Digital Commons Network^™

Measurements And Analysis Of Light Non-Methane Hydrocarbon Mole Fractions In 1982–1987 At Six Remote Sites Along The Pacific Rim, A. M. Smith, C. L. Butenhoff, M. A. K. Khalil, A. L. Rice

Physics Faculty Publications and Presentations

Atmospheric non‐methane hydrocarbons (NMHCs) are important trace species with anthropogenic and natural sources including fugitive emissions from fossil fuel mining and distribution, biomass burning, biofuel combustion, and biogenic emissions from microbes and plants. We present previously unpublished whole air sample measurements of NMHCs collected at approximately weekly intervals from 1982 to 1987 at six stations spanning the Northern and Southern hemispheres, which sampled primarily Pacific Basin air masses as determined by back‐trajectory analysis. The four alkanes in this data set, ethane, propane, i‐ and n‐butane had a mean measured mole fraction of 712 ± 22 ppt, 245 ± 13 ppt, …

Attacks On Merchant Vessels Under The Law Of Economic Naval Warfare And Protection Of The Marine Environment: Lessons From The Russia-Ukraine War And The U.S.-Iran War, Alexander Lott

International Law Studies

This article examines the legality of attacks on merchant vessels during international armed conflicts, using reported Russian, Ukrainian, Iranian, and United States attacks between 2022 and 2026 as case studies. It evaluates belligerent rights to visit and search, divert, seize, disable, or, exceptionally, destroy merchant vessels under customary law. Drawing primarily on State practice, the study compares Russia’s blockade of Ukraine, Iran’s closure of the Strait of Hormuz, and the United States’ blockade of Iran. The emerging concept of a de facto blockade and its fusion with warning zones creates legal uncertainty and undermines humanitarian protection.

The legality of Iranian …

Sociolinguistic Compatibility In Ai Adoption: Extending Doi - Toe In Public Relations, Shadi Abu-Ayyash

CoHSS Faculty Work

Purpose - This study examines how AI adoption in public relations (PR) unfolds in the Arab region and positions that experience against global industry discourses, with attention to the linguistic and cultural conditions that shape adoption trajectories.

Design/methodology/approach – Guided by Diffusion of Innovations (DoI) and the Technology–Organization–Environment (TOE) framework, the study combines 20 semi structured interviews with senior Arab-region practitioners, association leaders and academics across six countries with a directed content analysis of professional guidelines and industry reports of global, cross-regional and regional scope.

Findings – Adoption is early-stage and selective, concentrated in content assistance, media intelligence and reputation …

Genetic Inheritance Of Leaf Rolling As An Adaptive Trait For Fog Capture And Drought Tolerance In Wheat, Sabah Merrium, Zulfiqar Ali, Latifa Alhusnain, Muneera D.F. Alkahtani, Sadia Hakeem, Sajid Fiaz, Muhammad Ali Sher, Kotb A. Attia, Seung Hwan Yang, Muhammad Abu Bakar Saddique, Muhammad Hammad Nadeem Tahir

Turkish Journal of Agriculture and Forestry

Wheat is a primary source of sustenance for around 2 billion people worldwide; however, its production is threatened by the water scarcity associated with climate change. In the search for climate-smart wheat varieties, atmospheric moisture in the form of fog and dew is gaining attention as a sustainable, self-irrigating water source for crops. Leaf rolling (LR) is a well-known adaptive trait under water deficit conditions that supports fog moisture capture in wheat; however, little is known about its genetic potential and inheritance pattern, particularly given its high environmental influence. This study assesses the genetic heritability, combining ability, and diversity of …

Valorization Of Buttermilk As A Functional Ingredient In Yogurt Soup: Effects On Physicochemical Properties, Aroma Profile, Amino Acid Composition, And Bioactivities, Emi̇ne Maci̇t, Fatma Zehra Özyilmaz

Turkish Journal of Agriculture and Forestry

​In this study, the feasibility of using buttermilk as a functional ingredient in yogurt soup, a traditional fermented dairy product, was investigated with the aim of valorizing dairy industry by-products. Soup samples prepared with different buttermilk ratios (0%, 25%, 50%, 75%, and 100%) were evaluated for their physicochemical and sensory properties, aroma and amino acid profiles, antioxidant capacity, and antidiabetic activity. The incorporation of buttermilk resulted in statistically significant differences in total solids, ash, and titratable acidity (p < 0.01 and p < 0.05), while no significant changes were observed in fat, protein, or pH values. Increasing buttermilk levels led to higher L* and b* values and lower a* values. Sensory analysis showed that flavor scores increased with buttermilk content, with the highest score observed in the sample containing 100% buttermilk (T5). In the control sample, hexanoic acid, benzoic acid, acetic acid, methyl salicylate, and several ketones were identified as dominant aroma compounds, whereas buttermilk-enriched samples were characterized mainly by hexanoic acid, acetic acid, butanoic acid, ethyl acetate, higher alcohols, and ethanol. Increasing buttermilk content resulted in a higher proportion of alcohols and a reduction in acids, ketones, and aldehydes. Samples with higher buttermilk levels exhibited increased essential amino acid content, while functional amino acids such as γ-aminobutyric acid, β-aminoisobutyric acid, ethanolamine, proline, and alanine reached their highest levels in the T5 sample. The T5 sample showed a DPPH radical scavenging activity of 5.98%, whereas the highest α-amylase inhibition was observed in the control sample. Overall, the results indicate that buttermilk can be effectively used as a functional ingredient in yogurt soup formulations, improving nutritional quality and sensory characteristics.

Tuber Yield Amplification In Dahlia Variabilis L. Under Humic Acid And Fertilizer Combinations, Kedar Mahadev Gheware, Nomita Laishram, Arvinder Singh, Sarabdeep Kour, Sourav Sharma, Aytan Samadova, Melekber Sülüşoğlu Durul, Hali̇l İbrahi̇m Tuzlaci

Turkish Journal of Agriculture and Forestry

Dahlia variabilis L. is a valued tuberous ornamental crop grown worldwide for its attractive flowers. Optimizing nutrient management is crucial for maximizing dahlia growth and tuber yield. In this field study, we evaluated the combined effects of humic acid (HA) and chemical fertilizers on the tuber production of Dahlia variabilis L. A factorial randomized complete block design was used with treatments combining three fertilizer levels (100%, 75%, and 50% of recommended NPK dose) and multiple HA treatments. HA was applied as a soil amendment and foliar spray in combination with inorganic NPK fertilizer. Results showed that integrating HA with reduced …

Bioactive Compounds In Fruits Of Newly Introduced Sweet Cherry Cultivars In Herzegovina, Jasmina Aliman, Mirjana Radović, Ahmed Džubur, Jasna Hasanbegović, Dženan Vukotić, Aleksandra Šupljeglav Jukić, Senad Murtić, Mihajlo Lizdek

Turkish Journal of Agriculture and Forestry

This study evaluated the biochemical characteristics and bioactive compounds of 3 newly introduced Italian sweet cherry cultivars (Sweet Valina, Sweet Stephany, and Sweet Gabriel) grown under the agroecological conditions of Herzegovina (Mostar and Trebinje). The analysis included total soluble solids, total acidity, sweetness index, total phenolic contents, total flavonoid contents, and antioxidant capacity in fruit skin and flesh. Significant differences were observed among cultivars, locations, and their interactions for most analyzed parameters. Fruits from Trebinje generally exhibited higher antioxidant capacity, total phenolic contents in the skin, soluble solids contents, and sweetness index values. Sweet Valina, particularly at the Trebinje location, …

Retraction Notice To “Characterization Of Tfiie-Regulated Genes By Transcriptome Analysis” [Turkish Journal Of Biology, Volume 48, Issue 6, Pages 442–455,Https://Doi.Org/10.55730/1300-0152.2718], Turkish Journal Of Biology

Turkish Journal of Biology

This article has been retracted.

Following concerns raised after publication, the matter was referred to the TÜBİTAK Committee on Research and Publication Ethics (AYEK) for investigation. An Expression of Concern was published while the investigation was ongoing; it was published in the Turkish Journal of Biology, Volume 49, Issue 3, https://journals.tubitak.gov.tr/biology/vol49/iss3/11/.

The investigation has now been concluded. Based on the findings, the project idea and research design underlying the study were used without appropriate attribution or permission. The investigation also determined that a researcher who had contributed to the intellectual foundation of the work—including the development of the …

Harassment Risks, Reporting Decisions And Institutional Responses During Hospitality Internships In Ghana, Ebenezer Junior Afful, Yaa Akubia

ICHRIE Research Reports

Hospitality internships can expose students to sexual harassment while leaving them uncertain whether reporting will bring protection or further risk. This study examined exposure, reporting decisions and perceived institutional response among hospitality students in Ghana. It combined a survey of 277 students from three technical universities with follow-up interviews involving 13 participants. Among valid responses, 27.0% reported personally experiencing harassment, while 30.4% reported witnessing it during placement. Only 43.2% of personal incidents and 38.3% of witnessed incidents were reported. Interviews showed that silence was shaped by normalised conduct, customer-service expectations, supervisory power, fear of consequences, unclear reporting routes, and distrust …

Enhancing Vocational Milling Machine Learning Through Powerpoint Hyperlink-Based Interactive Media, Ilham Bayu Haliludin, Marsono Marsono, Yayi Febdia Pradani, Yuli Panca Asmara

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The advancement of educational technology has led to the development of innovative learning media to improve student engagement and learning outcomes. This study aimed to develop and evaluate the feasibility and effectiveness of PowerPoint Hyperlink-based interactive learning media for milling machine material. The research employed the Research and Development (R&D) method using the 4D model, consisting of the Define, Design, and Develop stages. The research subjects were 20 tenth-grade students of the Machining Engineering Department at SMK Muhammadiyah 1 Kepanjen. The research instruments included expert validation sheets, questionnaires, pretest-posttest assessments, and documentation. Data were analyzed descriptively, while the effectiveness of …

On A Remark Of De Gennes Concerning Three-Dimensional Polyelectrolytes, Shiquan Li, Carl Mueller

Journal of Stochastic Analysis

This work is inspired by a remark of de Gennes [3] about polyelectrolytes, which are charged polymers. A common model for a polymer is a self-avoiding or self-repelling random walk or Brownian motion. For polyelectrolytes, the repelling potential is the Coulomb potential arising from pairs of charged particles. We show that in the continuous case of a Brownian motion in three dimensions, the spread of the polymer, in particular the radius of gyration of a polyelectrolyte of length T grows linearly with T, up to logarithmic corrections.

Using Status Characteristics Theory To Predict A Jury Foreperson, Mohona Mandal, Shane Thye

Feminist Pedagogy

The topic of social inequality as it relates to status structures is a foundational topic taught in many courses in contemporary sociology.  Today the theory of status characteristics and expectation states (SCT) is the predominant account of the causes and effects of status stratification in groups. The purpose of this paper is to share a classroom exercise that explicates the connections between SCT and critical theory, specifically intersectionality as an analytic framework. Using only the basic theoretical assumptions, students apply the underlying logic of SCT to predict who was selected as the jury foreperson based on brief biographies of each …

Theory In Service Of Students: Feminist Pedagogy, Status Processes, And Rotating Leadership, Alison J. Bianchi

Feminist Pedagogy

No abstract provided.

From Awareness To Action: The Group Processes Course As Design Laboratory, Kimberly B. Rogers

Feminist Pedagogy

In this article, I describe several pedagogical tools used in my group processes course to help students understand how group processes contribute to inequality and how to effectively intervene on these processes. I pair experimental research with work in natural settings to help students trace the development of theories across levels of application and understand their usefulness outside the laboratory. I incorporate reading reflections and simulation exercises that encourage students to apply course material to their own group experiences and make abstract group processes and their consequences more visible for analysis and action. I use complex instruction to promote more …

Showing Students Their Power: Demonstrating How Status Is Afforded In Interactions, Christianne Corbett

Feminist Pedagogy

The Showing Students their Power original teaching activity conveys to students in a visceral, embodied – and therefore hopefully memorable - way the concept of status, how it is afforded by others, and how quickly and accurately individuals perceive the status with which others view them. Students are informed that characteristics like gender, race, class, sexual orientation are status characteristics and that people who are viewed as lower status tend to be treated less respectfully. By identifying the existence of status, how it is conveyed from person to person, and the power we all have to influence other people, students …

Disrupting Conversational Patterns In Classroom Discussion Groups, Jennifer Mcleer, Vyoma Shah

Feminist Pedagogy

Classroom work groups serve many pedagogical purposes. Here, we focus on their function as spaces to witness, name, and disrupt the processes by which micro-level interactions reflect macro-level inequalities. We use theory and research from small group processes as the foundation to understand the strategies that educators can employ to change how groups run in order to disrupt status-laden participation differentials between categories of students. We argue that modeling and normalizing different ways of being in small groups gives students perspective on how established procedures of interaction contribute to problems of hierarchy and hegemony. By implementing the findings of group …

Ribosomal Biogenesis In Acute Myeloid Leukemia: A Less-Attended Process With Profound Implications For Oncogenesis And Therapeutic Vulnerability, Muhammad-Redha Abdullah-Zawawi, Nadiah Abu, Nurul Syakima Ab Mutalib, Farah Azima Abdul Muttlib, Hafiza Alauddin

Saudi Medical Journal

No abstract provided.

Drooling In Children With Cerebral Palsy: A Retrospective Observational Study Of Clinical Characteristics, Severity, And Treatment, Kamel Awadh Alenazi, Lama Dakhakhni, Nancy Hassan, Wejdan Almuhraj

Saudi Medical Journal

Objectives: To report the characteristics, severity, and treatment of drooling in cerebral palsy (CP) children.
Methods: This retrospective observational study included CP children with active complaints of drooling from the Drooling Clinic, Sultan Bin Abdulaziz Humanitarian City (Riyadh, Saudi Arabia). Drooling severity was assessed via the Modified Drooling Questionnaire (MDQ). The functional motor and manual ability levels were classified via the Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS).
Results: In total, 122 patients were identified. Mean age was 6.28 ± 2.71 years, and 67/122 (54.9%) were boys. Gastroesophageal reflux disease was noted in 23/122 (18.9%). …

Sinonasal Inverted Papilloma: Demographics, Recurrence Predictors, And Surgical Outcomes — A 10-Year Retrospective Review At A Tertiary Center In Saudi Arabia, Ali J. Asiry, Majed A. Alali, Nasir A. Magboul, Salem A. Alrasheed, Ibraheem M. Alkanhal, Mohammed A. Alabduljabbar, Raid H. Almadi, Abdullah S. Aldughaither, Faisal S. Alfawaz, Ali Majrashi, Saud Alromaih, Ghassan Alokby, Tamadar Al Doheyan

Saudi Medical Journal

Objectives: To characterize the demographic, clinical, and radiological profile of patients with sinonasal inverted papilloma (IP) managed at a tertiary center in Saudi Arabia, to determine recurrence rates in primary versus revision cases, and to identify factors associated with recurrence.
Methods: This retrospective observational study included 59 adult patients with histopathologically confirmed sinonasal inverted papilloma (IP). Demographic, clinical, radiological, and surgical data were extracted from medical records. Tumors were staged using the Krouse system. Patients were stratified into primary or revision cases, and associations with recurrence were evaluated.
Results: Most patients were men (72.9%) and older than 45 (79.7%) years …

Incidence Rate And Factors Predicting The Recurrent Cerebral Ischemic Events After The First-Ever Ischemic Stroke: A Single-Center Exploratory Study From The Eastern Region Of Saudi Arabia, Azra Zafar, Mustafa Al-Qarni

Saudi Medical Journal

Objective: First-ever ischemic stroke (FIS) patients carry a higher risk of recurrent ischemic strokes (RIS). This study reports the incidence rate and describes the factors predicting recurrences in FIS patients.
Methods: This retrospective study, enrolling patients with FIS, was carried out at the King Fahd Hospital. Association between different variables and RIS was determined by estimating the 95% confidence intervals (95% CI) and odds ratio (OR).
Results: The majority of patients were Saudi (74.1%) and male (72.9%). Over a 5-year follow-up study, the incidence rate was 26.1% (95% confidence interval [CI] = 22.2-30.1) for all recurrences and 22.7% (95% CI …

Beyond Chronological Age: Performance Status And Clinical Frailty Predict Survival In Saudi Geriatric Lymphoma Patients: A Competing Risk Analysis, Musa Fares Alzahrani, Ghazi S. Alotaibi, Sarah S. Sewaralthahab, Fatima A. Alshalati, Ibrahim N. Alrumaih, Badraa A. Muharib, Kazi Nur Asfina, Saleh Ahmed Alkholaif, Shaden A. Albassam, Saleh Abdullah Aljanah, Shahad A. Al Hemidin, Ahmed Y. Jamal, Fadi S. Alakeel, Walid A. Alkeridy, Farjah H. Algahtani, Aamer Aleem

Saudi Medical Journal

Objective: To evaluate the prognostic impact of performance status, frailty, and treatment intensity on survival outcomes in a geriatric lymphoma cohort using a competing risk framework. In Saudi Arabia, despite a growing aging population, there is a lack of literature detailing frailty or survival dynamics for geriatric lymphoma patients.
Methods: We conducted retrospective cohort study in Tertiary center in Riyadh, Saudi Arabia. Geriatric patients (≥ 60 years) diagnosed with lymphoma during 2011–2024 were analyzed. Baseline demographics, laboratory parameters, pathology, and frailty status were extracted. Survival dynamics were modeled using cumulative incidence functions to isolate lymphoma-related mortality (LRM) from age-related competing …

Growth, Methodological Evolution, And Clinical Maturity Of Artificial Intelligence Research In Major Medical Journals, 2018–2025: A Longitudinal Bibliometric Study, Abdulraoof Alsaeedi, Norah Alqarni, Ibrahim Rozi, Mohamed Ibrahim

Saudi Medical Journal

Objectives: To quantify changes in the volume, methods, and clinical maturity of artificial intelligence (AI) and machine learning (ML) research in major medical journals from 2018 through 2025.
Methods: We conducted a longitudinal bibliometric study of PubMed-indexed records from 99 leading clinical and general medical journals. The search was conducted on July 2026. Records were deduplicated and classified as empirical AI/ML research, evidence synthesis, AI discourse, or unclassified. Empirical studies were categorized by model family and clinical maturity. Journal-year Poisson generalized estimating equations used total substantive publications as an offset and clustered observations by journal.
Results: Among 6,891 unique publications, …

Barriers To And Needs For The Implementation Of Artificial Intelligence In Radiation Therapy Planning In Saudi Arabia. A Cross-Sectional Survey, Abdulaziz Alshaikh, Ghadah Alqarni, Abdulaziz Alghamdi, Khalid Alrabiah, Nasser Al-Rajhi, Mohammed Aldehaim

Saudi Medical Journal

Objectives: To assess radiation oncology physicians' perceptions of artificial intelligence (AI) in radiation therapy planning in Saudi Arabia and identify barriers to and support needs for its implementation.
Methods: A cross-sectional online survey was distributed through the Saudi Association of Radiation Oncology email list to 142 physicians from April to May 2026. We analyzed responses using descriptive statistics and exploratory 2-sided Fisher exact tests comparing residents with nonresidents.
Results: Forty-three complete responses were analyzed (response rate: 30.3%). A total of 33 (76.7%) respondents agreed or strongly agreed that AI would improve planning accuracy and efficiency. Nineteen (44.2%) reported no workplace …

Artificial Intelligence Readiness Among Paramedics At The Saudi Red Crescent Authority: A Cross-Sectional Study, Mohammed Jamaan Alsahli

Saudi Medical Journal

Objective: To evaluate AI readiness among paramedics working within the Saudi Red Crescent Authority (SRCA) and examine demographic and professional characteristics related to their readiness.
Methods: This cross-sectional study was conducted among SRCA paramedics. Data were collected through a structured online questionnaire covering demographic and professional features and the validated Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), which assesses four dimensions: Cognition, Ability, Vision, and Ethics. Comparisons between groups were performed with the Mann-Whitney U and Kruskal-Wallis tests, while correlations were assessed using Spearman's rank correlation, and a multiple linear regression model examined factors independently related to AI …

Artificial Intelligence For Magnetic Resonance Imaging-Based Diagnosis Of Alzheimer's Disease, Walaa M. Alsharif

Saudi Medical Journal

Alzheimer's disease (AD) is a progressive neurodegenerative disorder requiring timely diagnosis. This structured narrative review examines artificial intelligence (AI) and deep-learning applications (DL) for MRI-based diagnosis of AD and mild cognitive impairment (MCI). PubMed and Web of Science were searched between April-June 2026; Scopus and ScienceDirect supported supplementary discovery. Studies were purposively selected using predefined eligibility criteria, with 42 primary studies summarized. Convolutional neural networks, transformers, transfer learning, and multimodal approaches frequently reported promising classification performance. However, findings varied across datasets, tasks, validation procedures, and populations, while high accuracies were often derived from curated datasets and internal validation. Limited external …

Artificial Intelligence In Gastrointestinal Precision Medicine: A Critical Appraisal Through The Lens Of Inflammatory Bowel Disease, Abdulrahman G. Alharbi, Abdulrahman A. Aljabri

Saudi Medical Journal

Artificial intelligence (AI) now supports many facets of gastrointestinal and hepatic care, from lesion recognition during endoscopy to the interpretation of large molecular datasets. This review first outlines AI's broader role across gastroenterology and hepatology, and then uses inflammatory bowel disease (IBD) as a case study for AI-assisted multiomics integration. The review applies a consistent evidentiary framework that distinguishes exploratory, retrospective, and prospective study designs. Retrospective genomic and image-based studies report promising discriminative performance for risk classification and lesion detection, but this evidence remains largely exploratory or retrospective, whereas prospective randomized evidence is currently strongest for AI-assisted endoscopic polyp detection. …

Efficacy And Safety Of Botulinum Toxin For The Treatment Of Psoriasis: A Systematic Review And Meta-Analysis, Rahaf A. Alothman, Hussein M. Alshamrani, Mishari T. Alrubaiaan, Ruba M. Alghanmi, Reshale A. Johar, Lina K. Almutairi, Mohammed H. Abduljabbar, Ahmed M. Baabdullah, Sultan S. Alfaer

Saudi Medical Journal

Objective: To evaluate the current literature on Botulinum toxin (BoNT) use in psoriasis treatment, focusing on efficacy and safety. Botulinum toxin, known for its neuroprotective effects, is a promising therapeutic agent for inflammatory skin diseases.
Methods: We searched electronic databases, including MEDLINE, Web of Science, and Google Scholar, from inception until March 2025 to identify randomized controlled trials and cohort studies in English that enrolled patients with psoriasis treated with BoNT injections over their lesions, reported outcomes related to the clinical question, and included raw numbers of outcomes.
Results: Of the 342 retrieved articles, 166 duplicates were removed. Screening of …

Association Of Kirsten Rat Sarcoma Viral Oncogene Homolog Mutation With The Prognosis Of Colorectal Cancer In Arab Countries And Saudi Arabia: A Systematic Review And Meta-Analysis, Mohammed Ageeli Hakami, Hassan Abdullah Albargy

Saudi Medical Journal

Objectives: To quantify the potential impact of Kirsten rat sarcoma (KRAS) mutation on survival outcomes in colorectal cancer (CRC) patients from Arab countries, particularly in Saudi Arabia. As a chief cause of cancer-associated mortality worldwide, CRC shows a rising incidence across Arab countries. Among molecular drivers, KRAS mutation plays a pivotal role in tumor initiation, resistance to therapies, and disease progression. Nonetheless, the prognostic influence of KRAS mutation in Arab populations remains inconclusive.
Methods: Key databases were searched to find appropriate publications. Eligible studies evaluated KRAS mutation’s association with overall survival (OS) in CRC patients from Arab nations. Hazard ratios …

Evaluating The Diagnostic Performance And Clinical Interpretability Of Explainable Ai (Xai) In Digital Histopathology: A Meta-Analysis Of Diagnostic Performance, Bandar S. Alshreef, Yousif A. Kariri

Saudi Medical Journal

Objective: To explore peer-reviewed research on the application of Explainable Artificial Intelligence (XAI) techniques for histopathology-driven cancer risk evaluation, and to address the limitations delaying its transition into routine clinical pathology practice (such as model reliability, clinical interpretability, and governance oversight).
Methods: We conducted a systematic review with quantitative meta-analysis of studies evaluating explainable artificial intelligence (XAI) in histopathology. Searches were performed in Web of Science, Scopus, PubMed, and Google Scholar through November 2025. Eligible studies were assessed for diagnostic performance, explainability approaches, and methodological quality. Of the 47 included studies, 9 provided sufficient quantitative data for meta-analysis. Post-hoc visual …

Machine Learning And Large Language Model Decision Support For Medication-Error Prevention Across The Medication-Use Process: A Systematic Review With Implications For Saudi Arabia, Emad A. Alsaleh, Maram J. Alnemer, Yousef H. A. Alhassan, Asaad A. A. Khalil, Mohammed A. Kaddoura, Azfar Athar Ishaqui, Muhammad B. Maqsood, Adnan Iqbal

Saudi Medical Journal

Objectives: Medication errors are a major source of preventable harm. We systematically reviewed workflow integrated artificial intelligence (AI) decision support (machine learning [ML], natural language processing, computer vision, and large language models [LLMs]) aimed at detecting, intercepting, or preventing medication errors, and considered implications for Saudi Arabia.
Methods: We searched MEDLINE (PubMed), Embase, Scopus, Web of Science Core Collection, IEEE Xplore, and the Cochrane Library for English language studies published from January 2010 to February 2026. Eligible studies used real clinical/pharmacy data and evaluated an AI component designed to prevent or detect medication errors across prescribing/order verification, dispensing, …