A Fusion Approach of Multimodality Medical Image with Deep Neural Network

Huang, Jian; Wei, Yuanyuan; Liang, Dongling

doi:10.1109/itaic54216.2022.9836554

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Curriculum Development For Ai Competency1

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2024

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“…This knowledge is fundamental as healthcare professionals need to understand how to interpret vast datasets to inform their clinical decisions. Students should be trained to use statistical tools and algorithms to analyze medical data, recognizing patterns that may not be apparent to the human eye [9].…”

Section: Curriculum Development For Ai Competencymentioning

confidence: 99%

Approaches and countermeasures of general practitioner training under the background of artificial intelligence

2024

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The infusion of artificial intelligence (AI) into healthcare promises to redefine the role and training of general practitioners (GPs). This paper comprehensively reviews the current approaches and devises countermeasures for general practitioner training, considering the transformative influence of AI technologies. It evaluates the impact on diagnostics, decision-making, and the human elements of practice, and addresses ethical and legal challenges. Furthermore, it anticipates future directions for AI integration, emphasizing the need for innovative training methods and the reinforcement of human-AI collaboration in primary care.

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Section: Curriculum Development For Ai Competencymentioning

confidence: 99%

Approaches and countermeasures of general practitioner training under the background of artificial intelligence

2024

FSST

View full text Add to dashboard Cite

show abstract

A Fusion Approach of Multimodality Medical Image with Deep Neural Network

Cited by 1 publication

References 11 publications

Approaches and countermeasures of general practitioner training under the background of artificial intelligence

Approaches and countermeasures of general practitioner training under the background of artificial intelligence

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