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Artificial intelligence and machine learning in nephropathology

Kidney International, 2020
Artificial 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
openaire   +2 more sources

Artificial Intelligence and Learning

2021
Rapid 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
openaire   +1 more source

Machine learning and artificial intelligence in haematology

British Journal of Haematology, 2020
SummaryDigitalization 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
openaire   +2 more sources

Machine learning in artificial intelligence

Artificial Intelligence in Engineering, 1993
Abstract 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 ...
openaire   +1 more source

Artificial Intelligence and Deep Learning for Brachytherapy

Seminars in Radiation Oncology, 2022
In 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
openaire   +2 more sources

DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence

Comput. Methods Programs Biomed., 2023
BACKGROUND AND OBJECTIVE Artificial intelligence (AI) has several uses in the healthcare industry, some of which include healthcare management, medical forecasting, practical making of decisions, and diagnosis.
Niyaz Ahmad Wani   +2 more
semanticscholar   +1 more source

Artificial Intelligence to Assist E-Learning

2019 14th International Conference on Computer Science & Education (ICCSE), 2019
Teaching 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
openaire   +1 more source

Utilisation of Artificial Intelligence in Quranic Learning: Innovation or Threat?

Journal of Quranic Teaching and Learning
The development of Artificial Intelligence (AI) has penetrated various sectors of life, including in the realm of Islamic education, especially learning the Qur'an.
E. Engkizar   +4 more
semanticscholar   +1 more source

Opportunities and Challenges for Islamic Education Teachers in Using Artificial Intelligence in Learning

Muaddib: Journal of Islamic Teaching and Learning
The phenomenon of using Artificial Intelligence in education has become common. Not only in terms of work, Artificial Intelligence can also be used in the world of Islamic Education. This shows that Artificial Intelligence can also help Islamic Education
Najah Baroud   +3 more
semanticscholar   +1 more source

Artificial intelligence learns to reason

Science
Julia 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.
openaire   +2 more sources

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