Application of Artificial Intelligence in Radiological Image Analysis for Pulmonary Disease Diagnosis: A Review of Current Methods and Challenges
Introduction and purpose Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), is revolutionizing radiology by improving diagnostic accuracy and efficiency. This paper examines AI applications, especially convolutional neural networks (CNNs), in diagnosing pulmona...
Saved in:
Main Authors: | Karolina Zalewa, Joanna Olszak, Wojciech Kapłan, Dominika Orłowska, Lidia Bartoszek, Marta Kaus, Natalia Klepacz |
---|---|
Format: | Article |
Language: | English |
Published: |
Kazimierz Wielki University
2025-01-01
|
Series: | Journal of Education, Health and Sport |
Subjects: | |
Online Access: | https://apcz.umk.pl/JEHS/article/view/56893 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Brain Stimulation in the treatment of disorders of consciousness
by: Joanna Olszak, et al.
Published: (2025-02-01) -
Complications after endoscopic spine surgery - risk factors and preventive strategies
by: Joanna Olszak, et al.
Published: (2025-01-01) -
The utility of artificial intelligence in identifying radiological evidence of lung cancer and pulmonary tuberculosis in a high-burden tuberculosis setting
by: Z Z Nxumalo, et al.
Published: (2024-05-01) -
Application of artificial intelligence in modern weapon systems - opportunities and threats in armed conflicts
by: Zbigniew Małodobry, et al.
Published: (2024-12-01) -
Professional Development of University Educators in Artificial Intelligence: Current State
by: R. Z. Elsakova, et al.
Published: (2024-12-01)