Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Samantha M. Santomartino"'
Publikováno v:
Academic Radiology. 30:971-974
With a track record of innovation and unique access to digital data, radiologists are distinctly positioned to usher in a new medical era of artificial intelligence (AI).In this Perspective piece, we summarize AI initiatives that academic radiology d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a16c7ada4cfd052f38f0b01b2355494e
https://doi.org/10.1016/j.acra.2022.07.011
https://doi.org/10.1016/j.acra.2022.07.011
Publikováno v:
American Journal of Roentgenology. 219:869-878
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89575213422407f58f61ef2cb0779770
https://doi.org/10.2214/ajr.22.27873
https://doi.org/10.2214/ajr.22.27873
Autor:
Samantha M. Santomartino, Paul H. Yi
Publikováno v:
Academic Radiology. 29:1748-1756
The introduction of AI in radiology has prompted both excitement and hesitation within the field. We performed a systematic review of original studies evaluating the attitudes of radiologists, radiology trainees, and medical students towards AI in ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb45f116f985f4bc60d58ae9c0ccda6
https://doi.org/10.1016/j.acra.2021.12.032
https://doi.org/10.1016/j.acra.2021.12.032
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate the performance and usability of code-free deep learning (CFDL) platforms in creating DL models for disease classification, object detection, and segmentation on chest radiographs. MATERIALS AND METHODS: Six CFDL platforms were e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2d398005d79942ff40b076cd5d90f8c
https://doi.org/10.1148/ryai.220062
https://doi.org/10.1148/ryai.220062
Publikováno v:
Radiology. 306
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generalizability and bias in other use cases. Purpose To quantify generalizability and bias in a bone age DL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0978785f3715430ccb3d1875d44e9192
https://doi.org/10.1148/radiol.220505
https://doi.org/10.1148/radiol.220505
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate code and data sharing practices in original artificial intelligence (AI) scientific manuscripts published in the Radiological Society of North America (RSNA) journals suite from 2017 through 2021. MATERIALS AND METHODS: A retrosp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd067b4525d9a6a329bca1e459e2087
https://doi.org/10.1148/ryai.220081
https://doi.org/10.1148/ryai.220081
Publikováno v:
AJR. American journal of roentgenology. 219(6)
Fractures are common injuries that can be difficult to diagnose, with missed fractures accounting for most misdiagnoses in the emergency department. Artificial intelligence (AI) and, specifically, deep learning have shown a strong ability to accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d1d310cd71c47454dffd6d057d689137
https://pubmed.ncbi.nlm.nih.gov/35792142
https://pubmed.ncbi.nlm.nih.gov/35792142