AIMC Topic: Humans

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Enhancing pedagogical practices with Artificial Neural Networks in the age of AI to engage the next generation in Biomathematics.

Bulletin of mathematical biology
In this work we present a C-MATH-NN framework that extends a C-MATH framework that was developed in recent years to include prediction using artificial neural networks (NN) in a way that is engaging, interdisciplinary and collaborative to help equip ...

Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling.

BMC public health
BACKGROUND: Although the Screen for Child Anxiety Related Emotional Disorders (SCARED) is a widely used tool for assessing anxiety, its 41-item format makes it a time-intensive method for identifying children and adolescents at high risk of anxiety. ...

Edge computing with federated learning for early detection of citric acid overdose and adjustment of regional citrate anticoagulation.

BMC medical informatics and decision making
Regional citrate anticoagulation (RCA) is critical for extracorporeal anticoagulation in continuous renal replacement therapy done at the bedside. To make patients' data more secure and to help with computer-based monitoring of dosages, we suggest a ...

Predicting the risk of threatened abortion using machine learning methods: a comparative study.

BMC pregnancy and childbirth
BACKGROUND AND OBJECTIVE: Threatened abortion, a common pregnancy complication that often leading to abortion, is hard to predict due to its non-specific symptoms and difficulty in differentiating from other early pregnancy bleeding causes. Current d...

Comparative evaluation of AI platforms "Google Gemini 2.5 Flash, Google Gemini 2.0 Flash, DeepSeek V3 and ChatGPT 4o" in solving multiple-choice questions from different subtopics of anatomy.

Surgical and radiologic anatomy : SRA
PURPOSE: The rise of artificial intelligence (AI) based large language models (LLMs) had a profound impact on medical education. Given the widespread use of multiple-choice questions (MCQs) in anatomy education, it is likely that such queries are com...

Identification and experimental validation of biomarkers related to mitochondrial and programmed cell death in obsessive-compulsive disorder.

Scientific reports
Background Mitochondrial-related genes (MRGs) and programmed cell death-related genes (PCD-RGs) have been proven to play important roles in obsessive-compulsive disorder (OCD), and identifying their shared biomarkers is conducive to the diagnosis and...

Segmentation-enhanced approach for emotion detection from EEG signals using the fuzzy C-mean and SVM.

Scientific reports
The analysis of EEG signals for determining emotion is one of the most important topics in the field of artificial intelligence. It can be applied in a wide variety of areas, such as emotional health care and the man/machine interface. The purpose of...

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection.

Scientific reports
Melanoma, influenced by changes in deoxyribonucleic acid (DNA), requires early detection for effective treatment. Traditional melanoma research often employs supervised learning methods, which necessitate large, labeled datasets and are sensitive to ...

A model for epileptic EEG detection and recognition based on Multi-Attention mechanism and Spatiotemporal.

Scientific reports
In the field of neuroscience, epilepsy is a chronic non-communicable brain disease that affects approximately 50 million people worldwide. Electroencephalography (EEG) has become a key tool in detecting and characterizing human neurological diseases ...

An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors.

Scientific data
Retinal fundus photographs are now widely used in developing artificial intelligence (AI) systems for the detection of various fundus diseases. However, the application of AI algorithms in intraocular tumors remains limited due to the scarcity of lar...