Browsing by Subject "artificial intelligence"
Now showing items 1-7 of 7
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Adapting a Kidney Exchange Algorithm to Incorporate Human Values
(2017-05-04)Artificial morality is moral behavior exhibited by automated or artificially intelligent agents. A primary goal of the field of artificial morality is to design artificial agents that act in accordance with human values. ... -
Android Linguistics: How Machines Do Things With Words
(2021)The field of artificial intelligence (AI) was founded on the conviction that in order to make computers more advanced, it was necessary to build them to be more human. Adopting the human form as the blueprint for computer ... -
Anthropomorphic Attachments in U.S. Literature, Robotics, and Artificial Intelligence
(2010)"Anthropomorphic Attachments" undertakes an examination of the human as a highly nebulous, fluid, multiple, and often contradictory concept, one that cannot be approached directly or in isolation, but only in its constitutive ... -
Artificial intelligence evolution in smart buildings for energy efficiency
(Applied Sciences (Switzerland), 2021-01-02)© 2021 by the authors. Licensee MDPI, Basel, Switzerland. The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher ... -
Fluence Map Prediction Using Deep Learning Models - Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy.
(Frontiers in artificial intelligence, 2020-01)Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a difficult and time-consuming task. In this study, we aim to develop a novel deep learning framework to generate clinical-quality plans ... -
Machine Learning and Precision Medicine in Emergency Medicine: The Basics.
(Cureus, 2021-09)As machine learning (ML) and precision medicine become more readily available and used in practice, emergency physicians must understand the potential advantages and limitations of the technology. This narrative review focuses ... -
Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?
(JAMIA open, 2020-07)There is little known about how academic medical centers (AMCs) in the US develop, implement, and maintain predictive modeling and machine learning (PM and ML) models. We conducted semi-structured interviews with leaders ...
