Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data

Arjun Agarwal; Nirman Bharti; Tamaghna Ghosh; Satish Golla; Navpreet K. Bains; Rashi Chamadia; Dennis Robert; Preetham Putha; Adnan I. Qureshi

doi:10.1371/journal.pone.0334242

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Open Access

Peer-reviewed

Research Article

Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data

Arjun Agarwal,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft

Affiliation Qure.ai Technologies Private Limited, Mumbai, India
⨯
Nirman Bharti,

Roles Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

Affiliation Qure.ai Technologies Private Limited, Bangalore, India
⨯
Tamaghna Ghosh,

Roles Conceptualization, Funding acquisition, Methodology, Resources, Software, Writing – review & editing

Affiliation Qure.ai Technologies Private Limited, Bangalore, India
⨯
Satish Golla,

Roles Conceptualization, Data curation, Methodology, Resources, Software, Writing – review & editing

Affiliation Qure.ai Technologies Private Limited, Bangalore, India
⨯
Navpreet K. Bains,

Roles Conceptualization, Data curation, Investigation, Resources, Supervision, Validation, Writing – review & editing

Affiliations Zeenat Qureshi Stroke Institute, St. Cloud, Minnesota, United States of America, University of Missouri, Columbia, United States of America
⨯
Rashi Chamadia,

Roles Project administration, Resources, Software, Writing – review & editing

Affiliation Qure.ai Technologies Private Limited, Bangalore, India
⨯
Dennis Robert ,

Roles Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft

* E-mail: dennis.robert.nm@gmail.com, dennis.robert@qure.ai

Affiliation Qure.ai Technologies Private Limited, Bangalore, India

https://orcid.org/0000-0002-8539-6408

⨯
Preetham Putha,

Roles Conceptualization, Funding acquisition, Resources, Software, Supervision, Writing – review & editing

Affiliation Qure.ai Technologies Private Limited, Bangalore, India
⨯
Adnan I. Qureshi

Roles Conceptualization, Investigation, Supervision, Writing – review & editing

Affiliations Zeenat Qureshi Stroke Institute, St. Cloud, Minnesota, United States of America, University of Missouri, Columbia, United States of America
⨯

Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data

Arjun Agarwal,
Nirman Bharti,
Tamaghna Ghosh,
Satish Golla,
Navpreet K. Bains,
Rashi Chamadia,
Dennis Robert,
Preetham Putha,
Adnan I. Qureshi

Published: October 10, 2025
https://doi.org/10.1371/journal.pone.0334242

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