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

LIFE-UP Day audit to monitor implementation of post-intensive care syndrome prevention practices: a multicentre cross-sectional study in Belgian intensive care units

LIFE-UP 日审核旨在监测重症监护后综合征预防措施的实施情况:一项在比利时重症监护病房开展的多中心横断面研究

Rousseau, Anne-Françoise; Khai, Nabile; D'Orio, Virginie; Fraipont, Vincent; Gurdebeke, Christine; Minguet, Grégory; Pinck, Eric; Verscheure, Sara; Wertz, Damien; Lambermont, Bernard; Berger-Estilita, Joana

Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

放射学应用人工智能教学:AAPM、ACR、RSNA 和 SIIM 联合推荐的教学大纲

Kitamura, Felipe; Kline, Timothy; Warren, Daniel; Moy, Linda; Daneshjou, Roxana; Maleki, Farhad; Santos, Igor; Gichoya, Judy; Wiggins, Walter; Bialecki, Brian; O'Donnell, Kevin; Flanders, Adam E; Morgan, Matt; Safdar, Nabile; Andriole, Katherine P; Geis, Raym; Allen, Bibb; Dreyer, Keith; Lungren, Matt; Wood, Monica J; Kohli, Marc; Langer, Steve; Shih, George; Farina, Eduardo; Kahn, Charles E Jr; Reiser, Ingrid; Giger, Maryellen; Wald, Christoph; Mongan, John; Cook, Tessa; Tenenholtz, Neil

Prevalence and independent predictors of Iron deficiency in Yemeni patients with congestive heart failure: a retrospective cross-sectional study

也门充血性心力衰竭患者缺铁的患病率及其独立预测因素:一项回顾性横断面研究

Abdullah, Mohammed; Abdo, Basheer; Ahmed, Faisal; Alzanen, Khaled; Albadani, Nabile; Badheeb, Mohamed

Lessons Learned in Change Management in Deploying Novel Informatics Solutions: Experience Implementing a Point-of-Care Patient Photography System with Radiography

在部署新型信息解决方案的过程中,变革管理方面的经验教训:实施床旁患者摄影系统与放射成像技术的经验

Wick, Carson A; Tridandapani, Srini; Heilbrun, Marta E; Hanna, Tarek; Safdar, Nabile; Bhatti, Pamela

AI pitfalls and what not to do: mitigating bias in AI

人工智能的陷阱和禁忌:减少人工智能中的偏见

Gichoya, Judy Wawira; Thomas, Kaesha; Celi, Leo Anthony; Safdar, Nabile; Banerjee, Imon; Banja, John D; Seyyed-Kalantari, Laleh; Trivedi, Hari; Purkayastha, Saptarshi

Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice

放射学实践中用于安全、质量、工作流程和教育应用的非解释性人工智能模型概述

Tadavarthi, Yasasvi; Makeeva, Valeria; Wagstaff, William; Zhan, Henry; Podlasek, Anna; Bhatia, Neil; Heilbrun, Marta; Krupinski, Elizabeth; Safdar, Nabile; Banerjee, Imon; Gichoya, Judy; Trivedi, Hari

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

基于机器学习和实时放射影像处理流程的DICOM框架

Kathiravelu, Pradeeban; Sharma, Puneet; Sharma, Ashish; Banerjee, Imon; Trivedi, Hari; Purkayastha, Saptarshi; Sinha, Priyanshu; Cadrin-Chenevert, Alexandre; Safdar, Nabile; Gichoya, Judy Wawira

The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings

放射学人工智能现状:购买决策考量及当前市场产品

Tadavarthi, Yasasvi; Vey, Brianna; Krupinski, Elizabeth; Prater, Adam; Gichoya, Judy; Safdar, Nabile; Trivedi, Hari

Initial Experience With Patient Visible Light Images Obtained Simultaneously With Portable Radiographs

初步经验:同时获取患者可见光图像和便携式X光片

Tridandapani, Srini; Bhatti, Pamela; Krupinski, Elizabeth; Safdar, Nabile; Wick, Carson

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

放射学中人工智能的伦理问题:欧洲和北美多学会联合声明摘要

Geis, J Raymond; Brady, Adrian; Wu, Carol C; Spencer, Jack; Ranschaert, Erik; Jaremko, Jacob L; Langer, Steve G; Kitts, Andrea Borondy; Birch, Judy; Shields, William F; van den Hoven van Genderen, Robert; Kotter, Elmar; Gichoya, Judy Wawira; Cook, Tessa S; Morgan, Matthew B; Tang, An; Safdar, Nabile M; Kohli, Marc