Large Language Models in the Clinic

• 2737 · PDF 临床试验知识平台在社区癌症网络中的真实世界可用性 Real-world usability of a clinical trial knowledge platform in a community cancer network Tony Kin Wai Hung, Shriya Amara, Paulette Schwartz, Aanshi Thumar, Zaid Raza, Elizabeth O’Brien, Gilad Kuperman, Barry Stein, Peter Yu, Jun J. Mao
• 2738 · PDF 从混乱到列：使用CIDER进行高准确度临床数据提取 From chaos to columns: High-accuracy clinical data extraction with CIDER Mate Posta, Aida Figler, Zsofia Dobolyi, Balazs Gyorffy
• 2739 · PDF 评估大语言模型在肿瘤学临床试验自动匹配中的应用 Evaluation of large language models for automated clinical trial matching in oncology Aakash Desai, Ellen McNeeley, Sanad Alhuski, Maya Khalil, Matthew Might, Rebecca Arend, Andrew Crouse, Mehmet Akce
• 2740 · PDF 利用Google云计算将大语言模型应用于CAR-T细胞疗法临床数据 Applications of large language models to CAR-T cell therapy clinical data using Google cloud computing Emmanuel Contreras Guzman, Matthew Jankowski, Andre De Menezes Silva Corraes, Malvika Gupta, Monica L. Shaw, Madiha Iqbal, Talal Hilal, Saurabh Chhabra, Ricardo Daniel Parrondo, Jody K. Mclean, Kim R. Riester, Kayla Joseph, Melinda Tan, Holly Ross, Cleyonia Barnett, Sylvia Carter, Semy Girmay, Rachel Wolan, Milana Ramsey, Christian Downhour, Kristy Morgan, Shae Sibley, Erica Rushing, Lucy Holmes, Allison Burgstahler, Stephen M. Ansell, Hassan Alkhateeb, Matthew Hathcock, Ramona Bruno, Allison C. Rosenthal, Hemant Murthy, Patrick B. Johnston, Jonas Paludo, Yi Lin
• 2741 · PDF 基于大语言模型的血液/肿瘤科患者消息分诊：性能、安全性与临床意义 Large language model-based triage of Hematology/Oncology patient messages: Performance, safety, and clinical implications Dinh Nguyen, Sinjin Lee, Brett Anwar, Mason Kellogg, Ronil Synghal, Khang Nguyen
• 2742 2742 一种领域专业化、可扩展且具临床相关性的人工智能流程，用于自动化卵巢癌影像报告的标准化O-RADS分层 An artificial intelligence domain-specialized scalable and clinically relevant pipeline to automate standardized O-RADS stratification for imaging reports in ovarian cancer Asmi Agarwal, Min Ren, Jingjing Gong, Richard Selinfreund, Ruchika Goel, Yanhui Guo
• 2743 · PDF 部署人工智能驱动的数字病理学以支持胰腺癌真实世界临床决策 Deploying artificial intelligence driven digital pathology for real world clinical decision-making in pancreatic cancer Ashish Manne, Alejandro Leya, Abdul Rehman Akbar, Upender Manne, Anne Noonan, Anup Kasi, Ashwini Esnakula, Ravi Paluri, Anil Vasdev Parwani, Muhammad Khalid Khan Niazi
• 2744 · PDF 自动化乳腺癌患者的临床和病理分期 Automating clinical and pathological staging for breast cancer patients Arshad Mohammed, Umair Ayub, Pooja Advani, Shakeela W. Bahadur, Amye J. Tevaarwerk, Tufia C. Haddad, Elisabeth I. Heath, Brenda J. Ernst, Ben Zhou, Cui Tao, Sara J. Holton, Karthik V. Giridhar, Irbaz B. Riaz
• 2745 · PDF 在癌症沟通中患者更青睐ChatGPT而非医生的回应 Patients prefer ChatGPT to physician responses in cancer communication Aaron Segura, Bernard Tawfik, Ben Liem, Zoneddy Dayao, David Y. Lee, Jacklyn M. Nemunaitis, David Savage, Moises Harari-Turquie, Nicole Hill, Charles Foucar, Amy Tarnower, Dulcinea Quintana, Jude Khatib, Thomas Schroeder, Martha Mapalo, Yolanda Sanchez, Ramesh Gopal
• 2746 · PDF AI与人工在骨关节炎低剂量放射治疗中对疼痛评分和镇痛趋势的数据提取比较：一项一致性研究 AI vs human abstraction of pain scores and analgesic trends in low-dose radiation therapy for osteoarthritis: A concordance study Camille Schwartz, Michael Anderson, Kelsey Moakler, Bradley Newby, David Davenport, Matthew Schwartz
• 2747 · PDF 来源规范至关重要：以指南为锚定的大语言模型在急性白血病决策支持中优于Open Evidence Source discipline matters: Guideline anchored large language model outperforms Open Evidence for decision support in acute leukemias Peter Palumbo, Connor Yost, Emilio Del Toro, Demetrios Garbis, Peter Odutola, Yash Kumar, Arturo Loaiza, Matthew Sullivan
• 2748 2748 Arkangel AI、OpenEvidence、ChatGPT、Medisearch：它们是否客观上达到了医学标准？对医疗领域LLM的真实世界评估 Arkangel AI, OpenEvidence, ChatGPT, Medisearch: Are they objectively up to medical standards? A real-life assessment of LLMs in healthcare Natalia Castano -Villegas, Maria Camila Villa, Katherine Monsalve, Isabella Llano, Laura Velásquez, Jose Zea
• 2749 2749 面向癌症免疫治疗中治疗相关不良事件的基础模型 Towards a foundation model for treatment-related adverse events in cancer immunotherapy Bin Baek, Tingyi Li, Biwei Cao, Xiaqing Yu, Xuefeng Wang
• 2750 · PDF 利用本地部署的peta级语言模型从病理报告中进行MSI分类以快速整理结肠癌队列 Rapid curation of colon cancer cohorts using on-site peta-scale language model for MSI classification from pathology reports Joshua Jay Levy, Nathalie Nguyen, Minh-Khang Le, Keluo Yao, Jane Figueiredo
• 2751 · PDF 从真实世界MTB数据中提取基于大语言模型的分子层面患者相似性 Large language model-derived molecular patient similarity from real-world MTB data Sophie Lugani, Oğuz Serbetci, Alexander Reinicke, Benedikt Körtum, Berkay Özdin, Thomas Debertshäuser, Dominik Modest, Ulrich Keilholz, Ulf Leser, Manuela Benary
• 2752 · PDF CancerSTFormer实现spot分辨率空间转录组的多尺度分析并剖析靶向治疗的基因和免疫调控反应 CancerSTFormer enables multi-scale analysis of spot-resolution spatial transcriptomes and dissects the gene and immune regulatory responses of targeted therapies Benjamin Strope, Dana Varghese, William Bowie, Stacy Wang, Qian Zhu
• 2753 · PDF 利用大语言模型进行本体引导的分层细胞分型以分析肿瘤微环境 Ontology-guided hierarchical cell typing with large language models for analyzing tumor microenvironment Jeongbin Park, Yuchang Seong, Hongyoon Choi
• 2754 · PDF VGL：整合组织病理学与基因表达的视觉-基因-语言多模态LLM用于肺癌细胞类型分类 VGL: Vision-Gene-Language multimodal LLM integrating histopathology and gene expression for cell type classification in lung cancer Haenara Shin, Dongjoo Lee, Jeongbin Park, Hongyoon Choi
• 2755 · PDF 大型语言模型大规模提取不良事件揭示治疗毒性的潜在结构 Large scale extraction of adverse events by large language models uncovers latent structure of treatment toxicity John Lazar, Divneet Mandair, Catherine C. Smith, Travis Zack
• 2756 · PDF 用于分析异质性乳腺癌患者基因组报告的LLM框架的开发 Development of an LLM framework for analysis of heterogeneous breast cancer patients genomic reports Krishna Rani Kalari, Xiaojia Tang, Thanmayee Boyapati, Tanya L. Hoskin, Sumathilatha Myla, Sumedha G. Penheiter, Richard M. Weinshilboum, Liewei Wang, Hamid R. Tizhoosh, Karthik Vikram Giridhar, Matthew P. Goetz, Judy C. Boughey
• 2757 · PDF 规模与速度并重：借助AtoMx® SIP运行快速、交互式假设驱动工作流的全转录组空间分析 Scale meets Speed: A transcriptome-wide spatial analysis that runs a rapid and interactive hypothesis-driven workflow with AtoMx ® SIP Evelyn R. Metzger, Patrick Danaher, Nicole Ortogero, Sayani Bhattacharjee, Prajan Divakar, Joseph M. Beechem
• 2758 · PDF 使用基于注意力的深度学习框架从横纹肌肉瘤全切片图像检测PAX3/7::FOXO1融合并预测转录组：一项多机构研究 PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study Dorsa Ziaei, Hyun Jung, Philip J. Lupo, Pagna Sok, Jack F. Shern, Corinne M. Linardic, Syed Abbas Bukhari, Hsein-Chao Chou, Jun S. Wei, Curtis Lisle, Uma Mudunuri, Javed Khan
• 2759 · PDF 一个用于改善抗体稳定性和优化亲和力的创新AI平台 An innovative AI-based platform for antibody stability improvement and affinity optimization Yiran Li, Hao Peng, Xinyu Bian, Hui Zhao, Yang Li, Panpan Zhang, Jinying Ning, Feng Hao
• 2761 · PDF 大型语言模型衍生的重新情境化揭示跨癌症的功能图景 Large language model-derived re-contextualization reveals functional landscapes across cancers Yibing Guo, Yanhao Tan, Chien-Hung Shih, Li-Ju Wang, Yu-Chiao Chiu
• 2762 · PDF 基于LLM的免疫治疗毒性提取揭示严重程度依赖性的总生存期效应 LLM-based extraction of immunotherapy toxicities reveals severity-dependent effects on overall survival Zeyun Lu, Mustafa Saleh, Charles Lu, Intae Moon, Razane El Hajj Chehade, Elio Ibrahim, Yevgeniy R. Semenov, Toni K. Choueiri, Alexander Gusev
• 2763 · PDF 利用大型语言模型将病理报告分类到本体层级结构中 Leveraging large language models to classify pathology reports into ontological hierarchies Brenda Fried, Ali Kamali, Cesar Colorado-Jimenez, Melissa Pulitzer, David Kim, Leonardo Boiocchi, Alexander Chan, Mariko Yabe, Mikhail Roshal, Syed Aijazuddin, Ahmet Dogan, Chad Vanderbilt, Khawaja Hassan Bilal, Gregory Goldgof
• 2764 · PDF 利用人工智能最大化高危偶发肺结节的转诊 Maximizing high-risk incidental pulmonary nodule referrals using artificial intelligence Ivan M. Marrufo, Raymond Johnson, Samuel Newman, Paras Patel, Kalyani Narra
• 2765 · PDF 癌症的微生物组基础模型：MiFM衍生的连续轨迹和风险时钟用于泛癌种免疫治疗应答预测 Microbiome foundation modeling of cancer: MiFM-derived continuous trajectories and risk clocks for pan-cancer immunotherapy response prediction Hongru Shen, Yajing Bi, Yan Zong, Zhangyan Lyu, Chao Zhang, Kexin Chen, Xiangchun Li
• 2766 · PDF 自监督学习在血小板RNA中定义了一个通用的恶性肿瘤生物标志物 Self-supervised learning defines a universal biomarker of malignancy in platelet RNA Hongru Shen, Yan Zong, Yajing Bi, Jilei Liu, Chen Lyu, Fangyu Shi, Yichen Yang, Meng Yang, Yang Li, Kexin Chen, Xiangchun Li

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