AI Medical Compendium Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine

Showing 41 to 50 of 236 articles

Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...

A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, and behavioral difficulties. Diagnostic methods mostly rely on subjective evaluations and can lack objectivity. In this research Machine learning (ML) a...

Gastrointestinal tract disease detection via deep learning based structural and statistical features optimized hexa-classification model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Gastrointestinal tract (GIT) diseases impact the entire digestive system, spanning from the mouth to the anus. Wireless Capsule Endoscopy (WCE) stands out as an effective analytic instrument for Gastrointestinal tract diseases. Neverthele...

CNN-based glioma detection in MRI: A deep learning approach.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: More than a million people are affected by brain tumors each year; high-grade gliomas (HGGs) and low-grade gliomas (LGGs) present serious diagnostic and treatment hurdles, resulting in shortened life expectancies. Glioma segmentation is s...

Mental fatigue recognition study based on 1D convolutional neural network and short-term ECG signals.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one of the important causes of social transportation, production and life accidents.

Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive...

Experience in psychological counseling supported by artificial intelligence technology.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: In recent years, artificial intelligence (AI) technology has been continuously advancing and finding extensive applications, with one of its core technologies, machine learning, being increasingly utilized in the field of healthcare.

TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Due to the increasing prevalence of respiratory diseases and the importance of early diagnosis. The need for non-invasive and touchless medical diagnostic solutions has become increasingly crucial in modern healthcare to detect lung abnor...

Diagnostic performance of machine-learning algorithms for sepsis prediction: An updated meta-analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Early identification of sepsis has been shown to significantly improve patient prognosis.

Forecasting deep learning-based risk assessment of vector-borne diseases using hybrid methodology.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Dengue fever is rapidly becoming Malaysia's most pressing health concern, as the reported cases have nearly doubled over the past decade. Without efficacious antiviral medications, vector control remains the primary strategy for battling ...