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JCO Clinical Cancer Informatics|June 5, 2024
Leveraging Electronic Health Record Data to Understand Gaps Underlying the Underdiagnosis of Lynch SyndromeAsaf Maoz, Matthew B Yurgelun
JCO Clinical Cancer Informatics|May 17, 2024
Automated, High-Throughput Platform to Generate a High-Reliability, Comprehensive Rectal Cancer DatabaseNeal Bhutiani, Mahmoud M G Yousef, Abdelrahman Yousef, et al.
JCO Clinical Cancer Informatics|April 26, 2024
Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome MeasuresZuzanna Wójcik, Vania Dimitrova, Lorraine Warrington, et al.
JCO Clinical Cancer Informatics|January 14, 2026
Knowledge Representation of a Multicenter Adolescent and Young Adult Cancer Infrastructure: Development of the STRONG AYA Knowledge GraphJoshi Hogenboom, Varsha Gouthamchand, Charlotte Cairns, et al.
JCO Clinical Cancer Informatics|January 23, 2026
Causal Cascade of Symptoms on Patient Functioning and Health-Related Quality of Life in Non-Small Cell Lung Cancer and Metastatic Breast CancerDonald E Stull
JCO Clinical Cancer Informatics|January 6, 2026
Artificial Intelligence-Assisted Error Detection in Complex Clinical Documentation: Leveraging Large Language Models to Enhance Patient Safety in OncologyPeter May, Sina Nokodian, Christoph Nuernbergk, et al.
JCO Clinical Cancer Informatics|February 3, 2026
SNF-CLIMEDIN: A Randomized Trial of Digital Support and Intervention in Patients With Advanced Non-Small Cell Lung Cancer. A Hellenic Cooperative Oncology Group StudyParis A Kosmidis, Thanos Kosmidis, Kyriaki Papadopoulou, et al.
JCO Clinical Cancer Informatics|December 1, 2025
SmokeBERT: A Bidirectional Encoder Representations From Transformers-Based Model for Quantitative Smoking History Extraction From Clinical Narratives to Improve Lung Cancer ScreeningYiming Xue, Yunzheng Zhu, Luoting Zhuang, et al.
JCO Clinical Cancer Informatics|November 19, 2025
Informatics Perspectives on the National Cancer Policy Forum Workshop "Enabling 21st Century Applications for Cancer Surveillance Through Enhanced Registries and Beyond"Peter P Yu, W Scott Campbell, Eric B Durbin, et al.
JCO Clinical Cancer Informatics|December 23, 2024
Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic TreatmentLie Cai, Thomas M Deutsch, Chris Sidey-Gibbons, et al.
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