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

AI-Powered Pipeline Transforms Neurosurgical Articles Into High-Quality Graphical Abstracts

人工智能驱动的流程将神经外科文章转化为高质量的图形摘要

Alyakin, Anton; Stryker, Jaden; Lee, Jin Vivian; Feng, Rui; Hollon, Todd; Kondziolka, Douglas; Oermann, Eric Karl

A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations

用于交互式神经外科教育和评估的多人工智能代理框架:从情景模拟到虚拟对话

Sangwon, Karl L; Zhang, Jeff; Steele, Robert; Stryker, Jaden; Choi, Joanne J; Lee, Jin Vivian; Alber, Daniel Alexander; Valliani, Aly; Kannapadi, Nivedha; Ryoo, James; Feng, Austin; Khan, Hammad A; Neifert, Sean; Orillac, Cordelia; Weiss, Hannah K; Kim, Nora C; Kurland, David; Riina, Howard A; Kondziolka, Douglas; Mankowski, Michal; Oermann, Eric Karl

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations

通才基金会模式不足以满足医院运营的临床需求。

Jiang, Lavender Y; Chen, Angelica; Han, Xu; Liu, Xujin Chris; Dua, Radhika; Eaton, Kevin; Wolff, Frederick; Steele, Robert; Zhang, Jeff; Alyakin, Anton; Pan, Qingkai; Chen, Yanbing; Sangwon, Karl L; Alber, Daniel A; Stryker, Jaden; Lee, Jin Vivian; Aphinyanaphongs, Yindalon; Cho, Kyunghyun; Oermann, Eric Karl

Medical large language models are vulnerable to data-poisoning attacks

大型医学语言模型容易受到数据投毒攻击

Alber, Daniel Alexander; Yang, Zihao; Alyakin, Anton; Yang, Eunice; Rai, Sumedha; Valliani, Aly A; Zhang, Jeff; Rosenbaum, Gabriel R; Amend-Thomas, Ashley K; Kurland, David B; Kremer, Caroline M; Eremiev, Alexander; Negash, Bruck; Wiggan, Daniel D; Nakatsuka, Michelle A; Sangwon, Karl L; Neifert, Sean N; Khan, Hammad A; Save, Akshay Vinod; Palla, Adhith; Grin, Eric A; Hedman, Monika; Nasir-Moin, Mustafa; Liu, Xujin Chris; Jiang, Lavender Yao; Mankowski, Michal A; Segev, Dorry L; Aphinyanaphongs, Yindalon; Riina, Howard A; Golfinos, John G; Orringer, Daniel A; Kondziolka, Douglas; Oermann, Eric Karl

The pitfalls of multiple-choice questions in generative AI and medical education

生成式人工智能和医学教育中多项选择题的弊端

Singh, Shrutika; Alyakin, Anton; Alber, Daniel Alexander; Stryker, Jaden; Tong, Ai Phuong S; Sangwon, Karl; Goff, Nicolas; De La Paz, Mathew; Hernandez-Rovira, Miguel; Park, Ki Yun; Leuthardt, Eric Claude; Oermann, Eric Karl

Neuro Data Hub: A New Approach for Streamlining Medical Clinical Research

神经数据中心:一种简化医学临床研究的新方法

Han, Xu; Alyakin, Anton; Ciprut, Shannon; Lapierre, Cathryn; Stryker, Jaden; Golfinos, John; Kondziolka, Douglas; Oermann, Eric Karl

Longitudinal deep neural networks for assessing metastatic brain cancer on a large open benchmark

用于评估大型开放基准数据集上的转移性脑癌的纵向深度神经网络

Link, Katherine E; Schnurman, Zane; Liu, Chris; Kwon, Young Joon Fred; Jiang, Lavender Yao; Nasir-Moin, Mustafa; Neifert, Sean; Alzate, Juan Diego; Bernstein, Kenneth; Qu, Tanxia; Chen, Viola; Yang, Eunice; Golfinos, John G; Orringer, Daniel; Kondziolka, Douglas; Oermann, Eric Karl

Changing Causes of US Neurological Disease Mortality From 1999 to 2017

1999年至2017年美国神经系统疾病死亡原因的变化

Neifert, Sean N; McNeill, Ian T; Rothrock, Robert J; Caridi, John M; Mocco, J; Oermann, Eric Karl

Deep Learning and Neurology: A Systematic Review

深度学习与神经病学:系统性综述

Valliani, Aly Al-Amyn; Ranti, Daniel; Oermann, Eric Karl

Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging

利用磁共振高级成像技术,通过机器学习实现胶质母细胞瘤、脑转移瘤和中枢神经系统淋巴瘤的半自动分类。

Swinburne, Nathaniel C; Schefflein, Javin; Sakai, Yu; Oermann, Eric Karl; Titano, Joseph J; Chen, Iris; Tadayon, Sayedhedayatollah; Aggarwal, Amit; Doshi, Amish; Nael, Kambiz