AIMC Journal:
Scientific reports
Showing 781 to 790 of 5361 articles
Development and validation of automated three-dimensional convolutional neural network model for acute appendicitis diagnosis.
Scientific reports
Mar 5, 2025
Rapid, accurate preoperative imaging diagnostics of appendicitis are critical in surgical decisions of emergency care. This study developed a fully automated diagnostic framework using a 3D convolutional neural network (CNN) to identify appendicitis ...
Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed.
Scientific reports
Mar 5, 2025
Long short-term memory (LSTM) networks are widely used in biomechanical data analysis but have the significant limitations in interpretability and decision transparency. Combining graph neural networks (GNN) with gate recurrent units (GRU) may offer ...
Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning.
Scientific reports
Mar 5, 2025
Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while...
Classifying metro drivers' cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination.
Scientific reports
Mar 4, 2025
Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during manual driving. However, identifying metro drivers' cognitive distractions faces challenges as generally no obvious behavior can be found during the ...
Differential effects of robot's touch on perceived emotions and the feeling of Kawaii in adults and seniors.
Scientific reports
Mar 4, 2025
Using social robots is a promising approach for supporting senior citizens in the context of super-aging societies. The essential design factors for achieving socially acceptable robots include effective emotional expressions and cuteness. Past studi...
Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment.
Scientific reports
Mar 4, 2025
Posttraumatic stress disorder (PTSD) is a complex mental health condition triggered by exposure to traumatic events that leads to physical health problems and socioeconomic impairments. Although the complex symptomatology of PTSD makes diagnosis diff...
Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model.
Scientific reports
Mar 4, 2025
In the rapidly evolving field of healthcare, Artificial Intelligence (AI) is increasingly driving the promotion of the transformation of traditional healthcare and improving medical diagnostic decisions. The overall goal is to uncover emerging trends...
Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning.
Scientific reports
Mar 4, 2025
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to offer patient/user-related services that are ubiquitous and personalized. The authorized repository stores ubiquitous data for which access-level securit...
Machine learning aided UV absorbance spectroscopy for microbial contamination in cell therapy products.
Scientific reports
Mar 4, 2025
We demonstrate the feasibility of machine-learning aided UV absorbance spectroscopy for in-process microbial contamination detection during cell therapy product (CTP) manufacturing. This method leverages a one-class support vector machine to analyse ...
Breast cancer prediction based on gene expression data using interpretable machine learning techniques.
Scientific reports
Mar 4, 2025
Breast cancer remains a global health burden, with an increase in deaths related to this particular cancer. Accurately predicting and diagnosing breast cancer is important for treatment development and survival of patients. This study aimed to accura...
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