Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Giovanni E, Cacciamani"'
Autor:
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-20 (2024)
Abstract With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study reviews
Externí odkaz:
https://doaj.org/article/35d95c2463094fad97d777e1d8376e44
Autor:
Lorenzo Storino Ramacciotti, David Strauss, Francesco Cei, Masatomo Kaneko, Daniel Mokhtar, Jie Cai, Delara Jadvar, Giovanni E. Cacciamani, Manju Aron, Pierre B. Halteh, Vinay Duddalwar, Inderbir Gill, Andre Luis Abreu
Publikováno v:
International Brazilian Journal of Urology, Vol 50, Iss 5, Pp 616-628 (2024)
ABSTRACT Purpose: To compare transperineal (TP) vs transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion-guided prostate biopsy (PBx) in a large, ethnically diverse and multiracial cohort. Materials and Methods: C
Externí odkaz:
https://doaj.org/article/8bbb3e8ae47845868553c8154c7cd8a1
Autor:
Jethro C. C. Kwong, Serena C. Y. Wang, Grace C. Nickel, Giovanni E. Cacciamani, Joseph C. Kvedar
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-3 (2024)
Large language models (LLMs) have shown promise in reducing time, costs, and errors associated with manual data extraction. A recent study demonstrated that LLMs outperformed natural language processing approaches in abstracting pathology report info
Externí odkaz:
https://doaj.org/article/b4a1028f5cc547ac93a74512bed52084
Autor:
Masatomo Kaneko, Atsuko Fujihara, Tsuyoshi Iwata, Lorenzo Storino Ramacciotti, Suzanne L. Palmer, Masakatsu Oishi, Manju Aron, Giovanni E. Cacciamani, Vinay Duddalwar, Go Horiguchi, Satoshi Teramukai, Osamu Ukimura, Inderbir S. Gill, Andre Luis Abreu
Publikováno v:
International Brazilian Journal of Urology, Vol 50, Iss 3, Pp 319-334 (2024)
ABSTRACT Purpose: To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). Materials and Methods: We
Externí odkaz:
https://doaj.org/article/ce025be8e6424a0c987da596aec21c6e
Autor:
Conner Ganjavi, Michael Eppler, Devon O'Brien, Lorenzo Storino Ramacciotti, Muhammad Shabbeer Ghauri, Issac Anderson, Jae Choi, Darby Dwyer, Claudia Stephens, Victoria Shi, Madeline Ebert, Michaela Derby, Bayan Yazdi, Giovanni E Cacciamani
Publikováno v:
PLOS Digital Health, Vol 3, Iss 9, p e0000596 (2024)
Generative-AI (GAI) models like ChatGPT are becoming widely discussed and utilized tools in medical education. For example, it can be used to assist with studying for exams, shown capable of passing the USMLE board exams. However, there have been con
Externí odkaz:
https://doaj.org/article/ca4c1111af0044389d16bdc4416ddf48
Autor:
Masatomo Kaneko, Luis G. Medina, Maria Sarah L. Lenon, Sij Hemal, Aref S. Sayegh, Donya S. Jadvar, Lorenzo Storino Ramacciotti, Divyangi Paralkar, Giovanni E. Cacciamani, Amir H. Lebastchi, Bodour Salhia, Manju Aron, Michelle Hopstone, Vinay Duddalwar, Suzanne L. Palmer, Inderbir S. Gill, Andre Luis Abreu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The objective of this study was to compare transperineal (TP) versus transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion prostate biopsy (PBx). Consecutive men who underwent prostate MRI followed by a s
Externí odkaz:
https://doaj.org/article/8a7e7feb2f1d4ad6b627fe9b040870c4
Autor:
Giovanni E Cacciamani, Tamir Sholklapper, Michael B Eppler, Aref Sayegh, Lorenzo Storino Ramacciotti, Andre L Abreu, Rene Sotelo, Mihir M Desai, Inderbir S Gill
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0297799 (2024)
Annually, about 300 million surgeries lead to significant intraoperative adverse events (iAEs), impacting patients and surgeons. Their full extent is underestimated due to flawed assessment and reporting methods. Inconsistent adoption of new grading
Externí odkaz:
https://doaj.org/article/072b8e9008234db0b1c3c62b21ca526b
Autor:
Lorenzo Storino Ramacciotti, Masatomo Kaneko, Michael Eppler, Giovanni E. Cacciamani, Andre Luis Abreu
Publikováno v:
International Brazilian Journal of Urology, Vol 49, Iss 3, Pp 383-385 (2023)
Externí odkaz:
https://doaj.org/article/2cdea810a5614b2bbefccf3e26f32ffb
Autor:
Lorenzo Storino Ramacciotti, Donya S. Jadvar, Maria Sarah L. Lenon, Giovanni E. Cacciamani, Andre Luis Abreu, Masatomo Kaneko
Publikováno v:
Uro, Vol 2, Iss 4, Pp 204-212 (2022)
Focal therapy (FT) has emerged as a potential treatment for localized prostate cancer (PCa) with encouraging functional outcomes. According to the compelling evidence based on meta-analyses and recent trials, erectile function (EF) is mostly retained
Externí odkaz:
https://doaj.org/article/aa0f1d5f0e1f4127b82544aa566549c0
Autor:
Giovanni E. Cacciamani, Daniel I. Sanford, Timothy N. Chu, Masatomo Kaneko, Andre L. De Castro Abreu, Vinay Duddalwar, Inderbir S. Gill
Publikováno v:
European Urology Open Science, Vol 48, Iss , Pp 14-16 (2023)
Artificial intelligence (AI) is here to stay and will change health care as we know it. The availability of big data and the increasing numbers of AI algorithms approved by the US Food and Drug Administration together will help in improving the quali
Externí odkaz:
https://doaj.org/article/bf127593c8f04cd289a29a07efac4c30