Utilizing machine learning for survival analysis to identify risk factors for COVID-19 intensive care unit admission: A retrospective cohort study from the United Arab Emirates.

Autor: Aamna AlShehhi, Taleb M Almansoori, Ahmed R Alsuwaidi, Hiba Alblooshi

Publikováno v: PLoS ONE, Vol 19, Iss 1, p e0291373 (2024)

BackgroundThe current situation of the unprecedented COVID-19 pandemic leverages Artificial Intelligence (AI) as an innovative tool for addressing the evolving clinical challenges. An example is utilizing Machine Learning (ML) models-a subfield of AI

Externí odkaz: https://doaj.org/article/b4998872ebcd4a8d97ef24ac625f155d

MDCT evaluation of intramyocardialsinusoids-coronary artery communications in a neonate with pulmonary atresia and intact ventricular septum

Autor: Karuna M Das, Taleb M Almansoori, Tarek Suliman Momenah, Klaus Neidl-Van Gorkom

Publikováno v: Indian Journal of Radiology and Imaging, Vol 30, Iss 01, Pp 77-80 (2020)

A patient of tetrology of Fallot with complete atresia of the pulmonary outflow tract with ventriculocoronary connections is presented.MDCT imaging revealed left coronary sinus, with a large fistula draining into the free wall of hypoplastic right ve

Externí odkaz: https://doaj.org/article/10fe6f14b79f4b8a925afda974c5ec67

Challenges for cancer patients returning home during SARS-COV-19 pandemic after medical tourism - a consensus report by the emirates oncology task force

Autor: Humaid O. Al-Shamsi, Ibrahim Abu-Gheida, Shabeeha K. Rana, Neil Nijhawan, Ahmed S. Abdulsamad, Sadir Alrawi, Mohamed Abuhaleeqa, Taleb M. Almansoori, Thamir Alkasab, Essa M. Aleassa, Martine C. McManus

Publikováno v: BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)

Abstract Background The COVID-19 pandemic has caused a global health crisis. Numerous cancer patients from non-Western countries, including the United Arab Emirates (UAE), seek cancer care outside their home countries and many are sponsored by their

Externí odkaz: https://doaj.org/article/d3638956946a41868f466da79ab6d7c0

Reliability of Machine Learning in Eliminating Data Redundancy of Radiomics and Reflecting Pathophysiology in COVID-19 Pneumonia: Impact of CT Reconstruction Kernels on Accuracy

Autor: Yauhen Statsenko, Tetiana Habuza, Tatsiana Talako, Tetiana Kurbatova, Gillian Lylian Simiyu, Darya Smetanina, Juana Sido, Dana Sharif Qandil, Sarah Meribout, Juri G. Gelovani, Klaus Neidl-Van Gorkom, Taleb M. Almansoori, Fatmah Al Zahmi, Tom Loney, Anthony Bedson, Nerissa Naidoo, Alireza Dehdashtian, Milos Ljubisavljevic, Jamal Al Koteesh, Karuna M. Das

Publikováno v: IEEE Access. 10:120901-120921

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d46f59862e73db87df38809d84d12eec
https://doi.org/10.1109/access.2022.3211080

Chest radiographic score and lactate dehydrogenase are independent risk factors linked to mortality in Middle East Respiratory Syndrome Coronavirus (MERS-CoV) patients

Autor: Taleb M. Almansoori, Jamal Aldeen Alkoteesh, Khalid Al Dossari, K.M. Das, Rajvir Singh, Shreesh Ojha, Sandeep B. Subramanya

Publikováno v: The Egyptian Journal of Radiology and Nuclear Medicine, Vol 52, Iss 1, Pp 1-8 (2021)
The Egyptian Journal of Radiology and Nuclear Medicine

Background Despite the dominance of Covid-19 in the current situation, MERS-CoV is found infrequently in the Middle East. When coupled with the chest radiographic score, serum biochemical parameters may be utilized to assess serum biochemical changes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab57c30a696da6b3176b60377b7132d
https://doaj.org/article/078ddbf2f50646e2b8b5c222a84e1500