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Artificial intelligence in dermatology: the ‘unsupervised’ learning
British Journal of Dermatology, 2020The potential areas of application of artificial intelligence in dermatology are ever-increasing. With the wide availability of smartphones equipped with high-resolution cameras and impressive processing powers, harnessing these capabilities using machine learning (ML) could open new prospects in the management of dermatological disorders. Du-Harpur et
P. Acharya, M. Mathur
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Algorithm, machine learning and artificial intelligence
SSRN Electronic Journal, 2021We discuss the concepts of algorithm, machine learning and artificial intelligence. We start by noting that different definitions of algorithm may serve different epistemic purposes, and by highlighting the specificities of computer science algorithms together with a high-level overview of their different types.
Andrea Ferrario, Michele Loi
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Artificial Intelligence and Learning
2021Rapid technological advances, particularly recent artificial intelligence (AI) revolutions such as generative AI (e.g., ChatGPT, DALL-E), digital assistants (e.g., Alexa, Siri), self-driving cars, and humanoid robots, have changed human lives and will continue to have even bigger impact on our future society.
Jaekyung Lee, Richard Lamb, Sunha Kim
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Artificial intelligence and machine learning in nephropathology
Kidney International, 2020Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emulating a nephropathologist's ability to extract information on diagnosis, prognosis, and therapy responsiveness from native or transplant kidney biopsies.
Jan U, Becker +9 more
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Machine learning and artificial intelligence in haematology
British Journal of Haematology, 2020SummaryDigitalization of the medical record and integration of genomic methods into clinical practice have resulted in an unprecedented wealth of data. Machine learning is a subdomain of artificial intelligence that attempts to computationally extract meaningful insights from complex data structures.
Roni Shouval +4 more
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Artificial Intelligence and Deep Learning for Brachytherapy
Seminars in Radiation Oncology, 2022In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods, have been employed extensively to solve various problems in brachytherapy. This paper presents a comprehensive literature review on recent developments and applications of AI/DL technologies for different areas in brachytherapy, including image enhancement ...
Xun, Jia, Kevin, Albuquerque
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Machine learning in artificial intelligence
Artificial Intelligence in Engineering, 1993Abstract Among several forms of learning, learning concepts from examples is the most common and best understood. In this paper some approaches to learning concepts from examples are reviewed. In particular those approaches that are currently most important with respect to practical applications (learning decision trees and if-then rules), or likely ...
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Artificial Intelligence to Assist E-Learning
2019 14th International Conference on Computer Science & Education (ICCSE), 2019Teaching norms are taught through the way of large class teaching. Nowadays, most of the teaching method is still dependent on physical classes. Therefore, it’s hard to design individual lesson based on different students’ ability to achieve fundamental education.
Hsiao-Hui Li, Yuan-Hsun Liao, Yu-Tung Wu
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Artificial intelligence learns to reason
ScienceJulia has two sisters and one brother. How many sisters does her brother Martin have? Solving this tiny puzzle requires a bit of thinking. You might mentally picture the family of three girls and one boy and then realize that the boy has three sisters.
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Artificial intelligence, science, and learning
Journal of Thrombosis and Haemostasis, 2023David, Lillicrap, James H, Morrissey
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