Zobrazeno 1 - 10
of 11 497
pro vyhledávání: '"A, Celi"'
Autor:
Matos, João, Chen, Shan, Placino, Siena, Li, Yingya, Pardo, Juan Carlos Climent, Idan, Daphna, Tohyama, Takeshi, Restrepo, David, Nakayama, Luis F., Pascual-Leone, Jose M. M., Savova, Guergana, Aerts, Hugo, Celi, Leo A., Wong, A. Ian, Bitterman, Danielle S., Gallifant, Jack
Multimodal/vision language models (VLMs) are increasingly being deployed in healthcare settings worldwide, necessitating robust benchmarks to ensure their safety, efficacy, and fairness. Multiple-choice question and answer (QA) datasets derived from
Externí odkaz:
http://arxiv.org/abs/2410.12722
Non-Abelian gauge theories provide an accurate description of fundamental interactions, as both perturbation theory and quantum Monte Carlo computations in lattice gauge theory, it when applicable, show remarkable agreement with experimental data fro
Externí odkaz:
http://arxiv.org/abs/2409.04441
Autor:
Simone, Lorenzo, Miglior, Luca, Gervasi, Vincenzo, Moroni, Luca, Vignali, Emanuele, Gasparotti, Emanuele, Celi, Simona
This research introduces an innovative method for the early screening of cardiorespiratory diseases based on an acquisition protocol, which leverages commodity smartphone's Inertial Measurement Units (IMUs) and deep learning techniques. We collected,
Externí odkaz:
http://arxiv.org/abs/2408.15357
Medical decisions directly impact individuals' health and well-being. Extracting decision spans from clinical notes plays a crucial role in understanding medical decision-making processes. In this paper, we develop a new dataset called "MedDec", whic
Externí odkaz:
http://arxiv.org/abs/2408.12980
Algorithmic bias in healthcare mirrors existing data biases. However, the factors driving unfairness are not always known. Medical devices capture significant amounts of data but are prone to errors; for instance, pulse oximeters overestimate the art
Externí odkaz:
http://arxiv.org/abs/2408.04396
Autor:
Garzia, Simone, Rygiel, Patryk, Dummer, Sven, Cademartiri, Filippo, Celi, Simona, Wolterink, Jelmer M.
Time-resolved three-dimensional flow MRI (4D flow MRI) provides a unique non-invasive solution to visualize and quantify hemodynamics in blood vessels such as the aortic arch. However, most current analysis methods for arterial 4D flow MRI use static
Externí odkaz:
http://arxiv.org/abs/2407.20728
Autor:
CUORE Collaboration, Adams, D. Q., Alduino, C., Alfonso, K., Avignone III, F. T., Azzolini, O., Bari, G., Bellini, F., Benato, G., Beretta, M., Biassoni, M., Branca, A., Brofferio, C., Bucci, C., Camilleri, J., Caminata, A., Campani, A., Cao, J., Capelli, S., Capelli, C., Cappelli, L., Cardani, L., Carniti, P., Casali, N., Celi, E., Chiesa, D., Clemenza, M., Copello, S., Cremonesi, O., Creswick, R. J., D'Addabbo, A., Dafinei, I., Del Corso, F., Dell'Oro, S., Di Domizio, S., Di Lorenzo, S., Dixon, T., Dompè, V., Fang, D. Q., Fantini, G., Faverzani, M., Ferri, E., Ferroni, F., Fiorini, E., Franceschi, M. A., Freedman, S. J., Fu, S. H., Fujikawa, B. K., Ghislandi, S., Giachero, A., Girola, M., Gironi, L., Giuliani, A., Gorla, P., Gotti, C., Guillaumon, P. V., Gutierrez, T. D., Han, K., Hansen, E. V., Heeger, K. M., Helis, D. L., Huang, H. Z., Keppel, G., Kolomensky, Yu. G., Kowalski, R., Liu, R., Ma, L., Ma, Y. G., Marini, L., Maruyama, R. H., Mayer, D., Mei, Y., Moore, M. N., Napolitano, T., Nastasi, M., Nones, C., Norman, E. B., Nucciotti, A., Nutini, I., O'Donnell, T., Olmi, M., Oregui, B. T., Ouellet, J. L., Pagan, S., Pagliarone, C. E., Pagnanini, L., Pallavicini, M., Pattavina, L., Pavan, M., Pessina, G., Pettinacci, V., Pira, C., Pirro, S., Pottebaum, E. G., Pozzi, S., Previtali, E., Puiu, A., Quitadamo, S., Ressa, A., Rosenfeld, C., Schmidt, B., Sharma, V., Singh, V., Sisti, M., Speller, D., Stark, P., Surukuchi, P. T., Taffarello, L., Tomei, C., Torres, A., Torres, J. A., Vetter, K. J., Vignati, M., Wagaarachchi, S. L., Welliver, B., Wilson, J., Wilson, K., Winslow, L. A., Zimmermann, S., Zucchelli, S.
The Cryogenic Underground Observatory for Rare Events (CUORE) is a detector array comprised by 988 5$\;$cm$\times$5$\;$cm$\times$5$\;$cm TeO$_2$ crystals held below 20 mK, primarily searching for neutrinoless double-beta decay in $^{130}$Te. Unpreced
Externí odkaz:
http://arxiv.org/abs/2406.12380
Autor:
Restrepo, David, Wu, Chenwei, Vásquez-Venegas, Constanza, Matos, João, Gallifant, Jack, Celi, Leo Anthony, Bitterman, Danielle S., Nakayama, Luis Filipe
The deployment of large language models (LLMs) in healthcare has demonstrated substantial potential for enhancing clinical decision-making, administrative efficiency, and patient outcomes. However, the underrepresentation of diverse groups in the dev
Externí odkaz:
http://arxiv.org/abs/2406.13152
Autor:
Gallifant, Jack, Chen, Shan, Moreira, Pedro, Munch, Nikolaj, Gao, Mingye, Pond, Jackson, Celi, Leo Anthony, Aerts, Hugo, Hartvigsen, Thomas, Bitterman, Danielle
Medical knowledge is context-dependent and requires consistent reasoning across various natural language expressions of semantically equivalent phrases. This is particularly crucial for drug names, where patients often use brand names like Advil or T
Externí odkaz:
http://arxiv.org/abs/2406.12066
Autor:
Restrepo, David, Wu, Chenwei, Cajas, Sebastián Andrés, Nakayama, Luis Filipe, Celi, Leo Anthony, López, Diego M
Large-scale multi-modal deep learning models have revolutionized domains such as healthcare, highlighting the importance of computational power. However, in resource-constrained regions like Low and Middle-Income Countries (LMICs), limited access to
Externí odkaz:
http://arxiv.org/abs/2406.02601