Artificial Intelligence, Real Radiology
نویسندگان
چکیده
منابع مشابه
Artificial intelligence in radiology: decision support systems.
Computer-based systems that incorporate artificial intelligence techniques can help physicians make decisions about their patients' care. In radiology, systems have been developed to help physicians choose appropriate radiologic procedures and to formulate accurate diagnoses. These decision support systems use techniques such as rule-based reasoning, artificial neural networks, hypertext, Bayes...
متن کاملThe potential impact of artificial intelligence in radiology
1. MD, Radiologist, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil. E-mail: [email protected]. 2. MD, MPH, Neuroradiologist, Head of the Division of Medical Imaging Informatics, The Ohio State University Wexner Medical Center, Columbus, OH, USA. E-mail: [email protected]. Artificial intelligence (AI) will bring changes to the professional life of radiologists, just as it ha...
متن کاملArtificial Intelligence and Real-Time Interactive Improvisation
My long-term goal is to interactively improvise with the computer, using it as a tool when I practice at home alone in order to help me capture and experiment with my own spontaneous musical ideas. Towards this end, I am building Band-OUT-of-a-Box (BoB), a software system that interacts with a live, improvising (monophonic) musician in the jazz/blues setting. My goal is for BoB to provide perso...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملIntelligence in Artificial Intelligence
ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Radiology: Artificial Intelligence
سال: 2019
ISSN: 2638-6100
DOI: 10.1148/ryai.2019184001