Zobrazeno 1 - 10
of 25 972
pro vyhledávání: '"Loftus, A."'
Observations of the ultra-short period rocky exoplanet 55 Cancri e (55 Cnc e) indicate that the planet's dayside infrared radiation fluctuates by a factor of at least six on sub-weekly timescales, for unknown reasons. We propose a feedback mechanism
Externí odkaz:
http://arxiv.org/abs/2409.16270
Autor:
Pataranutaporn, Pat, Archiwaranguprok, Chayapatr, Chan, Samantha W. T., Loftus, Elizabeth, Maes, Pattie
AI is increasingly used to enhance images and videos, both intentionally and unintentionally. As AI editing tools become more integrated into smartphones, users can modify or animate photos into realistic videos. This study examines the impact of AI-
Externí odkaz:
http://arxiv.org/abs/2409.08895
Autor:
Chan, Samantha, Pataranutaporn, Pat, Suri, Aditya, Zulfikar, Wazeer, Maes, Pattie, Loftus, Elizabeth F.
This study examines the impact of AI on human false memories -- recollections of events that did not occur or deviate from actual occurrences. It explores false memory induction through suggestive questioning in Human-AI interactions, simulating crim
Externí odkaz:
http://arxiv.org/abs/2408.04681
Autor:
Fiotto-Kaufman, Jaden, Loftus, Alexander R, Todd, Eric, Brinkmann, Jannik, Juang, Caden, Pal, Koyena, Rager, Can, Mueller, Aaron, Marks, Samuel, Sharma, Arnab Sen, Lucchetti, Francesca, Ripa, Michael, Belfki, Adam, Prakash, Nikhil, Multani, Sumeet, Brodley, Carla, Guha, Arjun, Bell, Jonathan, Wallace, Byron, Bau, David
The enormous scale of state-of-the-art foundation models has limited their accessibility to scientists, because customized experiments at large model sizes require costly hardware and complex engineering that is impractical for most researchers. To a
Externí odkaz:
http://arxiv.org/abs/2407.14561
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:
Loftus, Joshua
Causal models and methods have great promise, but their progress has been stalled. Proposals using causality get squeezed between two opposing worldviews. Scientific perfectionism--an insistence on only using "correct" models--slows the adoption of c
Externí odkaz:
http://arxiv.org/abs/2406.02275
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