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The system utilizes traditional machine learning and advanced deep learning techniques to tackle dataset imbalances and variability in stroke presentations. Our approach involves rigorous data preprocessing, feature engineering, and ensemble techniques to optimize the predictive performance. Comprehensive evaluations demonstrate that gradient-boosted models outperform in accuracy, while CNNs enhance stroke detection rates. Calibration and threshold optimization are utilized to align predictions with clinical requirements, ensuring diagnostic reliability. This multi-modal framework highlights the capacity of AI to accelerate stroke diagnosis and aid clinical decision making, ultimately enhancing patient outcomes in critical care.<\/jats:p>","DOI":"10.3390\/fi17050204","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T07:44:23Z","timestamp":1746171863000},"page":"204","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8678-6101","authenticated-orcid":false,"given":"Marta","family":"Narigina","sequence":"first","affiliation":[{"name":"Institute of Information Technology, Riga Technical University, 6A Kipsalas Street, LV-1048 Riga, Latvia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6296-7866","authenticated-orcid":false,"given":"Agris","family":"Vindecs","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, Riga Technical University, 6A Kipsalas Street, LV-1048 Riga, Latvia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7535-4693","authenticated-orcid":false,"given":"Du\u0161anka","family":"Bo\u0161kovi\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne bb, 71000 Sarajevo, Bosnia and Herzegovina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuri","family":"Merkuryev","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, Riga Technical University, 6A Kipsalas Street, LV-1048 Riga, Latvia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1645-2741","authenticated-orcid":false,"given":"Andrejs","family":"Romanovs","sequence":"additional","affiliation":[{"name":"Institute of Information Technology, Riga Technical University, 6A Kipsalas Street, LV-1048 Riga, Latvia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Subudhi, A., Dash, P., Mohapatra, M., Tan, R.-S., Acharya, U.R., and Sabut, S. 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