AIMC Topic: Technology

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The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software.

Expert review of medical devices
INTRODUCTION: Artificial Intelligence (AI) is becoming increasingly utilized in the medical device industry as it can address unmet demands in clinical sites and provide more patient treatment options. This study aims to analyze the FDA's Breakthroug...

Possible Applications of Edge Computing in the Manufacturing Industry-Systematic Literature Review.

Sensors (Basel, Switzerland)
This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings show...

Sources of Risk of AI Systems.

International journal of environmental research and public health
Artificial intelligence can be used to realise new types of protective devices and assistance systems, so their importance for occupational safety and health is continuously increasing. However, established risk mitigation measures in software develo...

Deep learning for 1-bit compressed sensing-based superimposed CSI feedback.

PloS one
In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, 1-bit compressed sensing (CS)-based superimposed channel state information (CSI) feedback has shown many advantages, while still faces many challenges, such ...

Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology.

Current opinion in ophthalmology
PURPOSE OF REVIEW: The application of artificial intelligence (AI) in medicine and ophthalmology has experienced exponential breakthroughs in recent years in diagnosis, prognosis, and aiding clinical decision-making. The use of digital data has also ...

Challenging presumed technological superiority when working with (artificial) colleagues.

Scientific reports
Technological advancements are ubiquitously supporting or even replacing humans in all areas of life, bringing the potential for human-technology symbiosis but also novel challenges. To address these challenges, we conducted three experiments in diff...

Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology.

Sensors (Basel, Switzerland)
In this paper, deep learning and image processing technologies are combined, and an automatic sampling robot is proposed that can completely replace the manual method in the three-dimensional space when used for the autonomous location of sampling po...

Promoting Regional Economic Transformation Forecast Based on Intelligent Computing Technology.

Computational intelligence and neuroscience
The core of the value of artificial intelligence is to integrate with the real economy and become more dependent on local industries. In the entire artificial intelligence + industry development process, many new changes have appeared. This article m...

Financial Market Sentiment Prediction Technology and Application Based on Deep Learning Model.

Computational intelligence and neuroscience
In the real world, there are a variety of situations that require strategy control, that is reinforcement learning, as a method for studying the decision-making and behavioral strategies of intelligence. It has received a lot of research and empirica...

Cognitive Impairment of Patient With Neurological Cerebrovascular Disease Using the Artificial Intelligence Technology Guided by MRI.

Frontiers in public health
This study was to explore the application of MRI based on artificial intelligence technology combined with neuropsychological assessment to the cognitive impairment of patients with neurological cerebrovascular diseases. A total of 176 patients were ...