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
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
Artificial Intelligence in Higher Education: Perspicacity Relation between Educators and Students [PDF]
Artificial intelligence is a system with the nature of human intelligence that can automatically provide knowledge and information to create intelligent applications to make it easier to solve problems such as problem-solving, speech recognition, and ...
Bali, Muhammad Mushfi El Iq +2 more
core +2 more sources
Sustainable Artificial Intelligence through Continual Learning [PDF]
The increasing attention on Artificial Intelligence (AI) regulation has led to the definition of a set of ethical principles grouped into the Sustainable AI framework. In this article, we identify Continual Learning, an active area of AI research, as a promising approach towards the design of systems compliant with the Sustainable AI principles.
Cossu, A., Ziosi, M., Lomonaco, V.
openaire +2 more sources
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
Using the Mean Absolute Percentage Error for Regression Models [PDF]
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud +3 more
core +12 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

