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A multisource analysis dataset consisting of neuro\u2010images and speech features was utilized to train and evaluate various ML classifiers, such as\n                    <jats:italic>K<\/jats:italic>\n                    \u2010nearest neighbors (KNN), Support Vector Machines, Random Forest, Naive Bayes, Decision Trees, XGBoost, and ADABoost. Performance assessment was based on metrics like accuracy, precision, recall,\n                    <jats:italic>F<\/jats:italic>\n                    1 score, and AUC\u2013ROC. Among all models, KNN demonstrated the highest diagnostic accuracy and overall performance, with an accuracy of 92.8% and an\n                    <jats:italic>F<\/jats:italic>\n                    1 score of 0.953. The results suggest that KNN is particularly well\u2010suited for classifying neurological conditions using integrated biomedical data. Although these findings highlight the promise of artificial intelligence (AI)\u2010driven approaches in neurological diagnostics, further validation with diverse datasets is recommended to improve generalizability and clinical relevance.\n                  <\/jats:p>","DOI":"10.1002\/bab.70169","type":"journal-article","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T07:11:00Z","timestamp":1775027460000},"page":"2248-2258","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["AI\u2010Driven Multimodal Analysis of Neuroimaging and Speech Data for Diagnosis of Alzheimer's, Parkinson's, and Epilepsy"],"prefix":"10.1002","volume":"73","author":[{"given":"Poorna","family":"Verma","sequence":"first","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tanvi","family":"Dhamdhere","sequence":"additional","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aqsa","family":"Shaikh","sequence":"additional","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harsh","family":"Saxena","sequence":"additional","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sagarika","family":"Saha","sequence":"additional","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanket","family":"Bapat","sequence":"additional","affiliation":[{"name":"School of Bioengineering Science &amp; Research MIT Art, Design and Technology University  Pune Maharashtra India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"crossref","unstructured":"X.Zhang W.Li W.Shen L.Zhang X.Pu andL.Chen \u201cAutomatic Identification of Alzheimer's Disease and Epilepsy Based on MRI \u201d in2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)(IEEE 2019) https:\/\/doi.org\/10.1109\/ICTAI.2019.00091.","DOI":"10.1109\/ICTAI.2019.00091"},{"issue":"1","key":"e_1_2_7_3_1","first-page":"51","article-title":"Medical Image Segmentation to Diagnosis Alzheimer Disease Using Neural Networks","volume":"39","author":"Anitha R.","year":"2016","journal-title":"International Journal of Emerging Trends & Technology in Computer Science"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12264\u2010012\u20101050\u2010z"},{"issue":"3","key":"e_1_2_7_5_1","first-page":"249","article-title":"Current Trends in Etiology, Prognosis and Therapeutic Aspects of Parkinson's Disease: A Review","volume":"88","author":"Jagadeesan A. 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