The role of artificial intelligence in early cancer diagnosis

B Hunter, S Hindocha, RW Lee - Cancers, 2022 - mdpi.com
Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

An optimized framework for breast cancer classification using machine learning

E Michael, H Ma, H Li, S Qi - BioMed Research International, 2022 - Wiley Online Library
Breast cancer, if diagnosed and treated early, has a better chance of surviving. Many studies
have shown that a larger number of ultrasound images are generated every day, and the …

Optimal deep learning based fusion model for biomedical image classification

RF Mansour, NM Alfar, S Abdel‐Khalek… - Expert …, 2022 - Wiley Online Library
Automated examination of biomedical signals plays a vital role to diagnose diseases and
offers useful data to several applications in the areas of physiology, sports medicine, and …

Predicting the recurrence of breast cancer using machine learning algorithms

A Alzu'bi, H Najadat, W Doulat, O Al-Shari… - Multimedia Tools and …, 2021 - Springer
Breast cancer is one of the most common types of cancer among Jordanian women.
Recently, healthcare organizations in Jordan have adopted electronic health records, which …

Risk prediction for early chronic kidney disease: results from an adult health examination program of 19,270 individuals

CC Shih, CJ Lu, GD Chen, CC Chang - International Journal of …, 2020 - mdpi.com
Developing effective risk prediction models is a cost-effective approach to predicting
complications of chronic kidney disease (CKD) and mortality rates; however, there is …

Hybrid Elman neural network and an invasive weed optimization method for bridge defect recognition

E Mohammed Abdelkader, O Moselhi… - Transportation …, 2021 - journals.sagepub.com
Existing bridges are aging and deteriorating, raising concerns for public safety and the
preservation of these valuable assets. Furthermore, the transportation networks that manage …

Entropy-based automated method for detection and assessment of spalling severities in reinforced concrete bridges

E Mohammed Abdelkader, O Moselhi… - … of Performance of …, 2021 - ascelibrary.org
Existing bridges are aging and deteriorating rapidly, elevating concerns for public safety and
preservation of these valuable assets. Large numbers of bridges exist in transportation …

The risk factors determined by four machine learning methods for the change of difference of bone mineral density in post-menopausal women after three years follow …

CY Chang, CH Peng, FY Chen, LY Huang, CH Kuo… - Scientific Reports, 2024 - nature.com
The prevalence of osteoporosis has drastically increased recently. It is not only the most
frequent but is also a major global public health problem due to its high morbidity. There are …

Associations between sex and risk factors for predicting chronic kidney disease

HY Kao, CC Chang, CF Chang, YC Chen… - International journal of …, 2022 - mdpi.com
Gender is an important risk factor in predicting chronic kidney disease (CKD); however, it is
under-researched. The purpose of this study was to examine whether gender differences …

[HTML][HTML] Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis

Z Javanmard, SZ Shahraki, K Safari… - Frontiers in …, 2025 - pmc.ncbi.nlm.nih.gov
Background Breast cancer (BC), as a leading cause of cancer mortality in women, demands
robust prediction models for early diagnosis and personalized treatment. Artificial …