Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung.
Sign Up to like & getrecommendations! Published in 2024 at "ACS nano"
DOI: 10.1021/acsnano.3c07217
Abstract: Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish)… read more here.
Keywords: classification; small nodules; machine learning; protein ... See more keywords
Leveraging Artificial Intelligence to Transform Thoracic Radiology for Lung Nodules and Lung Cancer: Applications, Challenges, and Future Directions.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of thoracic imaging"
DOI: 10.1097/rti.0000000000000866
Abstract: This review traces the historical path of artificial intelligence (AI) methods that have been applied to medical image interpretation. Early AI approaches, which were based on clinical expertise and domain-specific medical knowledge, established the basis… read more here.
Keywords: lung; lung cancer; lung nodules; nodules lung ... See more keywords
Tumour-pleura relationship on computed tomography (CT) provides effective risk stratification for peripheral pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) score of 4X
Sign Up to like & getrecommendations! Published in 2024 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-24-530
Abstract: Background Pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) 4X are of greater clinical significance, and accurate differentiation of pathological types and visceral pleural invasion (VPI) of Lung-RADS 4X peripheral pulmonary nodules before… read more here.
Keywords: peripheral pulmonary; stratification; lung rads; nodules lung ... See more keywords