AIMC Topic: Humans

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Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography.

Circulation. Cardiovascular imaging
BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine learning model that uses plaque composition data and degree of carotid stenosis to detect symptomatic carotid plaques in patients with carotid athero...

Ensuring food safety by artificial intelligence-enhanced nanosensor arrays.

Advances in food and nutrition research
Current analytical methods utilized for food safety inspection requires improvement in terms of their cost-efficiency, speed of detection, and ease of use. Sensor array technology has emerged as a food safety assessment method that applies multiple c...

[Samii: a robotic mediation application to improve geriatric care].

Soins. Gerontologie
The emergence of social robots in gerontology has introduced new playful and reassuring media into nursing homes and geriatric wards. Despite promising results, their complexity hinders their widespread adoption. The Intelligent Interactive Care Syst...

Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach.

PloS one
The role of macrophages in regulating the tumor microenvironment has spurned the exponential generation of nanoparticle targeting technologies. With the large amount of literature and the speed at which it is generated it is difficult to remain curre...

Quality of science journalism in the age of Artificial Intelligence explored with a mixed methodology.

PloS one
Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, rec...

CAManim: Animating end-to-end network activation maps.

PloS one
Deep neural networks have been widely adopted in numerous domains due to their high performance and accessibility to developers and application-specific end-users. Fundamental to image-based applications is the development of Convolutional Neural Net...

A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection.

PloS one
The Coronavirus Disease 2019(COVID-19) has caused widespread and significant harm globally. In order to address the urgent demand for a rapid and reliable diagnostic approach to mitigate transmission, the application of deep learning stands as a viab...

An optimized deep strategy for recognition and alleviation of DDoS attack in SD-IoT.

Network (Bristol, England)
The attacks like distributed denial-of-service (DDoS) are termed as severe defence issues in data centres, and are considered real network threat. These types of attacks can produce huge disturbances in information technologies. In addition, it is a ...

Large-scale foundation models and generative AI for BigData neuroscience.

Neuroscience research
Recent advances in machine learning have led to revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery. Foundation models and large-scale language models (LLMs) have recently achieved human-l...