Surveillance in the service of safety by Rashid Jooma (2279884)

“…Data was collected from 5 city-wide hospitals with details of the injury, severity scoring and information of the circumstances of the crash. …”

Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine by Farida Mohsen (16994682)

“…Other models, such as hierarchical clustering (11%), Cox regression (11%), and natural language processing (4%), were also utilized. The data sources used in these studies included electronic health records (79%), imaging data (43%), and omics data (4%). …”

Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review by Alaa Abd-alrazaq (17058018)

“…A narrative approach was used for data synthesis.</p><h3>Results</h3><p dir="ltr">The search process returned 1470 records. …”

THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

“…<p dir="ltr">In 2016, the World Innovation Summit for Health (WISH) published its Forum Report on precision medicine “PRECISION MEDICINE - A GLOBAL ACTION PLAN FOR IMPACT”. Healthcare is undergoing a transformation, and it is imperative to leverage new technologies to generate new data and support the advent of precision medicine (PM). …”

‘Leanomics’ in healthcare: a three-year quality improvement study on the financial impact of a modified Kanban system in hospital storerooms by Kenneth Jun Logrono (23124322)

“…Impact was assessed using statistical process control charts generated with QI Macros software. …”

A novel few shot learning derived architecture for long-term HbA1c prediction by Marwa Qaraqe (10135172)

“…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”

Effectiveness of Serious Games for Improving Executive Functions Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis by Alaa Abd-alrazaq (17058018)

“…They are the high-order cognitive processes that enable an individual to concentrate, plan, and take action. …”

Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier by Syed Ali Jafar Zaidi (19563178)

“…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. Modern ML models are used for prediction, prioritization, and decision making. …”

The enablers, opportunities and challenges of electric vehicle adoption in Qatar: A systematic review of the literature and assessment of progress toward transportation transformat... by Abdulla Al-Shaiba (16940648)

“…RESULTS: The systematic review process identified 26 relevant publications, which is synthesized and critically assessed into the following thematic clusters: (a) assessments related to the electrical grid and diversifying the energy mix, (b) the planning and distribution of charging stations, and (c) knowledge, attitudes, and behaviors as it relates to the socio-cultural dimensions of EV adoption. …”

Nomograph derivation for underwater sour gas releases in shallow waters based on computational fluid dynamics simulations by Wafa Imran (22046537)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: Process Safety and Environmental Protection<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.psep.2024.06.053" target="_blank">https://dx.doi.org/10.1016/j.psep.2024.06.053</a></p>…”

Dynamic modeling of hydrogen production from boil-off gas (BOG) at onshore LNG facilities: Technical and socio-economic analysis by Noor Yusuf (15748120)

“…This work investigates the dynamic conversion of boil-off gas (BOG) using steam methane reforming (SMR) to produce H₂ within liquified natural gas (LNG) process. The study extends beyond technical considerations to encompass a socio-economic approach, exploring optimal H₂ allocation to different monetization techniques (e.g., ammonia and methanol) subject to final market price and demand data. …”

Papillary Thyroid Carcinoma with Fibromatosis/Fasciitis-Like/Desmoid-Type Stroma: Case Report of a Rare Subtype with Cytological and Molecular Study by Hosamadean Benghashir (22224895)

“…This case underscores the importance of recognizing this subtype, as itsspindle cell proliferation could be mistaken for a separate neoplasm or reactive process, resulting in inappropriatemanagement.</p><h3>Conclusions</h3><p dir="ltr">Increased awareness of this entity will help pathologists avoid diagnostic pitfalls and guide clinicians in developingmore precise treatment plans, addressing both the malignant papillary component and the unique stromal features.This case further enriches the current understanding of the heterogeneity of PTC and highlights the need fortailored management strategies in rare subtypes.…”

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

“…<p dir="ltr">Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. …”

Quantifying the uncertainty in future groundwater recharge simulations from regional climate models by Salah Basem Ajjur (14150967)

“…</p> </div><p></p><h2>Other Information</h2> <p> Published in: Hydrological Processes<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1002/hyp.14645" target="_blank">http://dx.doi.org/10.1002/hyp.14645</a></p>…”

Applications of social theories of learning in health professions education programs: A scoping review by Banan Mukhalalati (9721338)

“…Hence, it is argued that learning theories should influence educational curricula, interventions planning, implementation, and evaluation in health professions education programs (HPEPs). …”

Trueness and precision of facial scan and virtual patient representation workflow by Khaled Q. Al Hamad (21768251)

“…VPR accuracy was lower than face scan accuracy because of added errors in the alignment process. The investigated VPR workflow might be feasible for treatment planning and smile design. …”

Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1 by Natalie C Galles (9715361)

“…Using spatiotemporal Gaussian process regression, we produced location-specific and year-specific estimates of 11 routine childhood vaccine coverage indicators for 204 countries and territories from 1980 to 2019, adjusting for biases in country-reported data and reflecting reported stockouts and supply disruptions. …”