Fahad Javaid Siddiqui

Assistant Professor

Duke-NUS Medical School

Singapore

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About

Fahad Javaid Siddiqui is an Assistant Professor at Duke-NUS Medical School in Singapore. His research areas include emergency medicine, cardiopulmonary resuscitation, and the application of artificial intelligence in prehospital emergency care. He has authored several recent articles addressing key issues such as global disparities in cardiac arrest responses and risk stratification for emergency department presentations.

Articles (15)

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2025

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2025

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2025

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (11)

YOHEI OKADA

Assistant Professor

Duke-NUS Medical School

SINGAPORE

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Ki Jeong Hong

Clinical professor

Seoul National University College of Medicine

SOUTH KOREA

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Shao Wei Sean Lam

Singapore Management University

SINGAPORE

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Sze Ling Chan

Adjunct Assistant Professor

Duke-NUS Medical School

SINGAPORE

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David Matchar

Duke University

UNITED STATES

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National University Hospital

SINGAPORE

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Fahad Javaid Siddiqui

Research Interests

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About

Articles (15)

Pragmatic Risk Stratification Method to Identify Emergency Department Presentations for Alternative Care Service Pathways: Registry-Based Retrospective Study Over 5 Years

Association of Scene Time Interval and Field Arrival to Epinephrine Administration Time with Outcomes in Cardiac Arrest

Missing Data in OHCA Registries: How Imputation Methods Affect Research Conclusions—Paper I

Global Sex Disparities in Bystander Cardiopulmonary Resuscitation After Out‐of‐Hospital Cardiac Arrest: A Scoping Review

Assertive community treatment for high-utilizing alcohol misuse patients: a before-and-after cohort study protocol

Artificial Intelligence and Machine Learning in Prehospital Emergency Care: A Scoping Review

Viewing the Role of Alternate Care Service Pathways in the Emergency Care System through a Causal Loop Diagram Lens

Risk of wound infection with use of sterile versus clean gloves in wound repair at the Emergency Department: A systematic review and meta-analysis

Hidden disparities in the rising prevalence of bystander cardiopulmonary resuscitation

Comparative efficacy of anaesthetic methods for closed reduction of paediatric forearm fractures: a systematic review

How long will the COVID-19 pandemic last: commentary from Singapore’s perspective

Emergency department utilisation among older adults—Protocol for a systematic review of determinants and conceptual frameworks

Implementation of prediction models in the emergency department from an implementation science perspective—Determinants, outcomes and real-world impact: A scoping review protocol

Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

An Agile Systems Modeling Framework for Bed Resource Planning During COVID-19 Pandemic in Singapore

Collaborators (11)

YOHEI OKADA

Ki Jeong Hong

Shao Wei Sean Lam

Sze Ling Chan

David Matchar

Bibhas Chakraborty

Yih Yng Ng

Andrew Fu Wah Ho

Kyoung Jun Song

Nan Liu

Benjamin Leong

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