Showing results (421-430 of 1,014) with videos related to

Sort By:
Pageof 102
JCO Clinical Cancer Informatics|July 22, 2025
Computational Morphological Assessment of Bladder Cancer Tissue Is Prognostic of Recurrence and Overall Survival Following Transurethral ResectionPatrick Leo, Behtash G Nezami, Mahmut Akgul, et al.
JCO Clinical Cancer Informatics|July 22, 2025
Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning AlgorithmOluwadunni E Emiloju, Nathan R Foster, Bahar Saberzadeh Ardestani, et al.
JCO Clinical Cancer Informatics|July 16, 2025
Deep Learning-Based Body Composition Analysis for Outcome Prediction in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Insights From the LOTIS-2 TrialRuss A Kuker, Juan P Alderuccio, Sunwoo Han, et al.
JCO Clinical Cancer Informatics|June 27, 2025
Deep Learning Model for Natural Language to Assess Effectiveness of Patients With Non-Muscle Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin TherapyMakito Miyake, Naohiro Yonemoto, Kanae Togo, et al.
JCO Clinical Cancer Informatics|June 13, 2025
Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical NotesMario Fugal, David Marshall, Alexander V Alekseyenko, et al.
JCO Clinical Cancer Informatics|June 20, 2025
Patient Perspectives on Technological Barriers and Implementation Strategies Leveraged During a Real-World Remote Symptom Monitoring ProgramTanvi V Padalkar, Nicole L Henderson, D'Ambra N Dent, et al.
JCO Clinical Cancer Informatics|March 1, 2024
Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient DataLevente Lippenszky, Kathleen F Mittendorf, Zoltán Kiss, et al.
JCO Clinical Cancer Informatics|March 20, 2024
Exploring Indicators of Vulnerability in Older Adults With Newly Diagnosed Multiple MyelomaTanya M Wildes
JCO Clinical Cancer Informatics|March 21, 2024
Serologic Detection of Hepatocellular Carcinoma: Application of Machine Learning and Implications for Diagnostic ModelsPhilip J Johnson, Ehsan Bhatti, Hidenori Toyoda, et al.
JCO Clinical Cancer Informatics|March 26, 2024
Can Machine Learning Predict Favorable Outcome After Radiofrequency Ablation of Hepatocellular Carcinoma?Amr A Hamed, Amr Muhammed, Ebtsam A M Abdelbary, et al.
Pageof 102