Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Loftus, P. J."'
Autor:
Zhang, Jiaqing, Contreras, Miguel, Bandyopadhyay, Sabyasachi, Davidson, Andrea, Sena, Jessica, Ren, Yuanfang, Guan, Ziyuan, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Nerella, Subhash, Bihorac, Azra, Rashidi, Parisa
Estimation of patient acuity in the Intensive Care Unit (ICU) is vital to ensure timely and appropriate interventions. Advances in artificial intelligence (AI) technologies have significantly improved the accuracy of acuity predictions. However, prio
Externí odkaz:
http://arxiv.org/abs/2412.17832
Autor:
Ma, Yingbo, Song, Yukyeong, Balch, Jeremy A., Ren, Yuanfang, Vellanki, Divya, Hu, Zhenhong, Brennan, Meghan, Kolla, Suraj, Guan, Ziyuan, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Rashidi, Parisa, Loftus, Tyler J., Bihorac, Azra, Shickel, Benjamin
As more clinical workflows continue to be augmented by artificial intelligence (AI), AI literacy among physicians will become a critical requirement for ensuring safe and ethical AI-enabled patient care. Despite the evolving importance of AI in healt
Externí odkaz:
http://arxiv.org/abs/2407.18939
Autor:
Ren, Yuanfang, Tripathi, Chirayu, Guan, Ziyuan, Zhu, Ruilin, Hougha, Victoria, Ma, Yingbo, Hu, Zhenhong, Balch, Jeremy, Loftus, Tyler J., Rashidi, Parisa, Shickel, Benjamin, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Given the sheer volume of surgical procedures and the significant rate of postoperative fatalities, assessing and managing surgical complications has become a critical public health concern. Existing artificial intelligence (AI) tools for risk survei
Externí odkaz:
http://arxiv.org/abs/2404.16064
Autor:
Ma, Yingbo, Kolla, Suraj, Hu, Zhenhong, Kaliraman, Dhruv, Nolan, Victoria, Guan, Ziyuan, Ren, Yuanfang, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Balch, Jeremy A., Loftus, Tyler J., Rashidi, Parisa, Bihorac, Azra, Shickel, Benjamin
Modern electronic health records (EHRs) hold immense promise in tracking personalized patient health trajectories through sequential deep learning, owing to their extensive breadth, scale, and temporal granularity. Nonetheless, how to effectively lev
Externí odkaz:
http://arxiv.org/abs/2404.06723
Autor:
Park, Yonggi, Ren, Yuanfang, Shickel, Benjamin, Guan, Ziyuan, Patela, Ayush, Ma, Yingbo, Hu, Zhenhong, Loftus, Tyler J., Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Background: The accurate prediction of postoperative complication risk using Electronic Health Records (EHR) and artificial intelligence shows great potential. Training a robust artificial intelligence model typically requires large-scale and diverse
Externí odkaz:
http://arxiv.org/abs/2404.06641
Autor:
Ma, Yingbo, Kolla, Suraj, Kaliraman, Dhruv, Nolan, Victoria, Hu, Zhenhong, Guan, Ziyuan, Ren, Yuanfang, Armfield, Brooke, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler J., Rashidi, Parisa, Bihorac, Azra, Shickel, Benjamin
The breadth, scale, and temporal granularity of modern electronic health records (EHR) systems offers great potential for estimating personalized and contextual patient health trajectories using sequential deep learning. However, learning useful repr
Externí odkaz:
http://arxiv.org/abs/2403.04012
Autor:
Ren, Yuanfang, Li, Yanjun, Loftus, Tyler J., Balch, Jeremy, Abbott, Kenneth L., Datta, Shounak, Ruppert, Matthew M., Guan, Ziyuan, Shickel, Benjamin, Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Initial hours of hospital admission impact clinical trajectory, but early clinical decisions often suffer due to data paucity. With clustering analysis for vital signs within six hours of admission, patient phenotypes with distinct pathophysiological
Externí odkaz:
http://arxiv.org/abs/2307.15719
Autor:
Ren, Yuanfang, Loftus, Tyler J., Guan, Ziyuan, Uddin, Rayon, Shickel, Benjamin, Maciel, Carolina B., Busl, Katharina, Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan
In the United States, more than 5 million patients are admitted annually to ICUs, with ICU mortality of 10%-29% and costs over $82 billion. Acute brain dysfunction status, delirium, is often underdiagnosed or undervalued. This study's objective was t
Externí odkaz:
http://arxiv.org/abs/2303.05504
Autor:
Ren, Yuanfang, Balch, Jeremy, Abbott, Kenneth L., Loftus, Tyler J., Shickel, Benjamin, Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan
Continuous monitoring and patient acuity assessments are key aspects of Intensive Care Unit (ICU) practice, but both are limited by time constraints imposed on healthcare providers. Moreover, anticipating clinical trajectories remains imprecise. The
Externí odkaz:
http://arxiv.org/abs/2005.05163
Autor:
Li, Yanjun, Ren, Yuanfang, Loftus, Tyler J., Datta, Shounak, Ruppert, M., Guan, Ziyuan, Wu, Dapeng, Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
Background: During the early stages of hospital admission, clinicians must use limited information to make diagnostic and treatment decisions as patient acuity evolves. However, it is common that the time series vital sign information from patients t
Externí odkaz:
http://arxiv.org/abs/2004.13066