Zobrazeno 1 - 10
of 3 338
pro vyhledávání: '"Sarrafzadeh A"'
As Artificial Intelligence (AI) models are increasingly integrated into critical systems, the need for a robust framework to establish the trustworthiness of AI is increasingly paramount. While collaborative efforts have established conceptual founda
Externí odkaz:
http://arxiv.org/abs/2408.08448
Autor:
Lawless, Connor, Schoeffer, Jakob, Le, Lindy, Rowan, Kael, Sen, Shilad, Hill, Cristina St., Suh, Jina, Sarrafzadeh, Bahareh
A critical factor in the success of decision support systems is the accurate modeling of user preferences. Psychology research has demonstrated that users often develop their preferences during the elicitation process, highlighting the pivotal role o
Externí odkaz:
http://arxiv.org/abs/2312.06908
As processes around hybrid work, spatially distant collaborations, and work-life boundaries grow increasingly complex, managing workers' schedules for synchronous meetings has become a critical aspect of building successful global teams. However, gap
Externí odkaz:
http://arxiv.org/abs/2309.08104
Autor:
Arash Letafati, Saeed Motlaghzadeh, Omid Salahi Ardekani, Bahar Memarpour, Saba Seyedi, Mahshid Bahari, Ali Vasheghani Farahani, Amir Khoshravan, Sheida Sarrafzadeh, Abas Ahmadi Vasmehjani, Maryam Pournaseri, Yegane Bahrami, Fatemeh Talebi
Publikováno v:
Virology Journal, Vol 21, Iss 1, Pp 1-8 (2024)
Abstract Background Human papillomavirus (HPV) is among the leading cause of sexually transmitted infections, particularly prevalent among sexually active individuals. While many HPV infections clear up over time, some may progress to various cancers
Externí odkaz:
https://doaj.org/article/d4f3a3f7a8f74f0089c30df231307f14
Autor:
Arash Letafati, Seyed Mohammad Jazayeri, Hossein Atwan, Masoud karkhaneh Mahmoudi, Sheida Sarrafzadeh, Omid Salahi Ardekani, Mehdi Norouzi, Azam Ghaziasadi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract The impact of viral keratitis (VK) on individuals and society is notable. Early diagnosis and treatment are crucial in managing viral keratitis effectively. Timely intervention with antiviral medications and supportive care can help mitigate
Externí odkaz:
https://doaj.org/article/ff9a48f137df49048cc0b96970a33744
Publikováno v:
EMBC 2023
Large language models have been useful in expanding mental health care delivery. ChatGPT, in particular, has gained popularity for its ability to generate human-like dialogue. However, data-sensitive domains -- including but not limited to healthcare
Externí odkaz:
http://arxiv.org/abs/2306.05552
Autor:
Fazeli, Shayan, Levine, Lionel, Beikzadeh, Mehrab, Mirzasoleiman, Baharan, Zadeh, Bita, Peris, Tara, Sarrafzadeh, Majid
Recent advances in remote health monitoring systems have significantly benefited patients and played a crucial role in improving their quality of life. However, while physiological health-focused solutions have demonstrated increasing success and mat
Externí odkaz:
http://arxiv.org/abs/2303.14267
Autor:
Davina Zamanzadeh, Jeffrey Feng, Panayiotis Petousis, Arvind Vepa, Majid Sarrafzadeh, S. Ananth Karumanchi, Alex A. T. Bui, Ira Kurtz
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Continuous renal replacement therapy (CRRT) is a form of dialysis prescribed to severely ill patients who cannot tolerate regular hemodialysis. However, as the patients are typically very ill to begin with, there is always uncertainty whethe
Externí odkaz:
https://doaj.org/article/e5fb0fef039340298cd81bd24ce0e8f4
Auditing machine learning-based (ML) healthcare tools for bias is critical to preventing patient harm, especially in communities that disproportionately face health inequities. General frameworks are becoming increasingly available to measure ML fair
Externí odkaz:
http://arxiv.org/abs/2211.08742
Autor:
Ian W Holloway, Elizabeth S C Wu, Callisto Boka, Nina Young, Chenglin Hong, Kimberly Fuentes, Kimmo Kärkkäinen, Mehrab Beikzadeh, Alexandra Avendaño, Juan C Jauregui, Aileen Zhang, Lalaine Sevillano, Colin Fyfe, Cal D Brisbin, Raiza M Beltran, Luisita Cordero, Jeffrey T Parsons, Majid Sarrafzadeh
Publikováno v:
JMIR Research Protocols, Vol 13, p e58448 (2024)
BackgroundSexual and gender minority (SGM) young people are disproportionately affected by HIV in the United States, and substance use is a major driver of new infections. People who use web-based venues to meet sex partners are more likely to report
Externí odkaz:
https://doaj.org/article/2fb013af2a8c4945a27197e38c1792b1