Search Results - "Bitterman, D.S"

Anal Cancer Outcomes in Patients Treated With Intensity Modulated Compared to 3-Dimensional Radiation Therapy by Cooper, B.T, Bitterman, D.S, Grew, D, No, H.S, Sanfilippo, N.J, Du, K.L

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Disparities in the Treatment and Outcome of Anal Cancer in Public and Private Hospital Patients by Bitterman, D.S, Grew, D, Leichman, C.G, Leichman, L, Du, K.L

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Influence of Neutrophil-Lymphocyte Ratio and Other Independent Factors Predicting Failure in Locally Advanced Esophageal Malignancies by Mathew, M.M, Elahi, N, Osipov, A, Bitterman, D.S, Talcott, W, Tuli, R, Du, K.L, Thomas, T.O

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Predictors of Complete Response and Recurrence Following Neoadjuvant Chemoradiation Therapy in Rectal Cancer by Bitterman, D.S, Resende-Salgado, L, Moore, H.G, Sanfilippo, N.J, Gu, P, Hatzaras, I, Du, K.L

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Does donor age affect recipient outcomes? by Bitterman, D.S, Levens, C.V, Cholst, I.N

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External validation of Cardiac disease, Hypertension, and Logarithmic Left anterior descending coronary artery radiation dose (CHyLL) for predicting major adverse cardiac events after lung cancer radiotherapy by Tjong, M.C., Zhang, S.C., Gasho, J.O., Silos, K.D., Gay, C., McKenzie, E.M., Steers, J., Bitterman, D.S., Nikolova, A.P., Nohria, A., Hoffmann, U., Brantley, K.D., Mak, R.H., Atkins, K.M.

“…•Coronary heart disease, Hypertension, and Logarithmic LADV15 (CHyLL model), but not mean heart dose performed well in predicting MACE among this external…”
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Cancer Treatment Information Differences by Bilingual Prompting in Large Language Model Chatbots by Mora, J., Chen, S., Mak, R.H., Bitterman, D.S.

“…There is significant excitement about the potential of large language models (LLMs) to improve health literacy via multilingual question-answering, yet LLMs…”
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Deployment of a Deep Learning Automated Cardiac Sub-Structure Contouring Algorithm to Measure Coronary Dose Exposure Trends in Lung Cancer Radiation Therapy by Guthier, C.V., Kehayias, C.E., Bitterman, D.S., Atkins, K.M., Mak, R.H.

“…Radiation dose exposure to the left anterior descending coronary artery (LAD) is associated with major adverse cardiac events (MACE) and all-cause mortality…”
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Deep Learning-Based Natural Language Processing to Automate Esophagitis Severity Grading from the Electronic Health Records by Chen, S., Guevara, M., Ramirez, N., Aerts, H., Miller, T.A., Savova, G.K., Mak, R.H., Bitterman, D.S.

“…Radiotherapy (RT) toxicities can impair survival and quality-of-life, yet their risk factors and optimal management are under-studied. Real-world evidence…”
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Association of Cardiac Sub-Structure Radiation Dose with Bradyarrhythmias and Tachyarrhythmias after Lung Cancer Radiotherapy by Atkins, K.M., Nikolova, A., Guthier, C.V., Bitterman, D.S., Kozono, D.E., Nohria, A., Mak, R.H.

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Exploring Methods to Understand Cancer Disparities Using Natural Language Processing of Clinical Notes by Derton, A., Murray, A., Liu, D., Mak, R.H., Miller, T.A., Savova, G.K., Bitterman, D.S.

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Interpretable Predictive Modeling for Major Adverse Cardiac Events Following Lung Cancer Radiotherapy by Qiao, E.M., He, J., Bitterman, D.S., Guthier, C.V., Nikolova, A., Nohria, A., Atkins, K.M., Mak, R.H.

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Deep Learning-Based Automated Cardiac Sub-Structure Contouring with Dosimetric and Clinical Outcomes Validation by Guthier, C.V., McKenzie, E., Zeleznik, R., Bitterman, D.S., Bredfeldt, J.S., Aerts, H., Atkins, K.M., Mak, R.H.

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Association of Left Ventricular Myocardium Dose Exposure with Heart Failure in Lung Cancer Radiotherapy by Atkins, K.M., Guthier, C.V., Kehayias, C.E., He, J., Gasho, J.O., Nikolova, A., Kozono, D.E., Bitterman, D.S., Mak, R.H.

“…The volume of left anterior descending (LAD) coronary artery dose receiving 15 Gy (LAD V15 Gy) has been associated with major adverse cardiac events (MACE; a…”
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Analysis of Artificial Intelligence-Based Automated Phenotyping of Coronary Artery Disease Diagnoses for Patients who Received Radiotherapy for Thoracic Malignancies by He, J., Curran, S., Guthier, C.V., Atkins, K.M., Fitzgerald, K.J., Bitterman, D.S., Kann, B.H., Kozono, D.E., Mak, R.H.

“…Coronary artery disease (CAD) is a critical risk factor and toxicity endpoint in thoracic radiation oncology. The recent advent of artificial intelligence (AI)…”
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Deep Learning Based Estimation of Facial Age for Prognostication in Patients with Early-Stage Non-Small Cell Lung Cancer Undergoing Definitive Stereotactic Body Radiotherapy by Lee, G., Haugg, F., Bontempi, D., He, J., Bitterman, D.S., Pai, S., Guthier, C.V., Fitzgerald, K.J., Kozono, D.E., Kann, B.H., Aerts, H., Mak, R.H.

“…Patients who undergo definitive stereotactic body radiotherapy (SBRT) for early-stage non-small cell lung cancer (NSCLC), in lieu of surgery, are often elderly…”
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Applying Deep Learning Based Facial Age Phenotyping to Improve Life Expectancy Prediction in Metastatic Cancer Patients Receiving Palliative Radiotherapy by Lee, G., Haugg, F., Bontempi, D., Bitterman, D.S., Pai, S., Guthier, C.V., Chen, Y.H., Hertan, L.M., Balboni, T.A., Kann, B.H., Aerts, H., Krishnan, M.S., Mak, R.H.

“…Prognostic tools such as the TEACHH model (risk scoring based on cancer type, ECOG PS, age, prior palliative chemotherapy, hospitalization, and hepatic…”
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Deep Learning Based Facial Age Phenotyping in a Large-Scale, Real-World Cancer Patient Population by Lee, G., Haugg, F., Bontempi, D., He, J., Zalay, O., Bitterman, D.S., Catalano, P.J., Prudente, V., Pai, S., Guthier, C.V., Kann, B.H., Aerts, H., Mak, R.H.

“…Humans age at different rates and a person's facial characteristics may yield insight into their biological age and physiological health. Our prior study…”
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Clinical Outcomes of Transgender and Gender-Diverse Patients Receiving Radiation for Cancer Treatment by Mansur, A., Smart, A.C., Kempf, A.M., Bitterman, D.S., Patel, C.G., Dyer, M.A., Haas-Kogan, D.A., Liu, K.X.

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Race Disparities in High-cost, Limited Resource Cancer Treatment: Proton Radiotherapy Use in Patients Enrolled on Children’s Oncology Group Trials by Bitterman, D.S., Bona, K., Laurie, F., Kao, P.C., Terezakis, S.A., London, W.B., Haas-Kogan, D.A.

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