Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed
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Publication Metadata only Environmental Factors and Cardiovascular Susceptibility: Toward Personalized Prevention Mediated by the Role of Artificial Intelligence–A Narrative Review(John Wiley and Sons Inc, 2025) Soufan, Fatima; Tukur, Hajar Nasir; Tamir, Ruth Girum; Muhirwa, Ernest; Wojtara, Magda Sara; Uwishema, Olivier; Soufan, Fatima, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Beirut Arab University, Beirut, Lebanon; Tukur, Hajar Nasir, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Tamir, Ruth Girum, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Addis Ababa Health Bureau, Addis Ababa, Ethiopia; Muhirwa, Ernest, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, World Vision International, Monrovia, United States; Wojtara, Magda Sara, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, University of Michigan Medical School, Ann Arbor, United States; Uwishema, Olivier, Department of Research and Education, Oli Health Magazine Organization, Kigali, RwandaBackground and Purpose: Cardiovascular diseases (CVD) represent a significant global health challenge due to high morbidity and mortality rates, that necessitate approaching the intricate relation between cardiovascular susceptibility and environmental factors, highlighting the importance of creating personalized cardiovascular prevention plans. Furthermore, as it is becoming integrated with the various aspects of healthcare, the role of artificial intelligence in cardiovascular and precision medicine is driving innovations towards personalized care. This review dives into the complex connection between cardiovascular susceptibility and environmental risk highlighting the importance of creating personalized cardiovascular preventive strategies in light of the upcoming artificial intelligence. Methods: An in-depth review was conducted using PubMed and ScienceDirect, to collect data from all articles that handled environmental factors and cardiovascular susceptibility with special emphasis on the up-to-date emerging role of artificial intelligence in preventive strategies. Results: The review revealed high heritability estimates and highlighted the significance of modifiable risk factors which are pivotal determinants affecting CVD susceptibility. The integration of artificial intelligence is implementing the power of precision preventive medicine that can be directed toward specific environmental factors, shifting the whole healthcare system to superior outcomes. Conclusion: Recognizing the preventability of CVD through personalized environmental modifications, this review advocates tailored prevention plans that account for individual characteristics. Despite its proven efficacy in managing modifiable risk factors, achieving optimal cardiovascular health remains challenging, necessitating innovative strategies and the integration of artificial intelligence in personalized healthcare. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only The role of NGOs and humanitarian organizations in enhancing surgical capacity in Africa: lessons learned and future directions—a narrative review(Oxford University Press, 2025) Tukur, Hajar Nasir; Uwishema, Olivier; Soufan, Fatima; Tamir, Ruth Girum; Wellington, Jack; Tukur, Hajar Nasir, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Uwishema, Olivier, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda; Soufan, Fatima, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Beirut Arab University, Beirut, Lebanon; Tamir, Ruth Girum, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Addis Ababa Health Bureau, Addis Ababa, Ethiopia; Wellington, Jack, Department of Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, 5Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United KingdomIntroduction: Significant inequities exist in surgical care accessibility across marginalized African communities. Non-governmental organizations (NGOs) and humanitarian groups are vital in supporting Africa’s surgical infrastructure. This narrative review explores the current status of surgical care in Africa, highlighting NGO initiatives, past challenges, and future opportunities. Methods: A narrative review was conducted using PubMed/Medline, ScienceDirect, and other relevant organizational websites. Results: Over 90% of patients in Africa lack access to proper surgical care due to funding shortages, inadequate resources, and a lack of skilled personnel. NGOs have addressed these gaps through successful initiatives, including fundraising and training, although past failures emphasize the need for clearer objectives and sustainable strategies. Discussion: Future efforts should prioritize addressing cultural sensitivities, setting realistic goals, and leveraging telemedicine. NGOs and humanitarian organizations will remain critical to improving surgical care for underserved populations in Africa. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only AI-assisted ophthalmic imaging for early detection of neurodegenerative diseases(BioMed Central Ltd, 2025) Tukur, Hajar Nasir; Uwishema, Olivier; Akbay, Hatice; Sheikhah, Dalal; Silva Correia, Inês F.; Tukur, Hajar Nasir, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Uwishema, Olivier, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Oli Health Magazine Organization, Kigali, Rwanda; Akbay, Hatice, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Marmara Üniversitesi Tip Fakültesi, Istanbul, Turkey; Sheikhah, Dalal, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Silva Correia, Inês F., Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, School of Medicine, Chelmsford, United KingdomBackground: Artificial intelligence (AI) plays a promising role in ophthalmic imaging by providing innovative, non-invasive tools for the early detection of neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD). Since early diagnosis is crucial for slowing disease progression and improving patient outcomes, leveraging AI-assisted ophthalmic imaging retinal imaging can enhance detection accuracy and clinical decision-making. Methods: This review examines clinical applications of AI in identifying retinal biomarkers associated with neurodegenerative diseases. Relevant data was gathered through a comprehensive literature review using PubMed, ScienceDirect, and Google Scholar to evaluate studies utilizing AI algorithms for retinal imaging analysis, focusing on diagnostic performance, sensitivity, specificity, and clinical relevance. Results: AI-assisted ophthalmic imaging retinal imaging enhances the early identification of neurodegenerative diseases by detecting microscopic structural and vascular changes in the retina. Studies have demonstrated that AI models analyzing Optical Coherence Tomography (OCT) and fundus images achieve high diagnostic accuracy. Studies have reported an area under the curve (AUC) of up to 0.918 in PD detection, with sensitivity ranging from 80 to 100% and specificity up to 85%. Similarly, AI-assisted OCT angiography (OCT-A) analysis has successfully identified retinal vascular alterations in AD patients, correlating with cognitive decline and an AUC of 0.73–0.91. These findings highlight AI’s potential to detect preclinical disease stages before significant neurological symptoms manifest. Discussion: The integration of AI technologies into ophthalmic imaging holds the potential to improve early diagnosis and transform patient outcomes. However, challenges such as model interpretability, dataset biases, and ethical considerations must be addressed to ensure the responsible integration of AI into clinical practice. Future research should focus on refining AI algorithms, integrating multimodal imaging techniques, and developing predictive biomarkers to optimize early intervention strategies for neurodegenerative diseases. Clinical trial number: Not applicable. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only Visual field outcomes after cataract surgery with or without microinvasive glaucoma surgery in open-angle glaucoma: a systematic review and meta-analysis of RCTs reporting visual field results(Springer Science and Business Media B.V., 2025) Tukur, Hajar Nasir; Quintanar-Haro, Orlando Daniel; Toygar, Okan; Tukur, Hajar Nasir, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Quintanar-Haro, Orlando Daniel, Department of Ophthalmology, Hospital Juárez de México, Mexico, Mexico; Toygar, Okan, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, TurkeyPurpose: To compare the benefits of combining microinvasive glaucoma surgery (MIGS) with cataract surgery (CS) for visual field (VF) preservation in patients with primary open-angle glaucoma (POAG) and coexisting cataracts. Methods: A systematic review and meta-analysis were conducted on randomised controlled trials (RCTs) comparing MIGS + CS to CS alone in POAG patients with cataracts that specifically reported visual field outcomes. Studies included were required to report VF outcomes with a follow-up of at least 12 months. Subanalysis focused on studies with 24-month follow-up durations, and consistent device used. Results: Three RCTs encompassing 857 eyes were included, with 523 eyes in the MIGS + CS group and 334 in the CS group. MIGS + CS was associated with a statistically significant reduced rate of VF deterioration in Mean Deviation (MD) at the 24-month follow-up compared to CS alone (SMD 0.29, p = 0.007), and a significant difference between groups in the rate of VF progression (MD 0.23 decibels (dB)/year, p = 0.00001). However, there was no difference in IOP reduction (MD -0.46 mmHg, p = 0.40). The MIGS + CS group showed a significant reduction in medication use (MD -0.36 medications, p < 0.00001). Conclusion: Among the MIGS devices studied (iStent and Hydrus), combining them with cataract surgery provided VF benefits in terms of rate of deterioration and decline, and reduced medication dependence. Standardised follow-up and reporting practices are essential for evaluating MIGS’s role in glaucoma management. © 2025 Elsevier B.V., All rights reserved.Publication Metadata only Neuro-ophthalmology and migraine: visual aura and its neural basis(BioMed Central Ltd, 2025) Tukur, Hajar Nasir; Uwishema, Olivier; Sheikhah, Dalal; Akbay, Hatice; Tukur, Hajar Nasir, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Uwishema, Olivier, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda; Sheikhah, Dalal, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Bahçeşehir Üniversitesi, Istanbul, Turkey; Akbay, Hatice, Research and Education, Oli Health Magazine Organization, Kigali, Rwanda, Faculty of Medicine, Marmara University, Istanbul, RwandaBackground: Migraine, a chronic neurological condition often accompanied by visual aura, which affects 15–33% of migraineurs, often presents as transient visual disturbances such as scintillating scotoma and teichopsia. These symptoms arise primarily from cortical spreading depression (CSD) within the occipital cortex and significantly impacts the quality of life, with chronic and episodic migraineurs consistently scoring lower scores in vision-specific quality of life questionnaires. Therefore, this narrative review explores the pathophysiology pertaining to visual aura in migraines, focusing on the role of CSD while evaluating current diagnostic and therapeutic approaches employed. Methods: A narrative literature review was conducted using PubMed and ScienceDirect, focusing on studies published between 2000 and 2025. Search terms related to migraine, visual aura, and cortical spreading depression were used to identify relevant original research, reviews, and clinical studies addressing the pathophysiology, diagnosis, and treatment of migraine-related visual aura. Results: Findings indicate that CSD drove transient visual symptoms by triggering waves of neuronal depolarization and hypoperfusion in the visual cortex. Contemporaneous treatment modalities target the headache phase of migraine, with limited alternatives for aura-specific intervention. Conclusion: Advancement in neuroimaging and genetic research offer promising avenues for early diagnosis alongside focused therapeutics for migraine with aura. However, current treatment strategies remain largely focused on the headache phase, with limited efficacy for aura-specific symptoms. Future therapeutic approaches targeting cortical spreading depression may offer more precise interventions for managing visual aura in migraine. © 2025 Elsevier B.V., All rights reserved.