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

An extension of the validation cohort of the Dutch Early-Stage Melanoma (D-ESMEL) study for stage-specific analyses

荷兰早期黑色素瘤(D-ESMEL)研究验证队列的扩展,用于分期特异性分析

Zhou, Catherine; Mooyaart, Antien L; Hulscher, Nikita; Kerkour, Thamila; Ouwerkerk, Jasper; Louwman, Marieke W J; Wakkee, Marlies; Li, Yunlei; Voorham, Quirinus J M; Bruggink, Annette; Nijsten, Tamar E C; Hollestein, Loes M

Longitudinal data on advanced cutaneous squamous cell carcinoma from the Dutch Keratinocyte Cancer Collaborative (DKCC): a nationwide real-world database study

来自荷兰角质细胞癌协作组(DKCC)的晚期皮肤鳞状细胞癌纵向数据:一项全国性真实世界数据库研究

Hollestein, Loes M; Eggermont, Celeste J; Louwman, Marieke W J; Schreuder, Kay; Drissen, Meggie C M; Steijlen, Olivia F M; Mooyaart, Antien L; Bruggink, Annette H; Voorham, Quirinus J M; Grunhagen, Dirk J; Jalving, Mathilde; Nijsten, Tamar E C; Wakkee, Marlies

The Dutch Early-Stage Melanoma (D-ESMEL) study: a discovery set and validation cohort to predict the absolute risk of distant metastases in stage I/II cutaneous melanoma

荷兰早期黑色素瘤(D-ESMEL)研究:用于预测I/II期皮肤黑色素瘤远处转移绝对风险的发现集和验证队列

Zhou, Catherine; Mooyaart, Antien L; Kerkour, Thamila; Louwman, Marieke W J; Wakkee, Marlies; Li, Yunlei; Voorham, Quirinus J M; Bruggink, Annette; Nijsten, Tamar E C; Hollestein, Loes M

Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives

面向普通人群的皮肤癌分诊移动健康应用程序:一项关于医疗服务提供者观点的定性研究

Sangers, Tobias E; Wakkee, Marlies; Moolenburgh, Folkert; Nijsten, Tamar; Lugtenberg, Marjolein

Enhancing Early Detection of Metastatic Cutaneous Squamous Cell Carcinoma (CSCC): Integrating AI With Histopathological Assessments

提高转移性皮肤鳞状细胞癌(CSCC)的早期检出率:将人工智能与组织病理学评估相结合

Bramer, E M; Chia, C; Rentroia-Pacheco, B; Tokez, S; Pijnenborg, L; Damman, J; Amir, A; Kumar, D; Hollestein, L M; Mooyaart, A L; Wakkee, M

Exploring Motives Behind Ideal Melanoma Survivorship Care Plans With Multiple Stakeholders: A Cocreation Study

探索多方利益相关者参与制定理想黑色素瘤生存期护理计划的动机:一项共同创建研究

Kamminga, Nadia Christina Willemina; Lugtenberg, Marjolein; Van den Broek, Julia Annabel; Nijsten, Tamar; Wakkee, Marlies; Tabeau, Kasia

Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study

基于可解释人工智能(XAI)方法,利用面部图像预测皮肤癌风险:概念验证研究

Liu, Xianjing; Sangers, Tobias E; Nijsten, Tamar; Kayser, Manfred; Pardo, Luba M; Wolvius, Eppo B; Roshchupkin, Gennady V; Wakkee, Marlies

Weighted metrics are required when evaluating the performance of prediction models in nested case-control studies

在评估嵌套病例对照研究中预测模型的性能时,需要使用加权指标。

Rentroia-Pacheco, Barbara; Bellomo, Domenico; Lakeman, Inge M M; Wakkee, Marlies; Hollestein, Loes M; van Klaveren, David

From decision to reflection: understanding the experiences and unmet care needs of patients treated with immunotherapy for melanoma in the adjuvant or metastatic setting

从决策到反思:了解接受辅助或转移性黑色素瘤免疫疗法治疗的患者的经历和未满足的护理需求

Kamminga, Nadia C W; van der Veldt, Astrid A M; Wakkee, Marlies; van den Berge, Fauve R; van der Beek, Lianne A A; Joosen, Margot C W; Joosse, Arjen; de Joode, Karlijn; Nijsten, Tamar E C; Lugtenberg, Marjolein

Embedding artificial intelligence in healthcare: An ethnographic exploration of an AI-based mHealth app through the lens of legitimacy

将人工智能融入医疗保健:以合法性视角对一款基于人工智能的移动医疗应用程序进行民族志探索

Howe, Sydney; Smak Gregoor, Anna; Uyl-de Groot, Carin; Wakkee, Marlies; Nijsten, Tamar; Wehrens, Rik