is already good enough to transform much of healthcare over the next two decades.
INTRODUCTION: Artificial Intelligence in Medicine (AIM) research is now 50 years old, having made great progress that has tracked the corresponding evolution of computer science, hardware technology, communications, and biomedicine. Characterized as ...
BACKGROUND: The rise of biomedical expert heuristic knowledge-based approaches for computational modeling and problem solving, for scientific inquiry and medical decision-making, and for consultation in the 1970's led to a major change in the paradig...
OBJECTIVES: To summarize recent research and present a selection of the best papers published in 2017 in the field of clinical Natural Language Processing (NLP).
OBJECTIVES: To review the latest scientific challenges organized in clinical Natural Language Processing (NLP) by highlighting the tasks, the most effective methodologies used, the data, and the sharing strategies.
OBJECTIVES: Deep learning models such as convolutional neural networks (CNNs) have been applied successfully to medical imaging, but biomedical signal analysis has yet to fully benefit from this novel approach. Our survey aims at (i) reviewing deep ...
To summarize recent research and present a selection of the best papers published in 2016 in the field of clinical Natural Language Processing (NLP). A survey of the literature was performed by the two section editors of the IMIA Yearbook NLP secti...