Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Rawan AlSaad"'
Autor:
Rawan AlSaad, Alaa Abd-alrazaq, Sabri Boughorbel, Arfan Ahmed, Max-Antoine Renault, Rafat Damseh, Javaid Sheikh
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e59505 (2024)
In the complex and multidimensional field of medicine, multimodal data are prevalent and crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types, including medical images (eg, MRI and CT scans), time-series data (
Externí odkaz:
https://doaj.org/article/9beb43fdc56549adb37979a638349b19
Autor:
Alaa Abd-alrazaq, Hania Aslam, Rawan AlSaad, Mohammed Alsahli, Arfan Ahmed, Rafat Damseh, Sarah Aziz, Javaid Sheikh
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e58187 (2024)
BackgroundEarly detection of sleep apnea, the health condition where airflow either ceases or decreases episodically during sleep, is crucial to initiate timely interventions and avoid complications. Wearable artificial intelligence (AI), the integra
Externí odkaz:
https://doaj.org/article/d74117967db64ed59d855bf0d3afc027
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e53396 (2024)
BackgroundIn the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient’s response
Externí odkaz:
https://doaj.org/article/cd0270e06fba4908bcc92fde50de1db2
Autor:
Alaa Abd-alrazaq, Abdulqadir J Nashwan, Zubair Shah, Ahmad Abujaber, Dari Alhuwail, Jens Schneider, Rawan AlSaad, Hazrat Ali, Waleed Alomoush, Arfan Ahmed, Sarah Aziz
Publikováno v:
JMIR Formative Research, Vol 8, p e49411 (2024)
BackgroundResearch gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods f
Externí odkaz:
https://doaj.org/article/63a58930dd9d4f6f8ae9ecd88f4fa69e
Autor:
Alaa Abd-alrazaq, Israa Abuelezz, Eiman Al-Jafar, Kerstin Denecke, Mowafa Househ, Sarah Aziz, Arfan Ahmed, Ali Aljaafreh, Rawan AlSaad, Javaid Sheikh
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract Attention, which is the process of noticing the surrounding environment and processing information, is one of the cognitive functions that deteriorate gradually as people grow older. Games that are used for other than entertainment, such as
Externí odkaz:
https://doaj.org/article/c623dc923a0d451d80fdf1f280e5a09c
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of the technologies that have been exploited to detect or predict depression. The current review aimed at examining the performance of wearable AI
Externí odkaz:
https://doaj.org/article/dc41dec3d2ce45e99009d666a3e2ccc3
Autor:
Alaa Abd-alrazaq, Mohannad Alajlani, Reham Ahmad, Rawan AlSaad, Sarah Aziz, Arfan Ahmed, Mohammed Alsahli, Rafat Damseh, Javaid Sheikh
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52622 (2024)
BackgroundStudents usually encounter stress throughout their academic path. Ongoing stressors may lead to chronic stress, adversely affecting their physical and mental well-being. Thus, early detection and monitoring of stress among students are cruc
Externí odkaz:
https://doaj.org/article/2738144aa2014705ac41be4d6d6e7139
Autor:
Alaa Abd-alrazaq, Rawan AlSaad, Manale Harfouche, Sarah Aziz, Arfan Ahmed, Rafat Damseh, Javaid Sheikh
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48754 (2023)
BackgroundAnxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-
Externí odkaz:
https://doaj.org/article/be036644ade44e80b8cceeb227887b00
Autor:
Alaa Abd-alrazaq, Rawan AlSaad, Dari Alhuwail, Arfan Ahmed, Padraig Mark Healy, Syed Latifi, Sarah Aziz, Rafat Damseh, Sadam Alabed Alrazak, Javaid Sheikh
Publikováno v:
JMIR Medical Education, Vol 9, p e48291 (2023)
The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and c
Externí odkaz:
https://doaj.org/article/dc97585722694058a065628684f5e65e
Autor:
Alaa Abd-alrazaq, Israa Abuelezz, Rawan AlSaad, Eiman Al-Jafar, Arfan Ahmed, Sarah Aziz, Abdulqadir Nashwan, Javaid Sheikh
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43607 (2023)
BackgroundLearning disabilities are among the major cognitive impairments caused by aging. Among the interventions used to improve learning among older adults are serious games, which are participative electronic games designed for purposes other tha
Externí odkaz:
https://doaj.org/article/d6f39951796e4fe4a5519dfed872fb26