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

Development, Rasch analysis and validation of the kidney symptom burden questionnaire (KSB-Q)

肾脏症状负担问卷(KSB-Q)的开发、Rasch分析和验证

Kyte, Derek; Fletcher, Benjamin R; Horton, Mike; Damery, Sarah; Aiyegbusi, Olalekan Lee; Anderson, Nicola; Bissell, Andrew; Calvert, Melanie; Cockwell, Paul; Ferguson, James; Paap, Muirne C S; Sidey-Gibbons, Chris; Turner, Neil; Verdi, Rav; Slade, Anita

The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective study

更新的影像软件对乳腺癌诊断机器学习模型性能的影响:一项多中心回顾性研究

Cai, Lie; Golatta, Michael; Sidey-Gibbons, Chris; Barr, Richard G; Pfob, André

Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?

利用治疗前超声和断层合成的多模态放射组学能否预测乳腺癌新辅助全身治疗的疗效?

Cai Lie, Sidey-Gibbons Chris, Nees Juliane, Riedel Fabian, Schäfgen Benedikt, Togawa Riku, Killinger Kristina, Heil Joerg, Pfob André, Golatta Michael

Minimally Invasive Breast Biopsy After Neoadjuvant Systemic Treatment to Identify Breast Cancer Patients with Residual Disease for Extended Neoadjuvant Treatment: A New Concept

新辅助全身治疗后微创乳腺活检识别残留病灶乳腺癌患者以进行延长新辅助治疗:一种新概念

Pfob, André; Cai, Lie; Schneeweiss, Andreas; Rauch, Geraldine; Thomas, Bettina; Schaefgen, Benedikt; Kuemmel, Sherko; Reimer, Toralf; Hahn, Markus; Thill, Marc; Blohmer, Jens-Uwe; Hackmann, John; Malter, Wolfram; Bekes, Inga; Friedrichs, Kay; Wojcinski, Sebastian; Joos, Sylvie; Paepke, Stefan; Degenhardt, Tom; Rom, Joachim; Rody, Achim; van Mackelenbergh, Marion; Banys-Paluchowski, Maggie; Große, Regina; Reinisch, Mattea; Karsten, Maria Margarete; Sidey-Gibbons, Chris; Wallwiener, Markus; Golatta, Michael; Heil, Joerg

Machine Learning to Predict the Individual Risk of Treatment-Relevant Toxicity for Patients With Breast Cancer Undergoing Neoadjuvant Systemic Treatment

利用机器学习预测接受新辅助全身治疗的乳腺癌患者发生治疗相关毒性的个体风险

Cai, Lie; Deutsch, Thomas M; Sidey-Gibbons, Chris; Kobel, Michelle; Riedel, Fabian; Smetanay, Katharina; Fremd, Carlo; Michel, Laura; Golatta, Michael; Heil, Joerg; Schneeweiss, Andreas; Pfob, André

Development of a PROMIS multidimensional cancer-related fatigue (mCRF) form using modern psychometric techniques

利用现代心理测量技术开发 PROMIS 多维度癌症相关疲乏 (mCRF) 量表

Xu, Cai; Sidey-Gibbons, Chris; Lacourt, Tamara E

FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation

FACE-Q量表用于测量面部皮肤癌手术后患者报告的结果:跨文化验证

Ottenhof, Maarten J; Dobbs, Thomas D; Veldhuizen, Inge; Harrison, Conrad J; Marges, Michelle; Lee, Erica H; Hoogbergen, Maarten M; van der Hulst, René R W J; Pusic, Andrea L; Sidey-Gibbons, Chris J

Towards Patient-centered Decision-making in Breast Cancer Surgery: Machine Learning to Predict Individual Patient-reported Outcomes at 1-year Follow-up

迈向以患者为中心的乳腺癌手术决策:利用机器学习预测患者术后1年随访的个体报告结果

Pfob, André; Mehrara, Babak J; Nelson, Jonas A; Wilkins, Edwin G; Pusic, Andrea L; Sidey-Gibbons, Chris

The Development, Deployment, and Evaluation of the CLEFT-Q Computerized Adaptive Test: A Multimethods Approach Contributing to Personalized, Person-Centered Health Assessments in Plastic Surgery

CLEFT-Q计算机化自适应测试的开发、部署和评估:一种多方法途径,有助于在整形外科领域进行个性化、以人为中心的健康评估

Harrison, Conrad; Apon, Inge; Ardouin, Kenny; Sidey-Gibbons, Chris; Klassen, Anne; Cano, Stefan; Wong Riff, Karen; Pusic, Andrea; Versnel, Sarah; Koudstaal, Maarten; Allori, Alexander C; Rogers-Vizena, Carolyn; Swan, Marc C; Furniss, Dominic; Rodrigues, Jeremy

ASO Author Reflections: Enhancing Surgical Decision-Making for Breast Reconstruction-Machine Learning-Driven Prediction of Postoperative Quality of Life

ASO作者反思:提升乳房重建手术决策——机器学习驱动的术后生活质量预测

Xu, Cai; Pfob, André; Sidey-Gibbons, Chris