Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: a systematic review and meta-analysis

A Nowroozi, MA Salehi, P Shobeiri, S Agahi… - Clinical Radiology, 2024 - Elsevier
Purpose Fracture detection is one of the most commonly used and studied aspects of
artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed …

Deep learning-based classification of dental disease using X-rays

MA Hasnain, S Ali, H Malik, M Irfan… - Journal of Computing & …, 2023 - jcbi.org
Dental radiography is crucial for diagnosis, treatment, and quality assessment in dentistry.
To enhance clinical quality, digitalized dental X-ray image analysis systems have been …

Predicting the Metastasis Ability of Prostate Cancer using Machine Learning Classifiers

A Naeem, AH Khan, S u din Ayubi, H Malik - Journal of Computing & …, 2023 - jcbi.org
Patients with prostate cancer (PCA) are more vulnerable to metastasis, which is the
disease's most devastating result and the primary reason for mortality. It is still not possible …

Semantic segmentation for tooth cracks using improved DeepLabv3+ model

Z **e, Q Lu, J Guo, W Lin, G Ge, Y Tang, D Pasini… - Heliyon, 2024 - cell.com
Objective Accurate and prompt detection of cracked teeth plays a critical role for human oral
health. The aim of this paper is to evaluate the performance of a tooth crack segmentation …

BoneNet: Human Bone Fractures Localizing and Diagnosing using Hybrid Neural Network

OK Pal, NA Danmusa, HD Yusuff - 2024 10th International …, 2024 - ieeexplore.ieee.org
The BoneNet model represents a significant advancement in medical imaging, particularly in
Diagnosing bone fractures. The approach utilizes several pre-processing methods, such as …

深度学**在骨折诊断中的应用综述.

冯珂, 史亚庆 - Journal of Computer Engineering & …, 2024 - search.ebscohost.com
深度学**辅助诊断是减少临床中骨折漏诊误诊的有效方法. 目前, 深度学**在骨折诊断中的研究
成果较多, 但缺少对该领域研究现状进行总结分析的综述性文章. 对领域内现有的文献进行总结; …