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JCO Clinical Cancer Informatics|January 7, 2026
Generative Artificial Intelligence Successfully Automates Data Extraction From Unstructured Magnetic Resonance Imaging Reports: Feasibility in Prostate Cancer CareAnobel Y Odisho, Andrew W Liu, William A Pace, et al.
JCO Clinical Cancer Informatics|December 23, 2025
Dynamic Mortality Risk Prediction in Myelodysplastic Syndromes Using Longitudinal Clinical DataJonathan Bobak, Philipp Spohr, Sarah Richter, et al.
JCO Clinical Cancer Informatics|January 8, 2026
ClinBioNGS: A Clinical Bioinformatics Pipeline for Integrated Analysis of Somatic Next-Generation Sequencing Cancer PanelsRaúl Marín, Ania Alay, Maria Ajenjo-Bauza, et al.
JCO Clinical Cancer Informatics|December 23, 2025
Geospatial Analysis of Commission on Cancer-Accredited Centers Within Cancer Care Utilization-Based Catchment AreasNicole Rademacher, Connor Sisk, Joshua S Richman, et al.
JCO Clinical Cancer Informatics|April 4, 2025
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer CareRichard M Brohet, Elianne C S de Boer, Joram M Mossink, et al.
JCO Clinical Cancer Informatics|May 21, 2025
Telehealth and Emergency Department Use Among Commercially Insured, Medicaid, and Medicare Patients Receiving Systemic Cancer Therapy in Washington State After COVID-19Scott D Ramsey, Qin Sun, Catherine R Fedorenko, et al.
JCO Clinical Cancer Informatics|May 19, 2025
Use of Large Language Models in Clinical Cancer ResearchKenneth L Kehl
JCO Clinical Cancer Informatics|May 5, 2025
Timing and Method of Patient-Provider Communication for Abnormal Hepatocellular Carcinoma Screening Results in CirrhosisJeremy Louissaint, Beverly Kyalwazi, John Deng, et al.
JCO Clinical Cancer Informatics|May 2, 2025
Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLettersAdel Shahnam, Udit Nindra, Nadia Hitchen, et al.
JCO Clinical Cancer Informatics|April 25, 2025
Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC StudyMasaki Shiota, Shota Nemoto, Ryo Ikegami, et al.
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