Understanding Medical Students' Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study. [PDF]
Medical students learning to use artificial intelligence for medical practices is likely to enhance medical services. However, studies in this area have been lacking.
Li X +4 more
europepmc +2 more sources
Artificial intelligence and machine learning [PDF]
AbstractWithin the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia and industry—sometimes as synonyms, sometimes with different meanings.
Niklas Kühl 0001 +3 more
openaire +4 more sources
Deep-learning artificial intelligence analysis of clinical variables predicts mortality in COVID-19 patients. [PDF]
The large number of clinical variables associated with coronavirus disease 2019 (COVID‐19) infection makes it challenging for frontline physicians to effectively triage COVID‐19 patients during the pandemic.
Zhu JS +7 more
europepmc +2 more sources
Artificial-intelligence methods and machine-learning models have demonstrated their ability to optimize, model, and automate critical water- and wastewater-treatment applications, natural-systems monitoring and management, and water-based agriculture ...
M. Lowe, Ruwen Qin, X. Mao
semanticscholar +1 more source
Implicit Estimation of Paragraph Relevance From Eye Movements
Eye movements were shown to be an effective source of implicit relevance feedback in constrained search and decision-making tasks. Recent research suggests that gaze-based features, extracted from scanpaths over short news articles (g-REL), can reveal ...
Michael Barz +4 more
doaj +1 more source
An Overview of Continuous Learning Artificial Intelligence-Enabled Medical Devices
Continuous learning artificial intelligence as a medical device or as part of a medical device is a rapidly developing area – both in terms of technology development and determining how to regulate and evaluate these technologies.
Andrea Smith, M. Severn
semanticscholar +1 more source
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
In recent years, deep neural networks for strategy games have made significant progress. AlphaZero-like frameworks which combine Monte-Carlo tree search with reinforcement learning have been successfully applied to numerous games with perfect information.
Jannis Blüml +5 more
doaj +1 more source
Artificial Intelligence and Learning Environments: Preface [PDF]
This chapter contains sections titled: Rationale for the Collection, Research Standards, Overview of the Articles, Research Trends of the 1980s, New Perspectives ...
Clancey, William J., Soloway, Elliot
openaire +2 more sources
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI [PDF]
In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field.
Alejandro Barredo Arrieta +11 more
semanticscholar +1 more source
Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the eye retina.
Mohammad Z. Atwany +2 more
doaj +1 more source

