Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Cesar A. Gomez"'
Autor:
Sahar Borna, Cesar A. Gomez-Cabello, Sophia M. Pressman, Syed Ali Haider, Ajai Sehgal, Bradley C. Leibovich, Dave Cole, Antonio Jorge Forte
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 14, Iss 5, Pp 1413-1424 (2024)
In postoperative care, patient education and follow-up are pivotal for enhancing the quality of care and satisfaction. Artificial intelligence virtual assistants (AIVA) and large language models (LLMs) like Google BARD and ChatGPT-4 offer avenues for
Externí odkaz:
https://doaj.org/article/ebf26fb055ed4685b027fe96ac9a83bc
Autor:
Cesar A. Gomez-Cabello, Sahar Borna, Sophia Pressman, Syed Ali Haider, Clifton R. Haider, Antonio J. Forte
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 14, Iss 3, Pp 685-698 (2024)
Primary Care Physicians (PCPs) are the first point of contact in healthcare. Because PCPs face the challenge of managing diverse patient populations while maintaining up-to-date medical knowledge and updated health records, this study explores the cu
Externí odkaz:
https://doaj.org/article/e9f955186aef46cd8a9fdf8cad576ecf
Autor:
Ricardo A. Torres-Guzman, Olivia A. Ho, Sahar Borna, Cesar A. Gomez-Cabello, Syed Ali Haider, Antonio Jorge Forte
Publikováno v:
Bioengineering, Vol 11, Iss 9, p 905 (2024)
Chronic pain affects over 50 million people in the United States, particularly older adults, making effective assessment and treatment essential in primary care. Actigraphy, which monitors and records limb movement to estimate wakefulness and sleep,
Externí odkaz:
https://doaj.org/article/079d8d5a075f40a9908064457e9c151c
Autor:
Syed Ali Haider, Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, Ajai Sehgal, Bradley C. Leibovich, Antonio Jorge Forte
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1491 (2024)
Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability to comprehend and apply complex medical classification systems for bre
Externí odkaz:
https://doaj.org/article/03dfd5cb12d446afad15d6bb44578843
Autor:
Sahar Borna, Cesar A. Gomez-Cabello, Sophia M. Pressman, Syed Ali Haider, Antonio Jorge Forte
Publikováno v:
Journal of Personalized Medicine, Vol 14, Iss 6, p 612 (2024)
In the U.S., diagnostic errors are common across various healthcare settings due to factors like complex procedures and multiple healthcare providers, often exacerbated by inadequate initial evaluations. This study explores the role of Large Language
Externí odkaz:
https://doaj.org/article/a07eba27379145d893edbc34d813db1b
Publikováno v:
Medicina, Vol 60, Iss 6, p 957 (2024)
Background and Objectives: Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons’ cognitive loads and improving patients’ outcomes. This study aimed to assess and compare the current state o
Externí odkaz:
https://doaj.org/article/47fd5f9c3a724baeb9e6d6b7caa5dbef
Autor:
Cesar A. Gomez-Cabello, Sahar Borna, Sophia M. Pressman, Syed Ali Haider, Ajai Sehgal, Bradley C. Leibovich, Antonio J. Forte
Publikováno v:
Healthcare, Vol 12, Iss 11, p 1083 (2024)
Since their release, the medical community has been actively exploring large language models’ (LLMs) capabilities, which show promise in providing accurate medical knowledge. One potential application is as a patient resource. This study analyzes a
Externí odkaz:
https://doaj.org/article/890b241c5e4a4c7486030a4a250c6194
Autor:
Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, Syed Ali Haider, Clifton R. Haider, Antonio Jorge Forte
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 11, p 3041 (2024)
Background: Large language models (LLMs) represent a recent advancement in artificial intelligence with medical applications across various healthcare domains. The objective of this review is to highlight how LLMs can be utilized by clinicians and su
Externí odkaz:
https://doaj.org/article/255af328d6f64464bbb38e416dda4e50
Autor:
Sophia M. Pressman, Sahar Borna, Cesar A. Gomez-Cabello, Syed Ali Haider, Antonio Jorge Forte
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 10, p 2832 (2024)
Background: OpenAI’s ChatGPT (San Francisco, CA, USA) and Google’s Gemini (Mountain View, CA, USA) are two large language models that show promise in improving and expediting medical decision making in hand surgery. Evaluating the applications of
Externí odkaz:
https://doaj.org/article/d3a48d286e5c41e8b6a2a7dabb1cfa8c
Autor:
Sahar Borna, Michael J. Maniaci, Clifton R. Haider, Cesar A. Gomez-Cabello, Sophia M. Pressman, Syed Ali Haider, Bart M. Demaerschalk, Jennifer B. Cowart, Antonio Jorge Forte
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 483 (2024)
This study aims to explore how artificial intelligence can help ease the burden on caregivers, filling a gap in current research and healthcare practices due to the growing challenge of an aging population and increased reliance on informal caregiver
Externí odkaz:
https://doaj.org/article/46c920798ddd4b279803cde2ed71491e