Beyond the Locus: Learning Tumor Microsatellite Instability Status From Genome and Transcriptome Sequencing [0.03%]
超越位置：从基因组和转录组测序中学习肿瘤微卫星不稳定性状态
Joshua D Cohen,Matthew B Yurgelun
Joshua D Cohen
Clinical Impact of Mismatch Repair Gene Mutation-Based Alert on Immunotherapy Decision Making Across Patients With Cancer [0.03%]
基于 mismatch repair 基因突变的警报对各类癌症患者免疫治疗决策的影响
Andrew H Kim,Ana Galan-Cobo,Hung Le et al.
Andrew H Kim et al.
Purpose: Despite approval of pembrolizumab and dostarlimab for tumors that are deficient in mismatch repair (MMR) proteins, many patients do not undergo mismatch repair deficiency (dMMR) testing by immunohistochemistry (I...
Strategies for Deploying Large Language Models for Ascertaining Clinical Outcomes and Sites of Metastases From Radiology Impressions in Patients With Cancer [0.03%]
用于从放射学印象中确定癌症患者临床结局和转移部位的大型语言模型部署策略
Syed Arsalan Ahmed Naqvi,Irbaz Bin Riaz,Amir Saeidi et al.
Syed Arsalan Ahmed Naqvi et al.
Purpose: To evaluate open-source large language models (LLMs) for extracting cancer-specific phenotypic data, benchmark their performance against GPT4 models, and assess the impact of fine-tuning with training data sizes....
Evaluation of an Artificial Intelligence Communication Platform for Racial Biases in Pretest Education About Prostate Cancer Germline Testing [0.03%]
评估用于前列腺癌遗传检测前教育的人工智能通信平台的种族偏见性
Johanna Balas,Lauren Bowling,Nonna Shakhnazaryan et al.
Johanna Balas et al.
Purpose: Guidelines recommend germline testing in advanced prostate cancer (PCa) to inform treatment and personal/familial cancer risk, yet Black patients are less likely than White patients to complete testing. Artificia...
Influence of Fractionation and Beam Sequencing on Absorbed Dose to Circulating Lymphocytes During Ultra-High Dose Rate and Conventional Radiotherapy: An In Silico Study [0.03%]
分次和束流顺序对超高剂量率和常规放射治疗中循环淋巴细胞吸收剂量的影响：一项基于计算的研究
François de Kermenguy,Camilla Satragno,Mohammed El-Aichi et al.
François de Kermenguy et al.
Purpose: Several in silico models concluded that ultra-high dose rate (UHDR) radiotherapy could spare large quantities of circulating lymphocytes. However, preclinical studies failed to show a reduction in radiation-induc...
Abiraterone or Enzalutamide for Patients With Metastatic Castration-Sensitive Prostate Cancer: A Nationwide Veterans Affairs Study [0.03%]
阿比特龙与恩杂鲁胺治疗转移性雄激素敏感前列腺癌患者的疗效：退伍军人事务局的一项全国范围研究
Jennifer La,Lin Wang,June K Corrigan et al.
Jennifer La et al.
Purpose: Enzalutamide or abiraterone, combined with androgen-deprivation therapy, is standard of care for metastatic castration-sensitive prostate cancer (mCSPC). However, no trials have compared these drugs. This study c...
ConLymphNet: A Generalizable Region-Constrained Deep Learning Architecture for Precise Abdominal Lymph Node Segmentation Across Cancer Types [0.03%]
一种通用的区域约束深度学习架构，可跨癌症类型精确划分腹部淋巴结（英文：ConLymphNet: A Generalizable Region-Constrained Deep Learning Architecture for Precise Abdominal Lymph Node Segmentation Across Cancer Types）
Pankaj Gupta,Shubham Saini,Anjali Aggarwal et al.
Pankaj Gupta et al.
Purpose: Accurate identification and segmentation of abdominal lymph nodes on computed tomography (CT) is crucial for cancer staging and treatment planning but remains a challenging and time-consuming radiologic task. We ...
Large Language Models to Extract Cancer Staging Data From Clinical Documentation at Scale [0.03%]
大规模从临床文档中提取癌症分期数据的语言模型
Swapna Abhyankar,Rajesh M Rao,Mehraveh Salehi et al.
Swapna Abhyankar et al.
Purpose: To develop a large language model (LLM) (Truveta Language Model Oncology [TLM-Oncology]) to extract real-world oncology staging data across multiple cancer types from clinical documentation with high precision. ...
Enhancing Outcome Measurement in Oncology Clinical Trials Through Artificial Intelligence: A Scoping Review [0.03%]
通过人工智能增强肿瘤临床试验结果测量的范畴性评审
Rachel Woodford,Sally Lord,Frank Lin et al.
Rachel Woodford et al.
The phased framework of oncology trials is designed to ensure patient safety and conserve resources by advancing only promising therapies from early- to late-phase testing. Despite decades of refinement, overall trial success rates-defined ...
Integrating Natural Language Processing With ChatGPT to Improve Quality of Artificial Intelligence Summaries of Prostate Cancer Consultations [0.03%]
结合ChatGPT的自然语言处理技术改进前列腺癌咨询的人工智能摘要质量
Nadine A Friedrich,Sanjay K Das,Michael Luu et al.
Nadine A Friedrich et al.
Purpose: Patients with prostate cancer (PC) face complex treatment decisions and often struggle to recall information from consultations. Artificial intelligence(AI)-generated summaries have potential to improve recall, b...