Zobrazeno 1 - 10
of 1 237
pro vyhledávání: '"Visweswaran P"'
Autor:
Ji, Yuelyu, Ma, Wenhe, Sivarajkumar, Sonish, Zhang, Hang, Sadhu, Eugene Mathew, Li, Zhuochun, Wu, Xizhi, Visweswaran, Shyam, Wang, Yanshan
Recent advancements in large language models have demonstrated their potential in numerous medical applications, particularly in automating clinical trial matching for translational research and enhancing medical question answering for clinical decis
Externí odkaz:
http://arxiv.org/abs/2410.05180
Autor:
Ghosh, Shantanu, Syed, Rayan, Wang, Chenyu, Poynton, Clare B., Visweswaran, Shyam, Batmanghelich, Kayhan
Error slice discovery is crucial to diagnose and mitigate model errors. Current clustering or discrete attribute-based slice discovery methods face key limitations: 1) clustering results in incoherent slices, while assigning discrete attributes to sl
Externí odkaz:
http://arxiv.org/abs/2408.07832
The lack of large and diverse training data on Computer-Aided Diagnosis (CAD) in breast cancer detection has been one of the concerns that impedes the adoption of the system. Recently, pre-training with large-scale image text datasets via Vision-Lang
Externí odkaz:
http://arxiv.org/abs/2405.12255
Autor:
Gao, Fengyi, Zhang, Xingyu, Sivarajkumar, Sonish, Denny, Parker, Aldhahwani, Bayan, Visweswaran, Shyam, Shi, Ryan, Hogan, William, Bove, Allyn, Wang, Yanshan
In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities. Our dataset i
Externí odkaz:
http://arxiv.org/abs/2405.05993
Autor:
Tam, Thomas Yu Chow, Sivarajkumar, Sonish, Kapoor, Sumit, Stolyar, Alisa V, Polanska, Katelyn, McCarthy, Karleigh R, Osterhoudt, Hunter, Wu, Xizhi, Visweswaran, Shyam, Fu, Sunyang, Mathur, Piyush, Cacciamani, Giovanni E., Sun, Cong, Peng, Yifan, Wang, Yanshan
With generative artificial intelligence (AI), particularly large language models (LLMs), continuing to make inroads in healthcare, it is critical to supplement traditional automated evaluations with human evaluations. Understanding and evaluating the
Externí odkaz:
http://arxiv.org/abs/2405.02559
Autor:
Oniani, David, Wu, Xizhi, Visweswaran, Shyam, Kapoor, Sumit, Kooragayalu, Shravan, Polanska, Katelyn, Wang, Yanshan
Background Large Language Models (LLMs), enhanced with Clinical Practice Guidelines (CPGs), can significantly improve Clinical Decision Support (CDS). However, methods for incorporating CPGs into LLMs are not well studied. Methods We develop three di
Externí odkaz:
http://arxiv.org/abs/2401.11120
Autor:
Xu, Yanwu, Sun, Li, Peng, Wei, Jia, Shuyue, Morrison, Katelyn, Perer, Adam, Zandifar, Afrooz, Visweswaran, Shyam, Eslami, Motahhare, Batmanghelich, Kayhan
This paper introduces an innovative methodology for producing high-quality 3D lung CT images guided by textual information. While diffusion-based generative models are increasingly used in medical imaging, current state-of-the-art approaches are limi
Externí odkaz:
http://arxiv.org/abs/2310.03559
Autor:
Sivarajkumar, Sonish, Kelley, Mark, Samolyk-Mazzanti, Alyssa, Visweswaran, Shyam, Wang, Yanshan
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clinical domain. However, to unlock the clinical knowledge hidden in these
Externí odkaz:
http://arxiv.org/abs/2309.08008
Swarm robotic systems utilize collective behaviour to achieve goals that might be too complex for a lone entity, but become attainable with localized communication and collective decision making. In this paper, a behaviour-based distributed approach
Externí odkaz:
http://arxiv.org/abs/2309.01240
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research
Autor:
Oniani, David, Parmanto, Bambang, Saptono, Andi, Bove, Allyn, Freburger, Janet, Cappella, Shyam Visweswaran Nickie, McLay, Brian, Silverstein, Jonathan C., Becich, Michael J., Delitto, Anthony, Skidmore, Elizabeth, Wang, Yanshan
Rehabilitation research focuses on determining the components of a treatment intervention, the mechanism of how these components lead to recovery and rehabilitation, and ultimately the optimal intervention strategies to maximize patients' physical, p
Externí odkaz:
http://arxiv.org/abs/2304.05929