Zobrazeno 1 - 10
of 39 656
pro vyhledávání: '"Gilson, A."'
Since classical machine learning has become a powerful tool for developing data-driven algorithms, quantum machine learning is expected to similarly impact the development of quantum algorithms. The literature reflects a mutually beneficial relations
Externí odkaz:
http://arxiv.org/abs/2412.09486
Autor:
Wan, Nicholas, Jin, Qiao, Chan, Joey, Xiong, Guangzhi, Applebaum, Serina, Gilson, Aidan, McMurry, Reid, Taylor, R. Andrew, Zhang, Aidong, Chen, Qingyu, Lu, Zhiyong
Although large language models (LLMs) have been assessed for general medical knowledge using medical licensing exams, their ability to effectively support clinical decision-making tasks, such as selecting and using medical calculators, remains uncert
Externí odkaz:
http://arxiv.org/abs/2411.05897
The standard magnetorotational instability (SMRI) is widely believed to be responsible for the observed accretion rates in astronomical disks. It is a linear instability triggered in the differentially rotating ionized disk flow by a magnetic field c
Externí odkaz:
http://arxiv.org/abs/2411.02361
Autor:
Alba, Eduardo Luiz, Ribeiro, Matheus Henrique Dal Molin, Adamczuk, Gilson, Trojan, Flavio, Rodrigues, Erick Oliveira
Educational institutions are essential for economic and social development. Budget cuts in Brazil in recent years have made it difficult to carry out their activities and projects. In the case of expenses with water and electricity, unexpected situat
Externí odkaz:
http://arxiv.org/abs/2410.19709
Autor:
Jin, Qiao, Wan, Nicholas, Leaman, Robert, Tian, Shubo, Wang, Zhizheng, Yang, Yifan, Wang, Zifeng, Xiong, Guangzhi, Lai, Po-Ting, Zhu, Qingqing, Hou, Benjamin, Sarfo-Gyamfi, Maame, Zhang, Gongbo, Gilson, Aidan, Bhasuran, Balu, He, Zhe, Zhang, Aidong, Sun, Jimeng, Weng, Chunhua, Summers, Ronald M., Chen, Qingyu, Peng, Yifan, Lu, Zhiyong
Large language models (LLMs) represent a transformative class of AI tools capable of revolutionizing various aspects of healthcare by generating human-like responses across diverse contexts and adapting to novel tasks following human instructions. Th
Externí odkaz:
http://arxiv.org/abs/2410.18856
Autor:
Shrestha, Prajol, Kulyabin, Mikhail, Sindel, Aline, Pedersen, Hilde R., Gilson, Stuart, Baraas, Rigmor, Maier, Andreas
Accurate detection and segmentation of cone cells in the retina are essential for diagnosing and managing retinal diseases. In this study, we used advanced imaging techniques, including confocal and non-confocal split detector images from adaptive op
Externí odkaz:
http://arxiv.org/abs/2410.15158
Current generative models for drug discovery primarily use molecular docking as an oracle to guide the generation of active compounds. However, such models are often not useful in practice because even compounds with high docking scores do not consis
Externí odkaz:
http://arxiv.org/abs/2410.11226
Autor:
Gilson, Aidan, Ai, Xuguang, Xie, Qianqian, Srinivasan, Sahana, Pushpanathan, Krithi, Singer, Maxwell B., Huang, Jimin, Kim, Hyunjae, Long, Erping, Wan, Peixing, Del Priore, Luciano V., Ohno-Machado, Lucila, Xu, Hua, Liu, Dianbo, Adelman, Ron A., Tham, Yih-Chung, Chen, Qingyu
Large Language Models (LLMs) are poised to revolutionize healthcare. Ophthalmology-specific LLMs remain scarce and underexplored. We introduced an open-source, specialized LLM for ophthalmology, termed Language Enhanced Model for Eye (LEME). LEME was
Externí odkaz:
http://arxiv.org/abs/2410.03740
Autor:
Gilson, Aidan, Ai, Xuguang, Arunachalam, Thilaka, Chen, Ziyou, Cheong, Ki Xiong, Dave, Amisha, Duic, Cameron, Kibe, Mercy, Kaminaka, Annette, Prasad, Minali, Siddig, Fares, Singer, Maxwell, Wong, Wendy, Jin, Qiao, Keenan, Tiarnan D. L., Hu, Xia, Chew, Emily Y., Lu, Zhiyong, Xu, Hua, Adelman, Ron A., Tham, Yih-Chung, Chen, Qingyu
Despite the potential of Large Language Models (LLMs) in medicine, they may generate responses lacking supporting evidence or based on hallucinated evidence. While Retrieval Augment Generation (RAG) is popular to address this issue, few studies imple
Externí odkaz:
http://arxiv.org/abs/2409.13902
Autor:
Kulyabin, Mikhail, Sindel, Aline, Pedersen, Hilde, Gilson, Stuart, Baraas, Rigmor, Maier, Andreas
Analyzing the cone photoreceptor pattern in images obtained from the living human retina using quantitative methods can be crucial for the early detection and management of various eye conditions. Confocal adaptive optics scanning light ophthalmoscop
Externí odkaz:
http://arxiv.org/abs/2408.14810