AIMC Topic: Humans

Clear Filters Showing 1201 to 1210 of 95995 articles

A low-latency neural inference framework for real-time handwriting recognition from EEG signals on an edge device.

Scientific reports
Brain-computer interfaces (BCIs) hold significant promise for restoring communication in individuals with severe motor or speech impairments. Imagined handwriting, as a form of motor imagery, offers an intuitive paradigm for character-level neural de...

A novel approach of developing machine learning based models for the prediction of facial dimensions from dental parameters.

Scientific reports
Personal identification of an individual has always been a major concern in forensic science. Reconstruction of the facial profile is considered as one of the final stages in the process of identification. Nevertheless, recent advancements in artific...

Identification of IL1R1 as a potential key PANoptosis-related gene in myocardial ischemia-reperfusion injury using machine learning.

Scientific reports
Myocardial ischemia-reperfusion injury (MIRI) involves multifaceted pathogenic mechanisms, including inflammatory responses, immune dysregulation, and emerging forms of programmed cell death such as PANoptosis. However, the precise regulatory genes l...

Automated tumor stroma ratio assessment in colorectal cancer using hybrid deep learning approach.

Scientific reports
The Tumor-Stroma Ratio (TSR) is a critical prognostic factor in colorectal cancer (CRC), offering insights into tumor microenvironment interactions. However, traditional TSR assessment methods are subjective and labor-intensive. This study is among t...

Engagement patterns of middle school students with AI teachable agents in mathematics learning.

Scientific reports
 This study investigates how secondary students engage with an AI teachable agent (TA) during mathematics learning, with particular focus on learners whose performance declined after interacting with the TA system. Using a mixed-methods design, we an...

The MIND model a microlearning AI-integrated instructional design for enhanced learning outcomes.

Scientific reports
In recent years, microlearning has gained significant attention due to technological advancements such as generative AI (GenAI), diverse learner needs, and a growing emphasis on improving learning outcomes. However, designing effective microlearning ...

An Integrated Dataset of Metastatic Breast Cancer to the Brain with Imaging, Radiomics, and Tumor Genetics.

Scientific data
This study introduces a unique magnetic resonance imaging dataset focusing on metastatic breast cancer to the brain, a significant clinical challenge in cancer treatment. Comprising 297 T1-weighted post-contrast images from 165 patients, this dataset...

ChatGPT does not replicate human moral judgments: the importance of examining metrics beyond correlation to assess agreement.

Scientific reports
The rise of generative artificial intelligence has prompted claims that large language models (LLMs) can substitute for human participants, particularly in moral judgment tasks where correlations between ChatGPT and humans approach r = 1.00. In respo...

Predicting proximal junctional failure in adult spinal deformity patients using machine learning models based on spinal alignment parameters.

Scientific reports
Proximal junctional failure (PJF) is a significant mechanical complication following corrective surgery for adult spinal deformity (ASD), often resulting in structural failure at the uppermost instrumented vertebra and necessitating revision surgery....

Constructing a sixteen lactate-related gene risk signature for LUAD to predict the prognosis and TME by machine learning.

Scientific reports
Although it is the most common subtype of lung cancer in clinical practice, lung adenocarcinoma (LUAD) was proven to be associated with a poor prognosis. In recent years, lactate metabolism has been considered an important biological mechanism in lun...