日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Enhancing Team Science by Training Collaborative Biostatisticians to have a Strong Statistical Voice

通过培训协作生物统计学家,使其拥有强大的统计学话语权,从而增强团队科学能力。

Pomann, Gina-Maria; Grambow, Steven C; Ashner, Marissa C; Chakraborty, Bibhas; Liu, Nan; Neely, Megan L; Peskoe, Sarah; Rende, Lacey; Slade, Emily; Truong, Tracy; Yang, Lexie Zidanyue; Samsa, Greg P; Troy, Jesse D

Toward Automating the Summarization of Cancer Pathology Reports Using Large Language Models to Improve Clinical Usability

利用大型语言模型实现癌症病理报告摘要的自动化,以提高临床可用性

Liu, Yirong; John, Jacob; Sarkar, Sagnik; Zakkar, Abdul; Kinkopf, Paul; Teo, P Troy; Abazeed, Mohamed E

Deep learning for automated, motion-resolved tumor segmentation in radiotherapy

深度学习在放射治疗中实现自动、运动分辨肿瘤分割

Sarkar, Sagnik; Teo, P Troy; Abazeed, Mohamed E

Quality of Large Language Model Responses to Radiation Oncology Patient Care Questions

大型语言模型对放射肿瘤患者护理问题的回答质量

Yalamanchili, Amulya; Sengupta, Bishwambhar; Song, Joshua; Lim, Sara; Thomas, Tarita O; Mittal, Bharat B; Abazeed, Mohamed E; Teo, P Troy

GlioPredictor: a deep learning model for identification of high-risk adult IDH-mutant glioma towards adjuvant treatment planning

GlioPredictor:一种用于识别高危成人IDH突变型胶质瘤以指导辅助治疗计划的深度学习模型

Zheng, Shuhua; Rammohan, Nikhil; Sita, Timothy; Teo, P Troy; Wu, Yilin; Lesniak, Maciej; Sachdev, Sean; Thomas, Tarita O

Clinical, Pathologic, and Dosimetric Predictors of Head and Neck Lymphedema Following Definitive or Adjuvant Radiation Therapy for Head and Neck Cancer

头颈癌根治性或辅助性放疗后头颈部淋巴水肿的临床、病理和剂量学预测因素

Rogacki, Kevin R; Teo, P Troy; Gopalakrishnan, Mahesh; Pachigolla, Suvidya Lakshmi; Lyons, Clayton E; Abazeed, Mohamed E; Das, Indra; Mittal, Bharat B; Gentile, Michelle

Determining risk and predictors of head and neck cancer treatment-related lymphedema: A clinicopathologic and dosimetric data mining approach using interpretable machine learning and ensemble feature selection

利用可解释机器学习和集成特征选择技术,通过临床病理和剂量学数据挖掘方法确定头颈癌治疗相关淋巴水肿的风险和预测因子

Teo, P Troy; Rogacki, Kevin; Gopalakrishnan, Mahesh; Das, Indra J; Abazeed, Mohamed E; Mittal, Bharat B; Gentile, Michelle

Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems

基于图像的深度神经网络可用于个体化放射治疗剂量,且可跨医疗系统推广应用。

Randall, James; Teo, P Troy; Lou, Bin; Shah, Jainil; Patel, Jyoti; Kamen, Ali; Abazeed, Mohamed E

An analysis of missing items in real-world electronic patient reported outcomes data: implications for clinical care

对真实世界电子患者报告结局数据中缺失项的分析:对临床护理的启示

Rosett, Heather A; Locke, Susan C; Wolf, Steven P; Herring, Kris W; Samsa, Gregory P; Troy, Jesse D; LeBlanc, Thomas W

A Single Institution's Overweight Pediatric Population and Their Associated Comorbid Conditions

单一机构超重儿童人群及其相关合并症

Bairdain, Sigrid; Lien, Chueh; Stoffan, Alexander P; Troy, Michael; Simonson, Donald C; Linden, Bradley C