Application of artificial intelligence technology in the field of orthopedics: a narrative review

P Liu, J Zhang, S Liu, T Huo, J He, M Xue… - Artificial Intelligence …, 2024 - Springer
Artificial intelligence (AI) was a new interdiscipline of computer technology, mathematic,
cybernetics and determinism. These years, AI had obtained a significant development by the …

Systematic comparison of semi-supervised and self-supervised learning for medical image classification

Z Huang, R Jiang, S Aeron… - Proceedings of the …, 2024 - openaccess.thecvf.com
In typical medical image classification problems labeled data is scarce while unlabeled data
is more available. Semi-supervised learning and self-supervised learning are two different …

Whole-body MRI in oncology: A comprehensive review

SS Vulasala, M Virarkar, N Karbasian… - Clinical Imaging, 2024 - Elsevier
Abstract Whole-Body Magnetic Resonance Imaging (WB-MRI) has cemented its position as
a pivotal tool in oncological diagnostics. It offers unparalleled soft tissue contrast resolution …

The efficacy of machine learning models in lung cancer risk prediction with explainability

RK Pathan, IJ Shorna, MS Hossain, MU Khandaker… - Plos one, 2024 - journals.plos.org
Among many types of cancers, to date, lung cancer remains one of the deadliest cancers
around the world. Many researchers, scientists, doctors, and people from other fields …

Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis

JM Rich, LN Bhardwaj, A Shah, K Gangal… - Frontiers in …, 2023 - frontiersin.org
Introduction Image segmentation is an important process for quantifying characteristics of
malignant bone lesions, but this task is challenging and laborious for radiologists. Deep …

Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges

M Afnouch, F Bougourzi, O Gaddour… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, Artificial Intelligence (AI) has been widely used in medicine, particularly in
the analysis of medical imaging, which has been driven by advances in computer vision and …

Accuracy of Artificial Intelligence in Detecting Tumor Bone Metastasis: A Systematic Review and Meta-Analysis

H Tao, X Hui, Z Zhang, Z Fu, P Wang, S Zhou… - Available at SSRN … - papers.ssrn.com
Background: In recent years, artificial intelligence (AI) technology has emerged as a
promising adjunctive tool for radiologists in detecting Bone metastasis (BM). Objective: To …