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

Accuracy of patient, care partner, and clinician health care contact day recall

患者、护理伙伴和临床医生对医疗保健接触日回忆的准确性

Lin, Kendall; Jansen, Rick J; George, Manju; Breininger, Allison; Stevens, Samuel X; Booth, Christopher M; Parsons, Helen M; Ziegenfuss, Jeanette Y; Vogel, Rachel I; Blaes, Anne H; Gupta, Arjun

Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?

人工智能通过表型预测犬皮肤肥大细胞瘤中 c-KIT 外显子 11 基因型:人类观察者能学会吗?

Puget, Chloé; Ganz, Jonathan; Bertram, Christof A; Conrad, Thomas; Baeblich, Malte; Voss, Anne; Landmann, Katharina; Haake, Alexander F H; Spree, Andreas; Hartung, Svenja; Aeschlimann, Leonore; Soto, Sara; de Brot, Simone; Dettwiler, Martina; Aupperle-Lellbach, Heike; Bolfa, Pompei; Bartel, Alexander; Kiupel, Matti; Breininger, Katharina; Aubreville, Marc; Klopfleisch, Robert

The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care

在初级保健中,青光眼转诊的专家人工智能面临知识不平衡下的可解释人工智能困境

Gomez, Catalina; Wang, Ruolin; Breininger, Katharina; Casey, Corinne; Bradley, Chris; Pavlak, Mitchell; Pham, Alex; Yohannan, Jithin; Unberath, Mathias

Cancer-associated fibroblasts are associated with neo-adjuvant treatment response in oesophageal adenocarcinoma.

癌症相关成纤维细胞与食管腺癌的新辅助治疗反应相关

Walker Robert C, Breininger Stella P, Sharpe Benjamin P, Harrington Jack, Reddin Ian, Tse Carmen, Rajak Rushda, Hayden Annette, Rahman Saqib, Grace Ben, Izadi Fereshteh, West Jonathan, Secrier Maria, Walters Zoë S, Rose-Zerilli Matthew J J, Underwood Timothy J

Monte Carlo Gradient Boosted Trees for Cancer Staging: A Machine Learning Approach

基于蒙特卡洛梯度提升树的癌症分期:一种机器学习方法

Eley, Audrey; Hlaing, Thu Thu; Breininger, Daniel; Helforoush, Zarindokht; Kachouie, Nezamoddin N

A self-supervised multimodal deep learning approach to differentiate post-radiotherapy progression from pseudoprogression in glioblastoma

一种用于区分胶质母细胞瘤放疗后进展与假性进展的自监督多模态深度学习方法

Gomaa, Ahmed; Huang, Yixing; Stephan, Pluvio; Breininger, Katharina; Frey, Benjamin; Dörfler, Arnd; Schnell, Oliver; Delev, Daniel; Coras, Roland; Donaubauer, Anna-Jasmina; Schmitter, Charlotte; Stritzelberger, Jenny; Semrau, Sabine; Maier, Andreas; Bayer, Siming; Schönecker, Stephan; Heiland, Dieter H; Hau, Peter; Gaipl, Udo S; Bert, Christoph; Fietkau, Rainer; Schmidt, Manuel A; Putz, Florian

"The biggest challenge is there's never a routine": a qualitative study of the time burdens of cancer care at home

“最大的挑战在于没有固定的作息规律”:一项关于居家癌症护理时间负担的定性研究

Sekar, Preethiya; Johnson, Whitney V; George, Manju; Breininger, Allison; Parsons, Helen M; Vogel, Rachel I; Blaes, Anne H; Gupta, Arjun

Patient-, care partner-, and clinician-proposed solutions to address the time toxicity of cancer care

患者、照护伙伴和临床医生提出了解决癌症治疗时间过长问题的方案

Johnson, Whitney V; Valisekka, Sai S; Ogunleye, Obafemi O; Stevens, Samuel X; George, Manju; Breininger, Allison; Kyle, Michael Anne; Booth, Christopher M; Hanna, Timothy P; Vogel, Rachel I; Parsons, Helen M; Blaes, Anne H; Gupta, Arjun

Whole-genome sequencing surveillance of Siberian tick-borne encephalitis virus (TBEV) identifies an additional lineage in Kyrgyzstan

对西伯利亚蜱传脑炎病毒(TBEV)的全基因组测序监测在吉尔吉斯斯坦发现了一个新的谱系

D'Addiego, Jake; Curran-French, Mollie; Smith, Jack; Junushov, Asankadyr T; Breininger, Irena; Atkinson, Barry; Hay, John; Hewson, Roger

Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features

图神经网络在多染色病理成像中的应用:放射组学特征的扩展比较分析

Rivera Monroy, Luis Carlos; Rist, Leonhard; Ostalecki, Christian; Bauer, Andreas; Vera, Julio; Breininger, Katharina; Maier, Andreas