Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art

A Garavand, A Behmanesh, N Aslani… - … Journal of Intelligent …, 2023 - Wiley Online Library
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …

A fast and efficient CNN model for B‐ALL diagnosis and its subtypes classification using peripheral blood smear images

M Ghaderzadeh, M Aria, A Hosseini… - … Journal of Intelligent …, 2022 - Wiley Online Library
The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …

Efficient model for coronary artery disease diagnosis: a comparative study of several machine learning algorithms

A Garavand, C Salehnasab… - Journal of …, 2022 - Wiley Online Library
Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

[HTML][HTML] Artificial intelligence techniques that may be applied to primary care data to facilitate earlier diagnosis of cancer: systematic review

OT Jones, N Calanzani, S Saji, SW Duffy… - Journal of medical …, 2021 - jmir.org
Background More than 17 million people worldwide, including 360,000 people in the United
Kingdom, were diagnosed with cancer in 2018. Cancer prognosis and disease burden are …

Disulfidptosis-associated lncRNAs predict breast cancer subtypes

Q **a, Q Yan, Z Wang, Q Huang, X Zheng, J Shen… - Scientific Reports, 2023 - nature.com
Disulfidptosis is a newly discovered mode of cell death. However, its relationship with breast
cancer subtypes remains unclear. In this study, we aimed to construct a disulfidptosis …

Neonatal disease prediction using machine learning techniques

YG Robi, TM Sitote - Journal of healthcare engineering, 2023 - Wiley Online Library
Neonatal diseases are among the main causes of morbidity and a significant contributor to
underfive mortality in the world. There is an increase in understanding of the …

Automated detection model in classification of B‐lymphoblast cells from normal B‐lymphoid precursors in blood smear microscopic images based on the majority …

M Ghaderzadeh, A Hosseini, F Asadi… - Scientific …, 2022 - Wiley Online Library
Introduction. Acute lymphoblastic leukemia (ALL) is the most common type of leukemia, a
deadly white blood cell disease that impacts the human bone marrow. ALL detection in its …

[HTML][HTML] AI-enhanced predictive modeling for identifying depression and delirium in cardiovascular patients scheduled for cardiac surgery

K Nowakowska, A Sakellarios, J Kaźmierski… - Diagnostics, 2023 - mdpi.com
Several studies have demonstrated a critical association between cardiovascular disease
(CVD) and mental health, revealing that approximately one-third of individuals with CVD …

Advancing acceptance: assessing acceptance of the ESR iGuide clinical decision support system for improved computed tomography test justification

C Singer, O Luxenburg, S Rosen, S Vaknin… - Frontiers in …, 2023 - frontiersin.org
Background A clinical decision support system (CDSS), the European Society of
Radiologists (ESR) iGuide, was developed to address gaps in the availability and use of …

Novel methods of ai-based gait analysis in post-stroke patients

I Rojek, P Prokopowicz, J Dorożyński, D Mikołajewski - Applied Sciences, 2023 - mdpi.com
Featured Application Potential applications of the findings presented in this article include
low-cost, fast, and simple gait analysis systems for use by primary care physicians …