AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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The research of touch screen usability in civil aircraft cockpit.

PloS one
With the advancement of touch screen technology, the application of touch screens in civil aircraft cockpits has become increasingly popular. However, further analysis and research are required to fully promote its applications. The paper researched ...

Usability study of a smart transfer-assistive robot with dual arms for care workers.

Disability and rehabilitation. Assistive technology
PURPOSE: The predicted global labor shortages and health problems for long-term care workers can be addressed by care robots. We have developed a smart transfer-assistive robot with dual arms to assist in patient transfers. This study aims to evaluat...

Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network.

Sensors (Basel, Switzerland)
Fatigue of miners is caused by intensive workloads, long working hours, and shift-work schedules. It is one of the major factors increasing the risk of safety problems and work mistakes. Examining the detection of miner fatigue is important because i...

Artificial intelligence for triaging of breast cancer screening mammograms and workload reduction: A meta-analysis of a deep learning software.

Journal of medical screening
OBJECTIVE: Deep learning (DL) has shown promising results for improving mammographic breast cancer diagnosis. However, the impact of artificial intelligence (AI) on the breast cancer screening process has not yet been fully elucidated in terms of pot...

DEPICTER: Deep representation clustering for histology annotation.

Computers in biology and medicine
Automatic segmentation of histopathology whole-slide images (WSI) usually involves supervised training of deep learning models with pixel-level labels to classify each pixel of the WSI into tissue regions such as benign or cancerous. However, fully s...

A systematic literature review of computer vision-based biomechanical models for physical workload estimation.

Ergonomics
Ergonomic risks, driven by strenuous physical demands in complex work settings, are prevalent across industries. Addressing these challenges through detailed assessment and effective interventions enhances safety and employee well-being. Proper and t...

Investigating mental workload caused by NDRTs in highly automated driving with deep learning.

Traffic injury prevention
OBJECTIVE: This study aimed to examine the impact of non-driving-related tasks (NDRTs) on drivers in highly automated driving scenarios and sought to develop a deep learning model for classifying mental workload using electroencephalography (EEG) sig...

Imagine there is no paperwork… it's easy if you try.

The British journal of radiology
Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologists (a potential threat) to an efficient paperwork-saving time assistant (an evident strength). Nowad...

Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human-robot collaboration.

Journal of neural engineering
. Brain-computer interface (BCI) technology is poised to play a prominent role in modern work environments, especially a collaborative environment where humans and machines work in close proximity, often with physical contact. In a physical human rob...