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Articles by Lin CT
Automated Machine Learning with Radiomics for Predicting Chronicity of Pulmonary Nodules in Patients with Nontuberculous Mycobac • APPLIED RADIOLOGY
SHARE FacebookTwitterCopy UrlEmail Copy By Mehta TI, Heiberger C, Lancaster A, Umair M, Oncel D, Bai H, Lin CT Abstract Objective and Hypothesis:This study aimed to create a machine learning model to differentiate acute and chronic pulmonary nodules using radiomics-based analysis. Distinguishing between acute and chronic nodules on computed tomography (CT) is essential for patient management but remains challenging due to absence of standardized imaging criteria.
Anti-Aging Constituents from Pinus morrisonicola Leaves
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Long-term patient-reported donor-site morbidity after free peroneal fasciocutaneous flap in head and neck reconstruction
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Comparative effectiveness of generic commercial versus locally customized clinical decision support tools to reduce prescription of nonsteroidal anti-inflammatory drugs for patients with heart failure - PubMed
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Use of ChatGPT, GPT-4, and Bard to Improve Readability of ChatGPT's Answers to Common Questions on Lung Cancer and Lung Cancer Screening
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Salvage surgeries for splanchnic artery aneurysms after failed endovascular therapy - case series
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Obesity Affects Short-Term Renal Function After Renal Transplantation
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Increased absolute lymphocyte count, increased absolute neutrophil count and low platelet to lymphocyte ratio as predicting factors in the superior disease control of refractory/relapsing gynecologic malignancies with anti PD-1 therapy: 10 years of experi
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