Application of artificial intelligence in orthodontics: current state and future perspectives
J Liu, C Zhang, Z Shan - Healthcare, 2023 - mdpi.com
In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …
transformative force in multiple domains, including orthodontics. This review aims to provide …
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …
image analysis. This paper aims to highlight the importance of deep learning architectures in …
Dung beetle optimization with deep feature fusion model for lung cancer detection and classification
Simple Summary Medical imaging devices can be vital in primary-stage lung tumor analysis
and the observation of lung tumors from the treatment. Many medical imaging modalities like …
and the observation of lung tumors from the treatment. Many medical imaging modalities like …
Exploring local explanation of practical industrial AI applications: A systematic literature review
In recent years, numerous explainable artificial intelligence (XAI) use cases have been
developed, to solve numerous real problems in industrial applications while maintaining the …
developed, to solve numerous real problems in industrial applications while maintaining the …
Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
MF Ijaz, M Woźniak - Cancers, 2024 - mdpi.com
In the evolving landscape of medical imaging, the escalating need for deep-learning
methods takes center stage, offering the capability to autonomously acquire abstract data …
methods takes center stage, offering the capability to autonomously acquire abstract data …
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …
techniques to anticipate results more effectively without human involvement. Since AI …
The prevalence of prostate cancer in Pakistan: A systematic review and meta-analysis
Background Prostate cancer is a significant public health issue, ranking as the second most
common cancer and the fifth leading cause of cancer-related deaths in men. In Pakistan, the …
common cancer and the fifth leading cause of cancer-related deaths in men. In Pakistan, the …
[HTML][HTML] Exploring explainable AI features in the vocal biomarkers of lung disease
Z Chen, N Liang, H Li, H Zhang, H Li, L Yan… - Computers in Biology …, 2024 - Elsevier
This review delves into the burgeoning field of explainable artificial intelligence (XAI) in the
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …
detection and analysis of lung diseases through vocal biomarkers. Lung diseases, often …
[HTML][HTML] A Comprehensive Review of Explainable AI for Disease Diagnosis
AA Biswas - Array, 2024 - Elsevier
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …
[PDF][PDF] Artificial Intelligence and Machine Learning in Integrated Diagnostic
L Milan - Integrated Diagnostics and Theranostics of Thyroid …, 2023 - library.oapen.org
2.1 Background High-quality patient care relies on the delivery of high-quality and
comprehensive medical treatments, meeting the needs of each patient. It comprises a wide …
comprehensive medical treatments, meeting the needs of each patient. It comprises a wide …