AIMC Topic: Learning

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Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review.

Journal of educational evaluation for health professions Mar 15, 2024
BACKGROUND: ChatGPT is a large language model (LLM) based on artificial intelligence (AI) capable of responding in multiple languages and generating nuanced and highly complex responses. While ChatGPT holds promising applications in medical education...
Learning Artificial Intelligence Language Education, Medical Computer Simulation
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ANYmal parkour: Learning agile navigation for quadrupedal robots.

Science robotics Mar 13, 2024
Performing agile navigation with four-legged robots is a challenging task because of the highly dynamic motions, contacts with various parts of the robot, and the limited field of view of the perception sensors. Here, we propose a fully learned appro...
Learning Robotics Upper Extremity Locomotion Motion
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Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2024
Recent research has demonstrated the significance of incorporating invariance into neural networks. However, existing methods require direct sampling over the entire transformation set, notably computationally taxing for large groups like the affine ...
Learning Neural Networks, Computer
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Cognitive ergonomics and robotic surgery.

Journal of robotic surgery Mar 5, 2024
Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response, and perception. Cognitive workload (CWL) involves use of working memory (mental strain and effort) to complete a task. The three types of cognitive ...
Ergonomics Robotics Learning Benchmarking Robotic Surgical Procedures Humans
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Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Neural networks : the official journal of the International Neural Network Society Mar 4, 2024
Heterogeneous graph neural networks play a crucial role in discovering discriminative node embeddings and relations from multi-relational networks. One of the key challenges in heterogeneous graph learning lies in designing learnable meta-paths, whic...
Neural Networks, Computer Semantics Learning
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Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

JAMA network open Mar 4, 2024
IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a shortage of medical geneticists, necessitates innovative educational approaches.
Vestibular Diseases Hematologic Diseases Face Recognition, Psychology Abnormalities, Multiple Educational Status Child Learning Artificial Intelligence Humans
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The Future of Nursing: Navigating the AI Revolution Through Education and Training.

Journal of continuing education in nursing Mar 1, 2024
Artificial intelligence is becoming a fundamental technology in health care, nursing, and education. Understanding how to navigate this advanced technology is critically important for clinical nursing staff as well as educators. Basic professional nu...
Humans Artificial Intelligence Educational Status Nursing Staff Learning Technology
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A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

Medical teacher Feb 29, 2024
BACKGROUND: Artificial Intelligence (AI) is rapidly transforming healthcare, and there is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and educational practice in medical education. This review aimed to map t...
Humans Education, Medical Learning Artificial Intelligence Teaching
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Coarse-to-fine visual representation learning for medical images via class activation maps.

Computers in biology and medicine Feb 29, 2024
The value of coarsely labeled datasets in learning transferable representations for medical images is investigated in this work. Compared to fine labels which require meticulous effort to annotate, coarse labels can be acquired at a significantly low...
Thorax Learning Neural Networks, Computer
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Investigation of the adaptation of older adults to online learning and artificial intelligence.

Revista espanola de geriatria y gerontologia Feb 28, 2024
PURPOSE: The purpose of this study was to investigate the adaptation of older adults, to online learning and artificial intelligence.
Aged Female Male Aged, 80 and over Artificial Intelligence Learning Humans Internet Adaptation, Psychological Education, Distance
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