Hoor Jalo

Doctoral Student at Biomedical Signals and Systems

Hoor Jalo is a PhD student with the Care@Distance - Remote and Prehospital Digital Health research group. Her research focuses on developing AI-based decision support systems for stroke patients in prehospital settings. By leveraging advanced decision models, her work aims to reduce the time to deliver optimal treatment, potentially reducing stroke severity and improving patient outcomes.

Source: chalmers.se
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Showing 6 publications

2024

Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review

Hoor Jalo, Eunji Lee, Mattias Seth et al
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2
Paper in proceeding
2024
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Reviewing Challenges in Specifying Interoperability Requirement in Procurement of Health Information Systems

Mattias Seth, Hoor Jalo, Eunji Lee et al
Studies in Health Technology and Informatics. Vol. 310, p. 8-12
Journal article
2024

Stroke Prehospital Decision Support Systems Based on Artificial Intelligence: Grey Literature Scoping Review

Hoor Jalo, Eunji Lee, Mattias Seth et al
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies . Vol. 2, p. 458-465
Paper in proceeding
2023
Open Access icon

Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol

Hoor Jalo, Mattias Seth, Minna Pikkarainen et al
BMJ Open. Vol. 13 (5), p. e069660-
Journal article
2023
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Early Characterization of Stroke Using Video Analysis and Machine Learning

Hoor Jalo, Andrei Borg, Elsa Thoreström et al
Emerging Technologies in Healthcare and Medicine. Vol. 116 (2023), p. 74-84
Paper in proceeding

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