{"title":"人工智能在神经退行性疾病治疗中的应用关注阿尔茨海默病","authors":"Khazar Ghasempour Dabbaghi, Zahra Khosravirad, Sheida Jamalnia, Rahil GhorbaniNia, Fatemeh Mahmoudikohani, Habib Zakeri, Solmaz Khastehband","doi":"10.31661/gmj.v12i.3061","DOIUrl":null,"url":null,"abstract":"Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring the progression of neurodegenerative disorders. AI algorithms can analyze large amounts of data from various sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, Electroencephalography (EEG) signals, driving behaviors, etc. Alzheimer's disease as one of the most common neurodegenerative disorders. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring of disease progression, classifying, finding new biomarkers and drugs, and personalizing treatment plans of AD.","PeriodicalId":44017,"journal":{"name":"Galen Medical Journal","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Use of Artificial Intelligence in the Management of Neurodegenerative Disorders; Focus on Alzheimer's Disease\",\"authors\":\"Khazar Ghasempour Dabbaghi, Zahra Khosravirad, Sheida Jamalnia, Rahil GhorbaniNia, Fatemeh Mahmoudikohani, Habib Zakeri, Solmaz Khastehband\",\"doi\":\"10.31661/gmj.v12i.3061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring the progression of neurodegenerative disorders. AI algorithms can analyze large amounts of data from various sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, Electroencephalography (EEG) signals, driving behaviors, etc. Alzheimer's disease as one of the most common neurodegenerative disorders. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring of disease progression, classifying, finding new biomarkers and drugs, and personalizing treatment plans of AD.\",\"PeriodicalId\":44017,\"journal\":{\"name\":\"Galen Medical Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Galen Medical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31661/gmj.v12i.3061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Galen Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31661/gmj.v12i.3061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
The Use of Artificial Intelligence in the Management of Neurodegenerative Disorders; Focus on Alzheimer's Disease
Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring the progression of neurodegenerative disorders. AI algorithms can analyze large amounts of data from various sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, Electroencephalography (EEG) signals, driving behaviors, etc. Alzheimer's disease as one of the most common neurodegenerative disorders. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring of disease progression, classifying, finding new biomarkers and drugs, and personalizing treatment plans of AD.
期刊介绍：
GMJ is open access, peer-reviewed journal in English and supported by Noncommunicable Diseases (NCD) Research Center of Fasa University of Medical Sciences that publishing by Salvia Medical Sciences Ltd. GMJ will consider all types of the following scientific papers for publication: - Editorial’s choice - Original Researches - Review articles - Case reports - Case series - Letter (to editors, to authors, etc) - Short communications - Medical Idea
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