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Omid MehrpourMD, FACMT
Research & publications

The evidence behind the work.

Clinical studies, data science and evidence synthesis across poisoning care and public health.

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Featured studies
2022 · Clinical AI

Identifying a poisoning from clinical patterns

The team compared four machine-learning classifiers using 201,031 NPDS records from 2014–2018. The models distinguished eight selected drugs or drug classes with overall accuracy of 77–80%. This was a retrospective pilot restricted to single-agent exposures, not a validation of diagnosis in unselected emergency patients.

First author; corresponding author in the publisher record.

Full citation & links

Omid Mehrpour, Christopher Hoyte, Heather Delva-Clark, Abdullah Al Masud, Ashis Biswas, Jonathan Schimmel, Samaneh Nakhaee, Foster Goss. Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System. Basic & clinical pharmacology & toxicology. 2022;131(6):566-574. DOI: 10.1111/bcpt.13800.

PubMed
2023 · Clinical AI

Deep learning for poisoning classification

Using the same NPDS period and eight single-agent exposure categories, the team tested PyTorch and Keras neural networks. Both achieved 83% overall accuracy. The study excluded polysubstance exposures and supplied a public code repository. Prospective clinical performance remains to be tested.

First author; results attributed to the research team.

Full citation & links

Omid Mehrpour, Christopher Hoyte, Abdullah Al Masud, Ashis Biswas, Jonathan Schimmel, Samaneh Nakhaee, Mohammad Sadegh Nasr, Heather Delva-Clark, Foster Goss. Deep learning neural network derivation and testing to distinguish acute poisonings. Expert opinion on drug metabolism & toxicology. 2023;19(6):367-380. DOI: 10.1080/17425255.2023.2232724.

PubMed
2026 · Medication safety

A clinical framework for a difficult overdose

A 2026 review proposes using bedside echocardiography to distinguish vasoplegia from cardiogenic shock in calcium channel blocker overdose. The authors describe treatment and reassessment pathways, and explicitly call for prospective validation. It is a proposed framework, not a validated clinical rule.

Coauthor.

Full citation & links

Omid Mehrpour, Jeffrey Brent. Proposed echocardiography-guided flowchart for calcium channel blocker overdose: distinguishing vasoplegia from cardiogenic shock. Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences. 2026;34(1). DOI: 10.1007/s40199-026-00596-z.

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2023 · Clinical AI

Comparing interpretable prediction methods

This NPDS study compared decision trees with other machine-learning methods for distinguishing biguanide from sulfonylurea exposures. The publisher’s contribution statement credits me with designing the study and performing machine-learning coding, alongside the team’s writing and revision work.

First and corresponding author; study design and machine-learning coding documented.

Full citation & links

Omid Mehrpour, Farhad Saeedi, Samaneh Nakhaee, Farbod Tavakkoli Khomeini, Ali Hadianfar, Alireza Amirabadizadeh, Christopher Hoyte. Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. BMC medical informatics and decision making. 2023;23(1):60. DOI: 10.1186/s12911-022-02095-y.

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2018 · Opioids & substance use

Recognizing lead exposure in opioid use

This review examines lead-adulterated opium in Iran and the diagnostic difficulties posed by nonspecific clinical symptoms. It connects substance-use research with environmental toxicology and public-health surveillance.

Coauthor.

Full citation & links

Samira Alinejad, Jan Aaseth, Mohammad Abdollahi, Hossein Hassanian-Moghaddam, Omid Mehrpour. Clinical Aspects of Opium Adulterated with Lead in Iran: A Review. Basic & clinical pharmacology & toxicology. 2018;122(1):56-64. DOI: 10.1111/bcpt.12855.

PubMed
2012 · Environmental toxicology

A sustained focus on aluminum phosphide

A systematic review of the epidemiology, toxicity and clinical presentation of aluminum phosphide poisoning. It is part of a longer research program on this pesticide. The 2012 management discussion should be read in its historical context.

First author.

Full citation & links

Omid Mehrpour, Mostafa Jafarzadeh, Mohammad Abdollahi. A systematic review of aluminium phosphide poisoning. Arhiv za higijenu rada i toksikologiju. 2012;63(1):61-73. DOI: 10.2478/10004-1254-63-2012-2182.

PubMed
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Book chapters

The count reflects records included in this catalog, not my lifetime publication total. Last catalog review: 7 September 2026. Coverage and methods.