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Artificial Intelligence and Dialysis [PDF]
Kidney Diseases, 2018 Contemporary medical science heavily relies on the use of technology. Part of this technology strives to im- prove examination and measurement of the human body, with some of the most impressive technical breakthroughs to be found in the development of non-invasive proce- dures.
Miguel Hueso, Alfredo Vellido
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Is this artificial intelligence? [PDF]
Facta universitatis - series: Electronics and Energetics, 2020 Artificial Intelligence (AI) has become one of the most frequently used terms in the technical jargon (and often in not-so-technical jargon). Recent advancements in the field of AI have certainly contributed to the AI hype, and so have numerous applications and results of using AI technology in practice. Still, just like with any other hype,
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GHOST—A New Face Swap Approach for Image and Video Domains
IEEE Access, 2022 Deep fake stands for a face swapping algorithm where the source and target can be an image or a video. Researchers have investigated sophisticated generative adversarial networks (GAN), autoencoders, and other approaches to establish precise and robust ...
Alexander Groshev +4 more
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Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Discover Artificial Intelligence, 2023 A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial intelligence (AI) in the assessment of medical images has led to accurate evaluations being performed ...
Nafiseh Ghaffar Nia +2 more
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Capital as Artificial Intelligence [PDF]
, 2015 This article examines science-fictional allegorizations of Soviet-style planned economies, financial markets, autonomous trading algorithms, and global capitalism writ large as nonhuman artificial intelligences, focussing primarily on American science ...
Canavan, Gerry
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Implementation of machine learning algorithms to create diabetic patient re-admission profiles
BMC Medical Informatics and Decision Making, 2019 Background Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today’s computers to have the property of learning.
Mohamed Alloghani +6 more
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Artificial intelligence for waste management in smart cities: a review
Environmental Chemistry Letters, 2023 The rising amount of waste generated worldwide is inducing issues of pollution, waste management, and recycling, calling for new strategies to improve the waste ecosystem, such as the use of artificial intelligence.
Bingbing Fang +8 more
semanticscholar +1 more source
Artificial intelligence and echocardiography [PDF]
Echo Research & Practice, 2018 Abstract Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experience can lead to incorrect diagnoses. Artificial intelligence (AI) technologies provide new
Alsharqi, M +5 more
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, 2019 AbstractIn this chapter, we provide an overview of different artificial intelligence (AI) and machine learning (ML) techniques and discuss how these techniques have been employed in managing geospatial data sets as they pertain to Digital Earth. We introduce statistical ML methods that are frequently used in spatial problems and their applications.
Guérin, Eric +2 more
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Inferring strategies from observations in long iterated Prisoner’s dilemma experiments
Scientific Reports, 2022 While many theoretical studies have revealed the strategies that could lead to and maintain cooperation in the Iterated Prisoner’s dilemma, less is known about what human participants actually do in this game and how strategies change when being ...
Eladio Montero-Porras +3 more
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