Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Alaa Abd-alrazaq"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Addressing the challenge of automatically segmenting anatomical structures from brain images has been a long-standing problem, attributed to subject- and image-based variations and constraints in available data annotations. The Segment Anyth
Externí odkaz:
https://doaj.org/article/4cfbb508ca624a90b9aba1ac36b8388a
Autor:
Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Alaa Abd-Alrazaq, Arfan Ahmed, Habib Hamam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-31 (2024)
Abstract This study explores integrating blockchain technology into the Internet of Medical Things (IoMT) to address security and privacy challenges. Blockchain’s transparency, confidentiality, and decentralization offer significant potential benef
Externí odkaz:
https://doaj.org/article/c123a71d9f504e92ab6e99e17ba656dd
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:
Nasser Alhammad, Mohannad Alajlani, Alaa Abd-alrazaq, Gregory Epiphaniou, Theodoros Arvanitis
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e50715 (2024)
BackgroundMobile health (mHealth) apps have the potential to enhance health care service delivery. However, concerns regarding patients’ confidentiality, privacy, and security consistently affect the adoption of mHealth apps. Despite this, no revie
Externí odkaz:
https://doaj.org/article/8a89b58e77734039b85a0c624d8c52dc
Autor:
Nasser Alhammad, Mohannad Alajlani, Alaa Abd-alrazaq, Theodoros Arvanitis, Gregory Epiphaniou
Publikováno v:
JMIR Research Protocols, Vol 13, p e54933 (2024)
BackgroundThere is data paucity regarding users’ awareness of privacy concerns and the resulting impact on the acceptance of mobile health (mHealth) apps, especially in the Saudi context. Such information is pertinent in addressing users’ needs i
Externí odkaz:
https://doaj.org/article/bc5abdbfa96b4a4dbe3a1606ce1cf34f
Autor:
Eunjoo Jeon, Laura-Maria Peltonen, Lorraine J. Block, Charlene Ronquillo, Jude L. Tayaben, Raji Nibber, Lisiane Pruinelli, Erika Lozada Perezmitre, Janine Sommer, Maxim Topaz, Gabrielle Jacklin Eler, Henrique Yoshikazu Shishido, Shanti Wardaningsih, Sutantri Sutantri, Samira Ali, Dari Alhuwail, Alaa Abd-Alrazaq, Laila Akhu-Zaheya, Ying-Li Lee, Shao-Hui Shu, Jisan Lee
Publikováno v:
Healthcare Informatics Research, Vol 30, Iss 1, Pp 49-59 (2024)
Objectives With the sudden global shift to online learning modalities, this study aimed to understand the unique challenges and experiences of emergency remote teaching (ERT) in nursing education. Methods We conducted a comprehensive online internati
Externí odkaz:
https://doaj.org/article/06417930146948fea69722075a5e20d9
Autor:
Xiaoqin Huang, Md Rafiqul Islam, Shanjita Akter, Fuad Ahmed, Ehsan Kazami, Hashem Abu Serhan, Alaa Abd-alrazaq, Siamak Yousefi
Publikováno v:
BioMedical Engineering OnLine, Vol 22, Iss 1, Pp 1-48 (2023)
Abstract Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various complex problems related to many areas of healthcare including ophthalmology. AI diagnostic systems developed from fundus images have become state-o
Externí odkaz:
https://doaj.org/article/ff980549243041ae9fc7ab15601e2b4d
Autor:
Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Alaa Abd‑Alrazaq, Arfan Ahmed, Habib Hamam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/2f81fb8d4e1749418d38d1bdce4fd836