AIMC Topic: Learning

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Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Neural networks : the official journal of the International Neural Network Society
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...

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

JAMA network open
IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a shortage of medical geneticists, necessitates innovative educational approaches.

The Future of Nursing: Navigating the AI Revolution Through Education and Training.

Journal of continuing education in nursing
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...

A scoping review of artificial intelligence in medical education: BEME Guide No. 84.

Medical teacher
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...

Coarse-to-fine visual representation learning for medical images via class activation maps.

Computers in biology and medicine
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...

Investigation of the adaptation of older adults to online learning and artificial intelligence.

Revista espanola de geriatria y gerontologia
PURPOSE: The purpose of this study was to investigate the adaptation of older adults, to online learning and artificial intelligence.

RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer.

Artificial intelligence in medicine
Due to the surging of cost, artificial intelligence-assisted de novo drug design has supplanted conventional methods and become an emerging option for drug discovery. Although there have arisen many successful examples of applying generative models t...

Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation.

Scientific reports
The number of robot-assisted minimally invasive surgeries is increasing annually, together with the need for dedicated and effective training. Surgeons need to learn how to address the novel control modalities of surgical instruments and the loss of ...

Continuous Gesture Control of a Robot Arm: Performance Is Robust to a Variety of Hand-to-Robot Maps.

IEEE transactions on bio-medical engineering
OBJECTIVE: Despite advances in human-machine-interface design, we lack the ability to give people precise and fast control over high degree of freedom (DOF) systems, like robotic limbs. Attempts to improve control often focus on the static map that l...

Artificial intelligence and explanation: How, why, and when to explain black boxes.

European journal of radiology
Artificial intelligence (AI) is infiltrating nearly all fields of science by storm. One notorious property that AI algorithms bring is their so-called black box character. In particular, they are said to be inherently unexplainable algorithms. Of cou...