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

Brookite-phase TiO₂ synthesized by Spinacia oleracea: structure, photocatalytic activity and light-enhanced antimicrobial efficacy

利用菠菜(Spinacia oleracea)合成板钛矿相二氧化钛:结构、光催化活性及光增强抗菌功效

Sheikh Ansari, Fatemeh; Daneshjou, Sara

Nonlinear stability and vibration of flexible spacecraft solar arrays under thermally induced flutter during the penumbra phase

半影阶段热致颤动下柔性航天器太阳能电池阵列的非线性稳定性和振动

Motaharifard, Omid; Daneshjou, Kamran; Bakhtiari, Majid

The TRIPOD-LLM reporting guideline for studies using large language models

TRIPOD-LLM 大型语言模型研究报告指南

Gallifant, Jack; Afshar, Majid; Ameen, Saleem; Aphinyanaphongs, Yindalon; Chen, Shan; Cacciamani, Giovanni; Demner-Fushman, Dina; Dligach, Dmitriy; Daneshjou, Roxana; Fernandes, Chrystinne; Hansen, Lasse Hyldig; Landman, Adam; Lehmann, Lisa; McCoy, Liam G; Miller, Timothy; Moreno, Amy; Munch, Nikolaj; Restrepo, David; Savova, Guergana; Umeton, Renato; Gichoya, Judy Wawira; Collins, Gary S; Moons, Karel G M; Celi, Leo A; Bitterman, Danielle S

Reply to "When do large language models cross the line: "reasoning" red teaming in healthcare"

回复“大型语言模型何时越界:医疗保健领域的‘推理’红队演练”

Daneshjou, Roxana

Policy brief: AI-first Medicaid: how CMS can build a smarter safety net with Precision Benefits

政策简报:人工智能优先的医疗补助计划:CMS如何利用精准福利构建更智能的安全网

Favini, Nathan; Batlivala, Neil; Mijic, Marko; Daneshjou, Roxana

Cognitive bias in clinical large language models

临床大型语言模型中的认知偏差

Mahajan, Arjun; Obermeyer, Ziad; Daneshjou, Roxana; Lester, Jenna; Powell, Dylan

Global Initiative on AI for Health (GI-AI4H): strategic priorities advancing governance across the United Nations

全球人工智能促进健康倡议(GI-AI4H):推进联合国治理的战略重点

Muralidharan, Vijaytha; Ng, Madelena Y; AlSalamah, Shada; Pujari, Sameer; Kalra, Kanika; Singh, Rajeshwari; Schalet, Denise; Olantuji, Tobi; Malpani, Rohit; Matin, Rubeta N; Omiye, Jesutofunmi A; Zhao, Yu; Sands, Anita; Reis, Andreas; Diaz Mendoza, Jose Eduardo; Hernandez-Boussard, Tina; Daneshjou, Roxana; Labrique, Alain B

A longitudinal analysis of declining medical safety messaging in generative AI models

对生成式人工智能模型中医疗安全信息传递下降趋势的纵向分析

Sharma, Sonali; Alaa, Ahmed M; Daneshjou, Roxana

Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label

利用数据集营养标签提高皮肤病人工智能数据集的透明度

Li, Yingjoy; Taylor, Matthew; Chmielinski, Kasia S; Halpern, Allan C; Daneshjou, Roxana; Lester, Jenna C; Rotemberg, Veronica

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

在医学领域对 ChatGPT 进行红队演练,以获得关于模型行为的真实世界见解

Chang, Crystal T; Farah, Hodan; Gui, Haiwen; Rezaei, Shawheen Justin; Bou-Khalil, Charbel; Park, Ye-Jean; Swaminathan, Akshay; Omiye, Jesutofunmi A; Kolluri, Akaash; Chaurasia, Akash; Lozano, Alejandro; Heiman, Alice; Jia, Allison Sihan; Kaushal, Amit; Jia, Angela; Iacovelli, Angelica; Yang, Archer; Salles, Arghavan; Singhal, Arpita; Narasimhan, Balasubramanian; Belai, Benjamin; Jacobson, Benjamin H; Li, Binglan; Poe, Celeste H; Sanghera, Chandan; Zheng, Chenming; Messer, Conor; Kettud, Damien Varid; Pandya, Deven; Kaur, Dhamanpreet; Hla, Diana; Dindoust, Diba; Moehrle, Dominik; Ross, Duncan; Chou, Ellaine; Lin, Eric; Haredasht, Fateme Nateghi; Cheng, Ge; Gao, Irena; Chang, Jacob; Silberg, Jake; Fries, Jason A; Xu, Jiapeng; Jamison, Joe; Tamaresis, John S; Chen, Jonathan H; Lazaro, Joshua; Banda, Juan M; Lee, Julie J; Matthys, Karen Ebert; Steffner, Kirsten R; Tian, Lu; Pegolotti, Luca; Srinivasan, Malathi; Manimaran, Maniragav; Schwede, Matthew; Zhang, Minghe; Nguyen, Minh; Fathzadeh, Mohsen; Zhao, Qian; Bajra, Rika; Khurana, Rohit; Azam, Ruhana; Bartlett, Rush; Truong, Sang T; Fleming, Scott L; Raj, Shriti; Behr, Solveig; Onyeka, Sonia; Muppidi, Sri; Bandali, Tarek; Eulalio, Tiffany Y; Chen, Wenyuan; Zhou, Xuanyu; Ding, Yanan; Cui, Ying; Tan, Yuqi; Liu, Yutong; Shah, Nigam; Daneshjou, Roxana