Artificial intelligence (AI) and machine learning (ML) are becoming vital in laboratory
medicine and the broader context of healthcare. In this review article, we summarized the …

With the use of medical image analysis, Artificial Neural Networks (ANNs) have shown
effective results in the early detection and treatment of pancreatic cancer. A summary of …

The COVID-19 outbreak has led to a rise in respiratory disease-related deaths, including
Chronic Obstructive Pulmonary Disease (COPD). Early diagnosis of COPD is crucial, but it …

The COVID-19 pandemic has a devastating impact globally, claiming millions of lives and
causing significant social and economic disruptions. In order to optimize decision-making …

BACKGROUND It is increasingly common to find patients affected by a combination of type 2
diabetes mellitus (T2DM) and coronary artery disease (CAD), and studies are able to …

An efficient algorithm, Apriori_Goal, is proposed for constructing association rules for a
relational database with a given classification. The algorithm's features are related to the …

In this research, deep learning models were used to diagnose lung cancer automatically
using hospital image data. A dataset with 3,400 lung cancer images from online repositories …

This study introduces an advanced machine learning framework for the accurate diagnosis
of mental illness such as Schizophrenia (SCZ) using Electroencephalogram (EEG) signals …

The difficulties with road accident rates today rank among the top concerns for health and
social policy in nations across the continents. Now-a-days, electroencephalogram (EEG) is …

As funding for mental health research has grown, so too has the body of knowledge about
how best to address and alleviate issues related to mental health. However, there is still a …