AIMC Topic: Humans

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Towards bi-directional skip connections in encoder-decoder architectures and beyond.

Medical image analysis
U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks. Many recent approaches have also extended U-Net with more complex building blocks, which typically increa...

A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy.

Medical physics
PURPOSE: Recent studies have shown that severe depletion of the absolute lymphocyte count (ALC) induced by radiation therapy (RT) has been associated with poor overall survival of patients with many solid tumors. In this paper, we aimed to predict ra...

Classification of breast cancer with deep learning from noisy images using wavelet transform.

Biomedizinische Technik. Biomedical engineering
In this study, breast cancer classification as benign or malignant was made using images obtained by histopathological procedures, one of the medical imaging techniques. First of all, different noise types and several intensities were added to the im...

Leveraging artificial intelligence to improve people's planning strategies.

Proceedings of the National Academy of Sciences of the United States of America
SignificanceMany bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people...

PlatypOUs-A Mobile Robot Platform and Demonstration Tool Supporting STEM Education.

Sensors (Basel, Switzerland)
Given the rising popularity of robotics, student-driven robot development projects are playing a key role in attracting more people towards engineering and science studies. This article presents the early development process of an open-source mobile ...

Investigating the Impact of Information Sharing in Human Activity Recognition.

Sensors (Basel, Switzerland)
The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones during data collection. This study utilized a public domain dataset that was specifically collected to include variations in smartphone positioning. A...

A neurotechnological aid for semi-autonomous suction in robotic-assisted surgery.

Scientific reports
Adoption of robotic-assisted surgery has steadily increased as it improves the surgeon's dexterity and visualization. Despite these advantages, the success of a robotic procedure is highly dependent on the availability of a proficient surgical assist...

Grasping learning, optimization, and knowledge transfer in the robotics field.

Scientific reports
Service robotics is a fast-developing sector, requiring embedded intelligence into robotic platforms to interact with the humans and the surrounding environment. One of the main challenges in the field is robust and versatile manipulation in everyday...

A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.

BMC medical imaging
BACKGROUND: Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology is usual...

Metabolically efficient walking assistance using optimized timed forces at the waist.

Science robotics
The metabolic rate of walking can be reduced by applying a constant forward force at the center of mass. It has been shown that the metabolically optimal constant force magnitude minimizes propulsion ground reaction force at the expense of increased ...