首页|National University Hospital Reports Findings in Artificial Intelligence (Oncolo gic Applications of Artificial Intelligence and Deep Learning Methods in CT Spin e Imaging-A Systematic Review)
National University Hospital Reports Findings in Artificial Intelligence (Oncolo gic Applications of Artificial Intelligence and Deep Learning Methods in CT Spin e Imaging-A Systematic Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Singapore, Sing apore, by NewsRx editors, research stated, "In spinal oncology, integrating deep learning with computed tomography (CT) imaging has shown promise in enhancing d iagnostic accuracy, treatment planning, and patient outcomes. This systematic re view synthesizes evidence on artificial intelligence (AI) applications in CT ima ging for spinal tumors." Funders for this research include MOH/NMRC, Singapore, Singapore Ministry of Hea lth National Medical Research Council. Our news journalists obtained a quote from the research from National University Hospital, "A PRISMAguided search identified 33 studies: 12 (36.4% ) focused on detecting spinal malignancies, 11 (33.3%) on classific ation, 6 (18.2%) on prognostication, 3 (9.1%) on treat ment planning, and 1 (3.0%) on both detection and classification. O f the classification studies, 7 (21.2%) used machine learning to di stinguish between benign and malignant lesions, 3 (9.1%) evaluated tumor stage or grade, and 2 (6.1 %) employed radiomics for biomarker classification. Prognostic studies included three (9.1%) that pred icted complications such as pathological fractures and three (9.1%) that predicted treatment outcomes. AI's potential for improving workflow effici ency, aiding decision-making, and reducing complications is discussed, along wit h its limitations in generalizability, interpretability, and clinical integratio n. Future directions for AI in spinal oncology are also explored."
SingaporeSingaporeAsiaArtificial I ntelligenceEmerging TechnologiesMachine Learning
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