Reference health
AI-Driven Pharmacovigilance and Molecular Profiling of Fluoroquinolone-Associated Cardiotoxicity in the UAE: A Geospatial and Machine Learning Analysis with Structural Modification Strategies (2018-2023)
21/21 checkable references clean · checked 2026-07-24
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
20 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 21 checked references that resolve
resolves10.1007/s40264-018-0751-2
Fluoroquinolones and Cardiovascular Risk: A Systematic Review, Meta-analysis and Network Meta-analysis
resolves10.1159/000334441
QT Prolongation and Torsade de Pointes Induced by Fluoroquinolones: Infrequent Side Effects from Commonly Used Medications
resolves10.1186/s40545-023-00593-6
A national survey of knowledge, attitude, practice, and barriers towards pharmacovigilance and adverse drug reaction reporting among hospital pharmacy practitioners in the United Arab Emirates
resolves10.1016/S2589-7500(21)00229-6
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review
resolves10.3389/fdsfr.2024.1356405
Artificial intelligence for optimizing benefits and minimizing risks of pharmacological therapies: challenges and opportunities
resolves10.3390/biomedicines13020427
The Heart of Transformation: Exploring Artificial Intelligence in Cardiovascular Disease
resolves10.1177/1074248421995348
Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data
resolves10.1016/j.scitotenv.2014.08.075
Fluoroquinolone antibiotics: An emerging class of environmental micropollutants
resolves10.1016/j.jbi.2022.104265
Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions
resolves10.7150/ijms.34141
Torsades de pointes and QT prolongation Associations with Antibiotics: A Pharmacovigilance Study of the FDA Adverse Event Reporting System
resolves10.1001/jamanetworkopen.2022.24892
Association of Higher-Dose Fluoroquinolone Therapy With Serious Adverse Events in Older Adults With Advanced Chronic Kidney Disease
resolves10.1001/jamanetworkopen.2021.36662
Association of Fluoroquinolone Prescribing Rates With Black Box Warnings from the US Food and Drug Administration
resolves10.1016/j.jbi.2023.104370
Contextualized medication information extraction using Transformer-based deep learning architectures
resolves10.1093/bib/bbab133
SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction
resolves10.2196/41055
High-Throughput Assessment of Real-World Medication Effects on QT Interval Prolongation: Observational Study
resolves10.3390/ijms24076771
Unraveling Structural Alerts in Marketed Drugs for Improving Adverse Outcome Pathway Framework of Drug-Induced QT Prolongation
resolves10.3390/pathogens14040371
Change of Heart: Can Artificial Intelligence Transform Infective Endocarditis Management?
resolves10.3390/diagnostics14212393
Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review
resolves10.1016/j.envint.2018.08.048
Human health risk assessment of pharmaceuticals in treated wastewater reused for non-potable applications in Sharjah, United Arab Emirates
resolves10.1016/j.compbiomed.2023.106649
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
The 20 references without a DOI — listed, not checked
no DOI — not checkedThe Potential of Artificial Intelligence and Machine Learning in Pharmacovigilance: An Update
no DOI — not checkedref5
no DOI — not checkedPharmacovigilance and Adverse Drug Reaction Reporting Activities in the United Arab Emirates: A Scoping Review
no DOI — not checkedref7
no DOI — not checkedEarly Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review
no DOI — not checkedHow can physicians adopt AI-based applications in the United Arab Emirates to improve patient outcomes?
no DOI — not checkedA Rare Case of Ciprofloxacin-Induced Bradycardia Recognized by a Smartwatch
no DOI — not checkedPsychiatric disorders associated with fluoroquinolones: a pharmacovigilance analysis of the FDA adverse event reporting system database
no DOI — not checkedA real-world pharmacovigilance study of drug-induced QT interval prolongation: analysis of spontaneous reports submitted to FAERS
no DOI — not checkedMIMIC-IV-ECG Demo -Diagnostic Electrocardiogram Matched Subset Demo (version 0.1)
no DOI — not checkedArtificial Intelligence and Machine Learning in Credit Risk Assessment: Enhancing Accuracy and Ensuring Fairness
no DOI — not checkedFluoroquinolones increase the risk of serious arrhythmias: A systematic review and meta-analysis
no DOI — not checkedProfiling genetic variants in cardiovascular disease genes among a Heterogeneous cohort of Mendelian conditions patients and electronic health records
no DOI — not checkedref33
no DOI — not checkedref34
no DOI — not checkedref35
no DOI — not checkedGeneral public views, attitudes, and experiences toward drug safety in Dubai, United Arab Emirates: a qualitative approach
no DOI — not checkedA real-world pharmacovigilance study of drug-induced QT interval prolongation: analysis of spontaneous reports submitted to FAERS
no DOI — not checkedref40
no DOI — not checkedtrend in clinical sentiment toward fluoroquinolone safety. (C) Recovery outcomes from ADRs reported in 2023
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