Zobrazeno 1 - 10
of 204
pro vyhledávání: '"James Zou"'
Autor:
Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Rachel K. Lim, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract Despite the importance of informed consent in healthcare, the readability and specificity of consent forms often impede patients’ comprehension. This study investigates the use of GPT-4 to simplify surgical consent forms and introduces an
Externí odkaz:
https://doaj.org/article/6ac331ae728a4e08b70ef37ec85b97d3
Autor:
Teresa P. Nguyen, Brendan Carvalho, Hannah Sukhdeo, Kareem Joudi, Nan Guo, Marianne Chen, Jed T. Wolpaw, Jesse J. Kiefer, Melissa Byrne, Tatiana Jamroz, Allison A. Mootz, Sharon C. Reale, James Zou, Pervez Sultan
Publikováno v:
BJA Open, Vol 10, Iss , Pp 100280- (2024)
Background: Patients are increasingly using artificial intelligence (AI) chatbots to seek answers to medical queries. Methods: Ten frequently asked questions in anaesthesia were posed to three AI chatbots: ChatGPT4 (OpenAI), Bard (Google), and Bing C
Externí odkaz:
https://doaj.org/article/b163ffcd7e6e4461abf96a73ad0979b9
Autor:
Kirsten R. Steffner, Matthew Christensen, George Gill, Michael Bowdish, Justin Rhee, Abirami Kumaresan, Bryan He, James Zou, David Ouyang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex cardiac pathology and the management of cardiac surgery patients. A key limitation to the application of deep learning strategies to intraoperat
Externí odkaz:
https://doaj.org/article/42f79ba60de84a0dbd4e762978d628b1
Autor:
Md Tauhidul Islam, Zixia Zhou, Hongyi Ren, Masoud Badiei Khuzani, Daniel Kapp, James Zou, Lu Tian, Joseph C. Liao, Lei Xing
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract Deep neural networks (DNNs) extract thousands to millions of task-specific features during model training for inference and decision-making. While visualizing these features is critical for comprehending the learning process and improving th
Externí odkaz:
https://doaj.org/article/6ddcc4df9b8441759a6f14eaf0a563ee
Autor:
Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Michael E. Belloy, Hua Tang, James Zou, Zihuai He
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using data from participants with similar (mostly European) ancestry. This can lead to biases in t
Externí odkaz:
https://doaj.org/article/7ee2b42c6f4544aaaf46e766147b02dd
Autor:
J. Weston Hughes, James Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Kai Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert Rogers, Sanjiv Narayan, Pierre Elias, David Ouyang, Euan Ashley, James Zou, Marco V. Perez
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract The electrocardiogram (ECG) is the most frequently performed cardiovascular diagnostic test, but it is unclear how much information resting ECGs contain about long term cardiovascular risk. Here we report that a deep convolutional neural net
Externí odkaz:
https://doaj.org/article/f1cfc88dfe30498bb4bca60c0ff1550a
Autor:
Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules B. Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Images depicting dark skin tones are significantly underrepresented in the educational materials used to teach primary care physicians and dermatologists to recognize skin diseases. This could contribute to disparities in skin disease diagno
Externí odkaz:
https://doaj.org/article/0b3cc841ae2c48ca92f068d15d2a5ec8
Autor:
Prasanth Ganesan, Ruibin Feng, Brototo Deb, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zaharia, Sanjiv M. Narayan
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1538 (2024)
Background: Segmenting computed tomography (CT) is crucial in various clinical applications, such as tailoring personalized cardiac ablation for managing cardiac arrhythmias. Automating segmentation through machine learning (ML) is hindered by the ne
Externí odkaz:
https://doaj.org/article/4d4ba4f2625544aeb5cb779c3fca69ab
Autor:
Betty Xiong, MS, James Zou, PhD, Waqar Ali, DPhil, Roxana Daneshjou, MD, PhD, Jonathan Williams, BSc
Publikováno v:
JAAD International, Vol 14, Iss , Pp 29-30 (2024)
Externí odkaz:
https://doaj.org/article/b5b571b24e944a8a8a83f06001381a56
Autor:
Yinjie Jiang, Yemin Yu, Ming Kong, Yu Mei, Luotian Yuan, Zhengxing Huang, Kun Kuang, Zhihua Wang, Huaxiu Yao, James Zou, Connor W. Coley, Ying Wei
Publikováno v:
Engineering, Vol 25, Iss , Pp 32-50 (2023)
In recent years, there has been a dramatic rise in interest in retrosynthesis prediction with artificial intelligence (AI) techniques. Unlike conventional retrosynthesis prediction performed by chemists and by rule-based expert systems, AI-driven ret
Externí odkaz:
https://doaj.org/article/7b1ecaad58d04761aa0f03e1dc880d8e