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

Prehospital real-time AI for trauma mortality prediction: a multi-institutional and multi-national validation study

院前实时人工智能在创伤死亡率预测中的应用:一项多机构、多国验证研究

Oh, Na-Eun; Oh, Thomas Young-Chul; Hsu, Jeremy; Kim, Do Wan; Yu, Byungchul; Cho, Jayun; Seok, Junepill; Lee, Jin Young; Jang, Woocheol; Kim, Jina; Femia, Robert J; Testa, Paul A; Yon, Dong Keon; Sodickson, Daniel K; Kang, Wu Seong; Lee, Jinseok

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study

基于损伤严重程度评分的人工智能与创伤患者死亡率相关的准确、公平且可推广的人口统计学指标的缩放:一项多中心、多国回顾性队列研究

Choi, Yunjeong; Seok, Junepill; Young-Chul Oh, Thomas; Hsu, Jeremy; Kim, Do Wan; Yu, Byungchul; Cho, Jayun; Jang, Woocheol; Kim, Jina; Oh, Na-Eun; Ahn, Jehyeuk; Femia, Robert J; Testa, Paul A; Yon, Dong Keon; Sodickson, Daniel K; Kang, Wu Seong; Lee, Jinseok

Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies

利用表征学习对双参数前列腺MRI进行分析,以消除PI-RADS 3的歧义并改进活检决策策略

Umapathy, Lavanya; Johnson, Patricia M; Dutt, Tarun; Tong, Angela; Chopra, Sumit; Sodickson, Daniel K; Chandarana, Hersh

Artificial Intelligence in Prostate MRI: Addressing Current Limitations Through Emerging Technologies

人工智能在前列腺磁共振成像中的应用:通过新兴技术克服当前局限性

Johnson, Patricia M; Umapathy, Lavanya; Gigax, Bradley; Rossi, Juan Kochen; Tong, Angela; Bruno, Mary; Sodickson, Daniel K; Nayan, Madhur; Chandarana, Hersh

A Trust-Guided Approach to MR Image Reconstruction With Side Information

基于信任的磁共振图像重建方法及其与侧信息的关联

Atalik, Arda; Chopra, Sumit; Sodickson, Daniel K

Photon-Counting CT: Technology, Current and Potential Future Clinical Applications, and Overview of Approved Systems and Those in Various Stages of Research and Development

光子计数CT:技术、当前及未来潜在的临床应用,以及已获批准系统和处于不同研发阶段系统的概述

Schwartz, Fides R; Sodickson, Aaron D; Pickhardt, Perry J; Sahani, Dushyant V; Lev, Michael H; Gupta, Rajiv

Multimodal generative AI for interpreting 3D medical images and videos

用于解读 3D 医学图像和视频的多模态生成式人工智能

Lee, Jung-Oh; Zhou, Hong-Yu; Berzin, Tyler M; Sodickson, Daniel K; Rajpurkar, Pranav

Computed Tomographic Angiography and Yield for Gastrointestinal Bleeding in the Emergency Department

计算机断层血管造影术在急诊科诊断胃肠道出血的价值

Prasad, Siona; Hood, C Michael; Young, Cameron; Hirsch, Joshua A; Saini, Sanjay; Sodickson, Aaron D; Lev, Michael H; Raja, Ali S; Gee, Michael S; Whitehead, David C; Succi, Marc D

T1 Relaxation-Enhanced Steady-State Acquisition With Radial k-Space Sampling: A Novel Family of Pulse Sequences for Motion-Robust Volumetric T1-Weighted MRI With Improved Lesion Conspicuity

基于径向k空间采样的T1弛豫增强稳态采集:一种新型脉冲序列,用于运动鲁棒的容积T1加权MRI,并提高病灶的清晰度

Zi, Ruoxun; Edelman, Robert R; Maier, Christoph; Keerthivasan, Mahesh; Lattanzi, Riccardo; Sodickson, Daniel K; Block, Kai Tobias

Change in Emergency Department Length of Stay following Routine Adoption of Dual-Energy CT to Differentiate Intracranial Hemorrhage from Calcification

常规采用双能量CT鉴别颅内出血与钙化后,急诊科患者停留时间的变化

Tran, Ngoc-Anh; Potter, Christopher A; Bay, Camden; Sodickson, Aaron D