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

New model, old risks: sociodemographic bias and adversarial hallucinations vulnerability in GPT-5

新模型,旧风险:GPT-5 中的社会人口统计学偏差和对抗性幻觉脆弱性

Omar, Mahmud; Agbareia, Reem; Apakama, Donald U; Horowitz, Carol R; Freeman, Robert; Charney, Alexander W; Nadkarni, Girish N; Klang, Eyal

Discovery of Fragment-Based Inhibitors of SARS-CoV-2 PL(Pro)

SARS-CoV-2 PL(Pro)片段抑制剂的发现

Wei, Qiangqiang; Taylor, Ashley J; Barmade, Mahesh Angadrao; Teuscher, Kevin B; Chowdhury, Somanath; Apakama, Chideraa; Anderson-Daniels, Jordan; Yongqing, Zhu; Schultz, David C; Rietz, Tyson A; South, Taylor M; Crow, Mackenzie M; Zhao, Bin; Amporndanai, Kangsa; Sensintaffar, John L; Phan, Jason; Cherry, Sara; Denison, Mark; Lee, Taekyu; Fesik, Stephen W

Discovery of Spiro[chromane-2,4'-piperidine] Derivatives as Irreversible Inhibitors of SARS-CoV-2 Papain-like Protease

发现螺[色满-2,4'-哌啶]衍生物作为SARS-CoV-2木瓜蛋白酶样蛋白酶的不可逆抑制剂

Wei, Qiangqiang; Taylor, Ashley J; Miriyala, Nagaraju; Barmade, Mahesh A; Gentry, Zachary O; Anderson-Daniels, Jordan; Teuscher, Kevin B; Crow, Mackenzie M; Apakama, Chideraa; South, Taylor M; Rietz, Tyson A; Amporndanai, Kangsa; Phan, Jason; Sensintaffar, John L; Denison, Mark; Lee, Taekyu; Fesik, Stephen W

Understanding and Addressing Bias in Artificial Intelligence Systems: A Primer for the Emergency Medicine Physician

理解和解决人工智能系统中的偏见:急诊医学医师入门指南

Abbott, Ethan E; Rehman, Tehreem; Rosania, Anthony; Lum, Donald L; Taylor, Todd B; Kirk, A J; Taylor, R Andrew; Baker, Eileen F; Rabin, Elaine; Padela, Aasim; Genes, Nicholas; Srivastava, Atul; Sangal, Rohit B; Apakama, Donald

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

人工智能引导的床旁心脏超声检查中漏诊心肌病的检测:一项多中心研究

Oikonomou, Evangelos K; Vaid, Akhil; Holste, Gregory; Coppi, Andreas; McNamara, Robert L; Baloescu, Cristiana; Krumholz, Harlan M; Wang, Zhangyang; Apakama, Donald J; Nadkarni, Girish N; Khera, Rohan

Extracting International Classification of Diseases Codes from Clinical Documentation Using Large Language Models

利用大型语言模型从临床文档中提取国际疾病分类代码

Simmons, Ashley; Takkavatakarn, Kullaya; McDougal, Megan; Dilcher, Brian; Pincavitch, Jami; Meadows, Lukas; Kauffman, Justin; Klang, Eyal; Wig, Rebecca; Smith, Gordon; Soroush, Ali; Freeman, Robert; Apakama, Donald J; Charney, Alexander W; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit

New Model, Old Risks? Sociodemographic Bias and Adversarial Hallucinations Vulnerability in GPT-5

新模式,旧风险?GPT-5 中的社会人口统计学偏差和对抗性幻觉脆弱性

Omar, Mahmud; Agbareia, Reem; Apakama, Donald U; Horowitz, Carol R; Freeman, Robert; Charney, Alexander W; Nadkarni, Girish N; Klang, Eyal

Sociodemographic Bias in Large Language Model Clinical Trial Screening

大型语言模型临床试验筛选中的社会人口学偏差

Soffer, Shelly; Omar, Mahmud; Efros, Orly; Apakama, Donald U; Mudrik, Aya; Freeman, Robert; Nadkarni, Girish N; Klang, Eyal

Identifying Bias at Scale in Clinical Notes Using Large Language Models

利用大型语言模型大规模识别临床记录中的偏见

Apakama, Donald U; Nguyen, Kim-Anh-Nhi; Hyppolite, Daphnee; Soffer, Shelly; Mudrik, Aya; Ling, Emilia; Moses, Akini; Temnycky, Ivanka; Glasser, Allison; Anderson, Rebecca; Parchure, Prathamesh; Woullard, Evajoyce; Edalati, Masoud; Chan, Lili; Kronk, Clair; Freeman, Robert; Kia, Arash; Timsina, Prem; Levin, Matthew A; Khera, Rohan; Kovatch, Patricia; Charney, Alexander W; Carr, Brendan G; Richardson, Lynne D; Horowitz, Carol R; Klang, Eyal; Nadkarni, Girish N

LLM-Guided Pain Management: Examining Socio-Demographic Gaps in Cancer vs non-Cancer cases

法学硕士指导下的疼痛管理:探讨癌症患者与非癌症患者的社会人口学差异

Omar, Mahmud; Soffer, Shelly; Agbareia, Reem; Bragazzi, Nicola Luigi; Glicksberg, Benjamin S; Hurd, Yasmin L; Apakama, Donald U; Charney, Alexander W; Reich, David L; Nadkarni, Girish N; Klang, Eyal