AIMC Topic: Research Personnel
Clear Filters Showing 51 to 60 of 125 articles
Building Moral Robots: Ethical Pitfalls and Challenges.
Science and engineering ethics
Jan 30, 2019
This paper examines the ethical pitfalls and challenges that non-ethicists, such as researchers and programmers in the fields of computer science, artificial intelligence and robotics, face when building moral machines. Whether ethics is "computable"...
Extracting Healthcare Quality Information from Unstructured Data.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are us...
Using machine learning to disentangle homonyms in large text corpora.
Conservation biology : the journal of the Society for Conservation Biology
Mar 10, 2018
Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summary of evidence to support conservation action. These reviews bridge the gap between researchers and managers by presenting a comprehensive overview of ...
From ships to robots: The social relations of sensing the world ocean.
Social studies of science
Dec 4, 2017
The dominant practices of physical oceanography have recently shifted from being based on ship-based ocean sampling and sensing to being based on remote and robotic sensing using satellites, drifting floats and remotely operated and autonomous underw...
Canary: An NLP Platform for Clinicians and Researchers.
Applied clinical informatics
May 3, 2017
Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared t...
Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration.
BMC anesthesiology
May 26, 2025
This article explores challenges for bridging the gap between scientists and healthcare professionals in artifical intelligence (AI) integration. It highlights barriers, the role of interdisciplinary research centers, and the importance of diversity,...
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