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[HTML][HTML] Artificial intelligence in detection, management, and prognosis of bone metastasis: a systematic review
GF Papalia, P Brigato, L Sisca, G Maltese, E Faiella… - Cancers, 2024 - mdpi.com
Simple Summary Bone metastases represent a serious and common challenge in advanced
cancer patients, making early detection crucial. The growing implementation of artificial …
cancer patients, making early detection crucial. The growing implementation of artificial …
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 …
cybernetics and determinism. These years, AI had obtained a significant development by the …
The efficacy of machine learning models in lung cancer risk prediction with explainability
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 …
around the world. Many researchers, scientists, doctors, and people from other fields …
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
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 …
is more available. Semi-supervised learning and self-supervised learning are two different …
[HTML][HTML] Oncologic applications of artificial intelligence and deep learning methods in CT spine imaging—a systematic review
W Ong, A Lee, WC Tan, KTD Fong, DD Lai, YL Tan… - Cancers, 2024 - mdpi.com
Simple Summary In recent years, advances in deep learning have transformed the analysis
of medical imaging, especially in spine oncology. Computed Tomography (CT) imaging is …
of medical imaging, especially in spine oncology. Computed Tomography (CT) imaging is …
[HTML][HTML] Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis
H Tao, X Hui, Z Zhang, R Zhu, P Wang, S Zhou… - BMC …, 2025 - pmc.ncbi.nlm.nih.gov
Background Bone metastases (BM) represent a prevalent complication of tumors. Early and
accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial …
accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial …
Diffusion equation quantification: selective enhancement algorithm for bone metastasis lesions in CT images
Y Anetai, K Doi, H Takegawa, Y Koike… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. Diffusion equation (DE) imaging processing is promising to enhance images
showing lesions of bone metastasis (LBM). The Perona–Malik diffusion (PMD) model, which …
showing lesions of bone metastasis (LBM). The Perona–Malik diffusion (PMD) model, which …
Deep learning image segmentation approaches for malignant bone lesions: a systematic review and meta-analysis
Introduction Image segmentation is an important process for quantifying characteristics of
malignant bone lesions, but this task is challenging and laborious for radiologists. Deep …
malignant bone lesions, but this task is challenging and laborious for radiologists. Deep …
[HTML][HTML] Reducing the workload of medical diagnosis through artificial intelligence: A narrative review
J Jeong, S Kim, L Pan, D Hwang, D Kim, J Choi… - Medicine, 2025 - journals.lww.com
Artificial intelligence (AI) has revolutionized medical diagnostics by enhancing efficiency,
improving accuracy, and reducing variability. By alleviating the workload of medical staff, AI …
improving accuracy, and reducing variability. By alleviating the workload of medical staff, AI …
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges
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 …
the analysis of medical imaging, which has been driven by advances in computer vision and …