Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Roxana, Daneshjou"'
Autor:
Vijaytha Muralidharan, Boluwatife Adeleye Adewale, Caroline J. Huang, Mfon Thelma Nta, Peter Oluwaduyilemi Ademiju, Pirunthan Pathmarajah, Man Kien Hang, Oluwafolajimi Adesanya, Ridwanullah Olamide Abdullateef, Abdulhammed Opeyemi Babatunde, Abdulquddus Ajibade, Sonia Onyeka, Zhou Ran Cai, Roxana Daneshjou, Tobi Olatunji
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Machine learning and artificial intelligence (AI/ML) models in healthcare may exacerbate health biases. Regulatory oversight is critical in evaluating the safety and effectiveness of AI/ML devices in clinical settings. We conducted a scoping
Externí odkaz:
https://doaj.org/article/243ac68a4348444db49d1cf5e67b63c8
Autor:
Elise M. Cai, BS, Pirunthan Pathmarajah, MD, Roxana Daneshjou, MD, PhD, Justin M. Ko, MD, MBA, Albert S. Chiou, MD, MBA
Publikováno v:
JAAD International, Vol 18, Iss , Pp 145-147 (2025)
Externí odkaz:
https://doaj.org/article/c3cad13cb59d467781c6ce32c8be2759
Autor:
Fiatsogbe Dzuali, Kira Seiger, Roberto Novoa, Maria Aleshin, Joyce Teng, Jenna Lester, Roxana Daneshjou
Publikováno v:
JMIR Medical Education, Vol 10, Pp e51435-e51435 (2024)
AbstractThis study evaluated the accuracy of ChatGPT in translating English patient education materials into Spanish, Mandarin, and Russian. While ChatGPT shows promise for translating Spanish and Russian medical information, Mandarin translations re
Externí odkaz:
https://doaj.org/article/42c07add28754c7a85f1413bec3b113e
Publikováno v:
JID Innovations, Vol 4, Iss 5, Pp 100293- (2024)
Externí odkaz:
https://doaj.org/article/c41844347b484be2b3e32f932f04362a
Publikováno v:
PLOS Digital Health, Vol 3, Iss 8, p e0000583 (2024)
Given the potential benefits of artificial intelligence and machine learning (AI/ML) within healthcare, it is critical to consider how these technologies can be deployed in pediatric research and practice. Currently, healthcare AI/ML has not yet adap
Externí odkaz:
https://doaj.org/article/01c836e95fec4451bffe0cbe59832b68
Autor:
Isabelle Krakowski, Jiyeong Kim, Zhuo Ran Cai, Roxana Daneshjou, Jan Lapins, Hanna Eriksson, Anastasia Lykou, Eleni Linos
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract The development of diagnostic tools for skin cancer based on artificial intelligence (AI) is increasing rapidly and will likely soon be widely implemented in clinical use. Even though the performance of these algorithms is promising in theor
Externí odkaz:
https://doaj.org/article/a031206f42fc4f969a1fab9cabd4aef0
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-4 (2023)
Abstract Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LL
Externí odkaz:
https://doaj.org/article/a8bcff9a84b84c23b42430629500f704
Autor:
Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules B. Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Images depicting dark skin tones are significantly underrepresented in the educational materials used to teach primary care physicians and dermatologists to recognize skin diseases. This could contribute to disparities in skin disease diagno
Externí odkaz:
https://doaj.org/article/0b3cc841ae2c48ca92f068d15d2a5ec8
Autor:
Betty Xiong, MS, James Zou, PhD, Waqar Ali, DPhil, Roxana Daneshjou, MD, PhD, Jonathan Williams, BSc
Publikováno v:
JAAD International, Vol 14, Iss , Pp 29-30 (2024)
Externí odkaz:
https://doaj.org/article/b5b571b24e944a8a8a83f06001381a56
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
This paper provides an overview of artificial-intelligence (AI), as applied to dermatology. We focus our discussion on methodology, AI applications for various skin diseases, limitations, and future opportunities. We review how the current image-base
Externí odkaz:
https://doaj.org/article/b5e0599e0e494421b3073a95f6453250