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JCO Clinical Cancer Informatics|October 28, 2022
Evaluation of the Clinical Utility of the Bone Metastases Ensemble Trees for Survival Decision Support Platform (BMETS-DSP): A Case-Based Pilot AssessmentSara R Alcorn, Anna W LaVigne, Christen R Elledge, et al.
JCO Clinical Cancer Informatics|October 13, 2022
Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier CasesAbhiraj S Kanse, Nikhil C Kurian, Himanshu P Aswani, et al.
JCO Clinical Cancer Informatics|February 5, 2025
Advancements in Interoperability: Achieving Anatomic Pathology Reports That Adhere to International Standards and Are Both Human-Readable and Readily ComputableWalter S Campbell, Brian A Rous, Stefan Dubois, et al.
JCO Clinical Cancer Informatics|February 10, 2025
Incorporating Structured and Unstructured Data Sources to Identify and Characterize Hereditary Cancer Testing Among Veterans With Metastatic Castration-Resistant Prostate CancerDanielle Candelieri-Surette, Anna Hung, Fatai Y Agiri, et al.
JCO Clinical Cancer Informatics|February 4, 2025
Patient-Reported Outcomes: Comparing Functional Avoidance and Standard Thoracic Radiation Therapy in Lung CancerSpencer J Poiset, Joseph Lombardo, Edward Castillo, et al.
JCO Clinical Cancer Informatics|January 29, 2025
Provision of Radiology Reports Simplified With Large Language Models to Patients With Cancer: Impact on Patient SatisfactionAmit Gupta, Swarndeep Singh, Hema Malhotra, et al.
JCO Clinical Cancer Informatics|January 14, 2025
Validation of Clinical Dynamic Contrast-Enhanced Magnetic Resonance Imaging Perfusion Modeling and Neoadjuvant Chemotherapy Response Prediction in Breast Cancer Using 18FDG and 64Cu-DOTA-Trastuzumab Positron Emission Tomography StudiesJohn Whitman, Vikram Adhikarla, Lusine Tumyan, et al.
JCO Clinical Cancer Informatics|January 20, 2025
Bias in Prediction Models to Identify Patients With Colorectal Cancer at High Risk for Readmission After ResectionMary M Lucas, Mario Schootman, Jonathan A Laryea, et al.
JCO Clinical Cancer Informatics|January 24, 2025
Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal MetastasesJesutofunmi A Fajemisin, John M Bryant, Payman G Saghand, et al.
JCO Clinical Cancer Informatics|January 3, 2025
Explainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung CancerVinayak S Ahluwalia, Ravi B Parikh
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