Zobrazeno 1 - 10
of 1 208
pro vyhledávání: '"Lasko, P"'
Autor:
Li, Thomas Z., Xu, Kaiwen, Krishnan, Aravind, Gao, Riqiang, Kammer, Michael N., Antic, Sanja, Xiao, David, Knight, Michael, Martinez, Yency, Paez, Rafael, Lentz, Robert J., Deppen, Stephen, Grogan, Eric L., Lasko, Thomas A., Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A.
Statistical models for predicting lung cancer have the potential to facilitate earlier diagnosis of malignancy and avoid invasive workup of benign disease. Many models have been published, but comparative studies of their utility in different clinica
Externí odkaz:
http://arxiv.org/abs/2405.10993
Autor:
Mukherjee, Subhabrata, Gamble, Paul, Ausin, Markel Sanz, Kant, Neel, Aggarwal, Kriti, Manjunath, Neha, Datta, Debajyoti, Liu, Zhengliang, Ding, Jiayuan, Busacca, Sophia, Bianco, Cezanne, Sharma, Swapnil, Lasko, Rae, Voisard, Michelle, Harneja, Sanchay, Filippova, Darya, Meixiong, Gerry, Cha, Kevin, Youssefi, Amir, Buvanesh, Meyhaa, Weingram, Howard, Bierman-Lytle, Sebastian, Mangat, Harpreet Singh, Parikh, Kim, Godil, Saad, Miller, Alex
We develop Polaris, the first safety-focused LLM constellation for real-time patient-AI healthcare conversations. Unlike prior LLM works in healthcare focusing on tasks like question answering, our work specifically focuses on long multi-turn voice c
Externí odkaz:
http://arxiv.org/abs/2403.13313
Autor:
Lasko, Thomas A., Still, John M., Li, Thomas Z., Mota, Marco Barbero, Stead, William W., Strobl, Eric V., Landman, Bennett A., Maldonado, Fabien
Insufficiently precise diagnosis of clinical disease is likely responsible for many treatment failures, even for common conditions and treatments. With a large enough dataset, it may be possible to use unsupervised machine learning to define clinical
Externí odkaz:
http://arxiv.org/abs/2402.05802
The rising popularity of artificial intelligence in healthcare is highlighting the problem that a computational model achieving super-human clinical performance at its training sites may perform substantially worse at new sites. In this perspective,
Externí odkaz:
http://arxiv.org/abs/2311.04787
Autor:
Musset, S., Jol, P., Sankar, R., Alnahari, S., Kapsiak, C., Ostlund, E., Lasko, K., Glesener, L., Fortson, L., Fleishman, G. D., Panesar, N. K., Zhang, Y., Jeunon, M., Hurlburt, N.
Publikováno v:
A&A 688, A127 (2024)
Context. Solar coronal jets seen in EUV are ubiquitous on the Sun, have been found in and at the edges of active regions, at the boundaries of coronal holes, and in the quiet Sun. Jets have various shapes, sizes, brightness, velocities and duration i
Externí odkaz:
http://arxiv.org/abs/2309.14871
Publikováno v:
MNRAS, Volume 525, Issue 4 (2023)
All lens modeling methods, simply-parametrized, hybrid, and free-form, use assumptions to reconstruct galaxy clusters with multiply imaged sources, though the nature of these assumptions (priors) can differ considerably between methods. This raises a
Externí odkaz:
http://arxiv.org/abs/2309.05730
Autor:
K. Greene, S. R. Bounds, R. M. Broadfoot, C. Feltman, S. J. Hisel, R. M. Kraus, A. Lasko, A. Washington, D. M. Miles
Publikováno v:
Geoscientific Instrumentation, Methods and Data Systems, Vol 13, Pp 249-262 (2024)
Ongoing innovation in next-generation fluxgate magnetometry is important for enabling future investigations of space plasma, especially multi-spacecraft experimental studies of energy transport in the magnetosphere and the solar wind. Demonstrating t
Externí odkaz:
https://doaj.org/article/e07c504d1f3d4625a12318fffb60e527
Autor:
Li, Thomas Z., Still, John M., Xu, Kaiwen, Lee, Ho Hin, Cai, Leon Y., Krishnan, Aravind R., Gao, Riqiang, Khan, Mirza S., Antic, Sanja, Kammer, Michael, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., Lasko, Thomas A.
The accuracy of predictive models for solitary pulmonary nodule (SPN) diagnosis can be greatly increased by incorporating repeat imaging and medical context, such as electronic health records (EHRs). However, clinically routine modalities such as ima
Externí odkaz:
http://arxiv.org/abs/2304.02836
Autor:
Lee, J. W., Tsang, M. B., Tsang, C. Y., Wang, R., Barney, J., Estee, J., Isobe, T., Kaneko, M., Kurata-Nishimura, M., Lynch, W. G., Murakami, T., Ono, A., Souza, S. R., Ahn, D. S., Atar, L., Aumann, T., Baba, H., Boretzky, K., Brzychczyk, J., Cerizza, G., Chiga, N., Fukuda, N., Gasparic, I., Hong, B., Horvat, A., Ieki, K., Ikeno, N., Inabe, N., Jhang, G., Kim, Y. J., Kobayashi, T., Kondo, Y., Lasko, P., Lee, H. S., Leifels, Y., Łukasik, J., Manfredi, J., McIntosh, A. B., Morfouace, P., Nakamura, T., Nakatsuka, N., Nishimura, S., Otsu, H., Pawłowski, P., Pelczar, K., Rossi, D., Sakurai, H., Santamaria, C., Sato, H., Scheit, H., Shane, R., Shimizu, Y., Simon, H., Snoch, A., Sochocka, A., Sumikama, T., Suzuki, H., Suzuki, D., Takeda, H., Tangwancharoen, S., Togano, Y., Xiao, Z. G., Yennello, S. J., Zhang, Y.
Publikováno v:
The European Physical Journal A volume 58, Article number: 201 (2022)
Experimental information on fragment emissions is important in understanding the dynamics of nuclear collisions and in the development of transport model simulating heavy-ion collisions. The composition of complex fragments emitted in the heavy-ion c
Externí odkaz:
http://arxiv.org/abs/2211.02837
Autor:
Strobl, Eric V., Lasko, Thomas A.
Root causal analysis seeks to identify the set of initial perturbations that induce an unwanted outcome. In prior work, we defined sample-specific root causes of disease using exogenous error terms that predict a diagnosis in a structural equation mo
Externí odkaz:
http://arxiv.org/abs/2210.15340