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Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information

Autor: Hernandez, Soleil, Nguyen, Callistus, Gay, Skylar, Duryea, Jack, Howell, Rebecca, Fuentes, David, Parkes, Jeannette, Burger, Hester, Cardenas, Carlos, Paulino, Arnold C., Pollard-Larkin, Julianne, Court, Laurence

Publikováno v: Journal of Applied Clinical Medical Physics 2022

Purpose: Target delineation for radiation therapy is a time-consuming and complex task. Autocontouring gross tumor volumes (GTVs) has been shown to increase efficiency. However, there is limited literature on post-operative target delineation, partic

Externí odkaz: http://arxiv.org/abs/2212.09564

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Akademický článek

The feasibility of utilizing the open dynamic interaction network (ODIN) app to assess rEMA data across 30 days among those recovering from alcohol use disorders

Autor: Dennis E. McChargue, Bilal Khan, Jessica Phelps, Patrick Duryea, Kimberly A. Tyler, Arthur Andrews, Ellie Reznicek, Lucy Napper, Mohamed Saad, Hsuan-Wei Lee

Publikováno v: Drug and Alcohol Dependence Reports, Vol 14, Iss , Pp 100305- (2025)

Preliminary data from a prospective micro-longitudinal study (30 days) that examined the co-evolution of return to use risk among people diagnosed with an alcohol use disorder (AUD) in residential substance treatment is presented. Data assessed the f

Externí odkaz: https://doaj.org/article/226adec383ac41e7a8b5233af775852f

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Akademický článek

Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity

Autor: Ramon M. Salazar, PhD, Saurabh S. Nair, MS, Alexandra O. Leone, MBS, Ting Xu, PhD, Raymond P. Mumme, BS, Jack D. Duryea, BA, Brian De, MD, Kelsey L. Corrigan, MD, Michael K. Rooney, MD, Matthew S. Ning, MD, Prajnan Das, MD, Emma B. Holliday, MD, Zhongxing Liao, MD, Laurence E. Court, PhD, Joshua S. Niedzielski, PhD

Publikováno v: Advances in Radiation Oncology, Vol 10, Iss 2, Pp 101675- (2025)

Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic de

Externí odkaz: https://doaj.org/article/b8b8349210f54efe9b3eb5f58fa5a33b

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Akademický článek

Implementation of universal screening for substance use in pregnancy in a public healthcare systemAJOG Global Reports at a Glance

Autor: Alesha White, MD, Macy Afsari, Harini Balakrishnan, Emilia Chapa, Meredith Kim, Shubhangi Mehra, Mary Ann Faucher, PhD, CNM, FACNM, Joyce Miller, DNP, APRN, WHNP-BC, Polly Cordova, DNP, APRN, CNM, Elaine L. Duryea, MD, David B. Nelson, MD, Anne M. Ambia, MD, Donald D. Mcintire, PhD, Emily H. Adhikari, MD

Publikováno v: AJOG Global Reports, Vol 4, Iss 3, Pp 100384- (2024)

Objective: Screening questionnaires are one option for identification of at-risk substance use and substance use disorder (SUD) during pregnancy. We report the experience of a single institution following universal implementation of a brief screening

Externí odkaz: https://doaj.org/article/0cdfc62003a94dd8a6bb57634de30116

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Akademický článek

Gender differences in patterns of cartilage loss: Data from the Osteoarthritis Initiative

Autor: Amesbury, Rebecca ^#, Ragati-Haghi, Hedieh ^#, Mathiessen, Alexander ^†, Laffaye, Todd ^#, Stein, Rebekah I. ^#, Collins, Jamie E. ^#, Kent Kwoh, C. ^‡, Duryea, Jeffrey ^{#, *}

Publikováno v: In Osteoarthritis and Cartilage September 2024 32(9):1149-1153

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