AIMC Topic: Bone Neoplasms
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Automatic detecting multiple bone metastases in breast cancer using deep learning based on low-resolution bone scan images.
Scientific reports
Mar 6, 2025
Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and comprehensive bone metastases of breast cancer. WBS images with breast cancer bone metastasis have the characteristics of low resolution, small foregrou...
Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.
BMC cancer
Feb 18, 2025
BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial intelligence (AI) has emerged as a valuable tool to assist radiologis...
CT-Less Whole-Body Bone Segmentation of PET Images Using a Multimodal Deep Learning Network.
IEEE journal of biomedical and health informatics
Feb 10, 2025
In bone cancer imaging, positron emission tomography (PET) is ideal for the diagnosis and staging of bone cancers due to its high sensitivity to malignant tumors. The diagnosis of bone cancer requires tumor analysis and localization, where accurate a...
Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.
Scientific reports
Dec 28, 2024
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transc...
Machine learning-based selection of immune cell markers in osteosarcoma: prognostic determination and validation of CLK1 in disease progression.
Frontiers in immunology
Dec 17, 2024
INTRODUCTION: Osteosarcoma (OS) is a malignancy of the bone that mainly afflicts younger individuals. Despite existing treatment approaches, patients with metastatic or recurrent disease generally face poor prognoses. A greater understanding of the t...
Bone Neoplasms
Biomarkers, Tumor
Protein-Tyrosine Kinases
Lymphocytes, Tumor-Infiltrating
DNA Copy Number Variations
Protein Serine-Threonine Kinases
Osteosarcoma
Male
Prognosis
Cell Line, Tumor
Humans
Female
Disease Progression
Gene Expression Regulation, Neoplastic
Machine Learning
Tumor Microenvironment
Cell Proliferation
Automated Bone Cancer Detection Using Deep Learning on X-Ray Images.
Surgical innovation
Dec 16, 2024
In recent days, bone cancer is a life-threatening health issue that can lead to death. However, physicians use CT-scan, X-rays, or MRI images to recognize bone cancer, but still require techniques to increase precision and reduce human labor. These m...
BMSMM-Net: A Bone Metastasis Segmentation Framework Based on Mamba and Multiperspective Extraction.
Academic radiology
Nov 30, 2024
RATIONALE AND OBJECTIVES: Metastatic bone tumors significantly reduce patients' quality of life and expedite cancer spread. Traditional diagnostic methods rely on time-consuming manual annotations by radiologists, which are prone to subjectivity. Emp...
Automated detection of bone lesions using CT and MRI: a systematic review.
La Radiologia medica
Nov 6, 2024
PURPOSE: The aim of this study was to systematically review the use of automated detection systems for identifying bone lesions based on CT and MRI, focusing on advancements in artificial intelligence (AI) applications.
Assessment of Artificial Intelligence Chatbot Responses to Common Patient Questions on Bone Sarcoma.
Journal of surgical oncology
Oct 29, 2024
BACKGROUND AND OBJECTIVES: The potential impacts of artificial intelligence (AI) chatbots on care for patients with bone sarcoma is poorly understood. Elucidating potential risks and benefits would allow surgeons to define appropriate roles for these...
Optimized deep learning networks for accurate identification of cancer cells in bone marrow.
Neural networks : the official journal of the International Neural Network Society
Oct 18, 2024
Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans to diagnose bone cancer. Manual methods are labor-intensive and may need specialized knowledge. As a result, creating an automated process for disting...
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