Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jessica M. Sin"'
Publikováno v:
Frontiers in Medical Technology, Vol 4 (2023)
IntroductionArtificial intelligence and data-driven predictive modeling have become increasingly common tools integrated in clinical practice, heralding a new chapter of medicine in the digital era. While these techniques are poised to affect nearly
Externí odkaz:
https://doaj.org/article/7139cfc5d5bd425996fadeb8af67a14a
Autor:
Faraz Farhadi, Matthew R. Barnes, Harun R. Sugito, Jessica M. Sin, Eric R. Henderson, Joshua J. Levy
Publikováno v:
Frontiers in Medical Technology, Vol 4 (2022)
The practice of medicine is rapidly transforming as a result of technological breakthroughs. Artificial intelligence (AI) systems are becoming more and more relevant in medicine and orthopaedic surgery as a result of the nearly exponential growth in
Externí odkaz:
https://doaj.org/article/1dd0d036e907455ca58a6bda83ffd09a
Autor:
Robert C. Thomas, Xuan V. Nguyen, Joseph S. Fotos, Nikita Consul, Lonie R. Salkowski, William F. Auffermann, Ichiro Ikuta, Atul Agarwal, Shafik N. Wassef, Hao S. Lo, Linda C. Kelahan, Scott J. Adams, Jessica M. Sin, Anup K. Bhattacharya, Christine Lin, Michael L. Richardson
Publikováno v:
Academic Radiology. 28:1238-1252
Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purcha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda3c26e6ab741dd22107521db2bb599
https://doi.org/10.1016/j.acra.2020.12.026
https://doi.org/10.1016/j.acra.2020.12.026
Publikováno v:
J Ultrasound
Pyogenic flexor tenosynovitis (PFT) is an aggressive infection of the flexor tendon sheath, requiring prompt intervention to minimize adverse outcomes. The diagnosis of pediatric PFT is often delayed due to the variable presence of Kanavel’s signs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5f8a0667f6c75c148fa53964858b457
https://doi.org/10.1007/s40477-021-00567-x
https://doi.org/10.1007/s40477-021-00567-x
Autor:
Ryan Zea, Ken Lee, Priti P. Patil, Christopher L. Brace, Jessica M. Sin, Amgad S. Hanna, Jacob A. Greenberg
Publikováno v:
Journal of Vascular and Interventional Radiology. 30:242-248
Purpose To evaluate the feasibility and efficacy of ultrasound-guided microwave ablation for the treatment of inguinal neuralgia. Materials and Methods A retrospective review of 12 consecutive ultrasound-guided microwave ablation procedures was perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10df1396bfa00162c1ebc52b2db6ecc0
https://doi.org/10.1016/j.jvir.2018.10.031
https://doi.org/10.1016/j.jvir.2018.10.031
Publikováno v:
International Journal of Surgical Pathology. :106689692211174
Epithelioid hemangioma of bone is a rare benign, locally aggressive vascular tumor that can be particularly challenging to diagnose given its frequent multifocality, non-specific imaging findings, and wide range of morphologic appearances. Additional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3994eb03d79aa6933dc054c1ea89b43
https://doi.org/10.1177/10668969221117438
https://doi.org/10.1177/10668969221117438
Autor:
Yvonne Y. Cheung, Manu Goyal, Saeed Hassanpour, Jessica M. Sin, Judith A. Austin-Strohbehn, Karen Rodriguez, Sean J. Sun
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030772109
AIME
AIME
Deep learning has great potential to assist with detecting and triaging critical findings such as pneumoperitoneum on medical images. To be clinically useful, the performance of this technology still needs to be validated for generalizability across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f2d3461042158ba4d04ebe9ca629a9e
https://doi.org/10.1007/978-3-030-77211-6_35
https://doi.org/10.1007/978-3-030-77211-6_35
Publikováno v:
Academic Radiology
Rationale and Objectives Artificial intelligence (AI) has rapidly emerged as a field poised to affect nearly every aspect of medicine, especially radiology. A PubMed search for the terms “artificial intelligence radiology” demonstrates an exponen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ddf83ef32f10d7ed0d9514db7aba4d0
https://pubmed.ncbi.nlm.nih.gov/33071185
https://pubmed.ncbi.nlm.nih.gov/33071185
Autor:
Linda Probyn, Elisabeth R. Garwood, Prabhakar Rajiah, Matthew D. Li, Arun Nagaraju, Hao S. Lo, Kali Xu, Michael L. Richardson, Jessica M. Sin, Yueh Z. Lee, Ashish P. Wasnik, Xuan V. Nguyen
Publikováno v:
Academic radiology. 28(9)
We deem a computer to exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent action by a human. Much of the recent excitement about AI in the medical literature has revolved around the ability of AI model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c646c4f517d2a131981ec7c1b722546
https://pubmed.ncbi.nlm.nih.gov/32059956
https://pubmed.ncbi.nlm.nih.gov/32059956
Publikováno v:
ISRN Pathology. 2011:1-6
A healthy 16-year-old male patient presented with several weeks of right ankle pain on weight-bearing, worsened with sporting activities, and relieved with rest. Radiographs demonstrated multiple well-marginated lytic lesions in the right distal tibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cecb5a3bc0df2522524ab67c4d81edf
https://doi.org/10.5402/2011/378940
https://doi.org/10.5402/2011/378940