CO170 Real-World Survival Outcomes in Patients with Intermediate-to-High-Risk Non-Muscle Invasive Bladder Cancer Utilizing Medicare Claims Data: Estimating Event Free Survival and... von Eccleston, A., Chang, J., Brinkmann, J., Cappelleri, J., Chen, L., Banks, J., Schroeder, A., Karhade, M., Salova, M.

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Dose Constraints to Prevent Radiation-induced Brachial Plexopathy in Patients Treated for Lung Cancer von Amini, A, Welsh, J.W, Yang, J, McBurney, M.L, Williamson, R.T, Karhade, M, Allen, P.K, Erasmus, J, Dong, L, Liao, Z

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P60.11 Trends in Molecular Testing for Metastatic Non-Small Cell Lung Cancer in The US Oncology Network Community Practices von Robert, N., Chen, L., Espirito, J., Karhade, M., Nwokeji, E., Evangelist, M., Spira, A., Neubauer, M., Bullock, S., Coleman, R.

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P22 COVID-19 Pandemic Impacts Volume of Evaluation & Management (E&M) Telehealth Visits within Community Oncology Practices von Karhade, M, Mohammad, N, Robert, N, Wu, N, Heller, B, Alwardt, S, Neubauer, M, Smith, H, Moore-Schiltz, L

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POSC407 Monitoring of Reported COVID-19 Vaccination Rates in Community Oncology Settings von Harrell, R, Kwon, A, Karhade, M, Robert, N, Wu, N, Heller, B, Alwardt, S, Moore-Schiltz, L, Smith, H

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POSB27 Results of Self-Reported EHR COVID Screenings Among Community Oncology Patients von Mohammad, N, Karhade, M, Robert, N, Wu, N, Heller, B, Alwardt, S, Moore-Schiltz, L, Smith, H

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P73 Risk of Hospitalization and Emergency Room Visits Among Community Oncology Patients von Namasivayam, G, Rahman, MM, Mohammad, N, Chang, B, Karhade, M, Robert, N, Wu, N, Heller, B, Alwardt, S, Neubauer, M, Staggs, S, Moore-Schiltz, L, Smith, H, Hoang, S

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Prediction of Postoperative Delirium in Geriatric Hip Fracture Patients: A Clinical Prediction Model Using Machine Learning Algorithms von Oosterhoff, Jacobien H. F., Karhade, Aditya V., Oberai, Tarandeep, Franco-Garcia, Esteban, Doornberg, Job N., Schwab, Joseph H.

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Abstract S3-01: IMENEO: International MEta-analysis of circulating tumor cell detection in early breast cancer patients treated by NEOadjuvant chemotherapy von Bidard, F-C, Michiels, S, Mueller, V, Riethdorf, S, Esserman, LJ, Lucci, A, Naume, B, Horiguchi, J, Gisbert-Criado, R, Sleijfer, S, Toi, M, Garcia-Saenz, JA, Hartkopf, A, Generali, D, Rothe, F, Smerage, J, Muinelo, L, Stebbing, J, Viens, P, Magbanua, M, Hall, CS, Engebråtenm, O, Takata, D, Vidal-Martínez, J, Onstenk, W, Fujisawa, N, Diaz-Rubio, E, Taran, F-A, Cappelletti, MR, Ignatiadis, M, Name, N, Proudhon, C, Wolf, D, Bowman Bauldry, J, Borgen, E, Nagaoka, R, Carañana, V, Kraan, J, Maestro, M, Brucker, SY, Weber, K, Reyal, F, Amara, D, Gopalkrishna Karhade, M, Ruud Mathiesen, R, Tokiniwa, H, Llombart-Cussac, A, D'Hollander, K, Cottu, P, Park, JW, Loibl, S, Pierga, J-Y, Pantel, K

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Negative perceptions and emotional impact of striae gravidarum among pregnant women von Karhade, Kaveri, Lawlor, Megan, Chubb, Heather, Johnson, Timothy R.B., Voorhees, John J., Wang, Frank

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Sociodemographic Factors Are Associated with Patient-Reported Outcome Measure Completion in Orthopaedic Surgery von David N. Bernstein, MD, MBA, MEI, Aditya V. Karhade, MD, MBA, Christopher M. Bono, MD, Joseph H. Schwab, MD, MS, Mitchel B. Harris, MD, Daniel G. Tobert, MD

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Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty von Katakam, Akhil, Karhade, Aditya V., Collins, Austin, Shin, David, Bragdon, Charles, Chen, Antonia F., Melnic, Christopher M., Schwab, Joseph H., Bedair, Hany S.

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Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review von Senders, Joeky T., Staples, Patrick C., Karhade, Aditya V., Zaki, Mark M., Gormley, William B., Broekman, Marike L.D., Smith, Timothy R., Arnaout, Omar

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Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease von Thio, Quirina C. B. S., Karhade, Aditya V., Ogink, Paul T., Bramer, Jos A. M., Ferrone, Marco L., Calderón, Santiago Lozano, Raskin, Kevin A., Schwab, Joseph H.

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Minimum Clinically Important Difference: A Metric That Matters in the Age of Patient-Reported Outcomes von Karhade, Aditya V., Bono, Christopher M., Schwab, Joseph H., Tobert, Daniel G.

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Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review von Kunze, Kyle N., Rossi, David M., White, Gregory M., Karhade, Aditya V., Deng, Jie, Williams, Brady T., Chahla, Jorge

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What Is the Clinical Benefit of Common Orthopaedic Procedures as Assessed by the PROMIS Versus Other Validated Outcomes Tools? von Karhade, Aditya V., Bernstein, David N., Desai, Vineet, Bedair, Hany S., O’Donnell, Evan A., Tanaka, Miho J., Bono, Christopher M., Harris, Mitchel B., Schwab, Joseph H., Tobert, Daniel G.

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Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion von Karhade, Aditya V., Ogink, Paul T., Thio, Quirina C.B.S., Broekman, Marike L.D., Cha, Thomas D., Hershman, Stuart H., Mao, Jianren, Peul, Wilco C., Schoenfeld, Andrew J., Bono, Christopher M., Schwab, Joseph H.

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External validation of the SORG 90-day and 1-year machine learning algorithms for survival in spinal metastatic disease von Karhade, Aditya V., Ahmed, Ali K., Pennington, Zach, Chara, Alejandro, Schilling, Andrew, Thio, Quirina C.B.S., Ogink, Paul T., Sciubba, Daniel M., Schwab, Joseph H.

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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess von Shah, Akash A., Karhade, Aditya V., Bono, Christopher M., Harris, Mitchel B., Nelson, Sandra B., Schwab, Joseph H.

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