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 …

[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review

M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …

Lightweight EfficientNetB3 model based on depthwise separable convolutions for enhancing classification of leukemia white blood cell images

A Batool, YC Byun - IEEE access, 2023 - ieeexplore.ieee.org
Acute lymphoblastic leukemia (ALL) is a type of leukemia cancer that arises due to the
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …

Efficient framework for detection of COVID‐19 omicron and delta variants based on two intelligent phases of CNN models

M Ghaderzadeh, MA Eshraghi, F Asadi… - … Methods in Medicine, 2022 - Wiley Online Library
Introduction. While the COVID‐19 pandemic was waning in most parts of the world, a new
wave of COVID‐19 Omicron and Delta variants in Central Asia and the Middle East caused …

A deep multimodal network for multi-task trajectory prediction

D Lei, M Xu, S Wang - Information Fusion, 2025 - Elsevier
Addressing the complexity of multi-task trajectory prediction, this study introduces a novel
Deep Multimodal Network (DMN), which integrates a shared feature extractor and a multi …

Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

M Sallam, K Al-Mahzoum, O Alshuaib, H Alhajri… - BMC Infectious …, 2024 - Springer
Background Assessment of artificial intelligence (AI)-based models across languages is
crucial to ensure equitable access and accuracy of information in multilingual contexts. This …

Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature

OP Chatzipanagiotou, C Loukas… - Journal of …, 2024 - Wiley Online Library
Abstract Background and Aim Hepatocellular carcinoma (HCC) diagnosis mainly relies on
its pathognomonic radiological profile, obviating the need for biopsy. The project of …

Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification

K Suresh Kumar, AS Radha Mani… - Applied Artificial …, 2024 - Taylor & Francis
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector
Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially …

A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia

A Saeed, S Shoukat, K Shehzad, I Ahmad… - Electronics, 2022 - mdpi.com
Leukemia is a deadly disease caused by the overproduction of immature white blood cells
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …

Fungal skin disease classification using the convolutional neural network

TD Nigat, TM Sitote, BM Gedefaw - Journal of Healthcare …, 2023 - Wiley Online Library
Skin is the outer cover of our body, which protects vital organs from harm. This important
body part is often affected by a series of infections caused by fungus, bacteria, viruses …