THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE
Background: Application of Artificial Intelligence (AI) in radiology is named automatic image interpretation of neuroimaging stroke. It takes a short time to minimize the patient's brain damage. Purpose: Determine the role of AI in ischemic brain stroke MRI examination and find out the advantag...
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| Format: | Article |
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Universitas Airlangga
2024-03-01
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| Series: | Journal of Vocational Health Studies |
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| Online Access: | https://e-journal.unair.ac.id/JVHS/article/view/40832 |
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| author | Oktaviani Aulia WMS Emi Murniati Agustina Dwi Prastanti |
| author_facet | Oktaviani Aulia WMS Emi Murniati Agustina Dwi Prastanti |
| author_sort | Oktaviani Aulia WMS |
| collection | DOAJ |
| description | Background: Application of Artificial Intelligence (AI) in radiology is named automatic image interpretation of neuroimaging stroke. It takes a short time to minimize the patient's brain damage. Purpose: Determine the role of AI in ischemic brain stroke MRI examination and find out the advantages and disadvantages of applying AI to ischemic brain stroke MRI examination. Review: It was a descriptive and qualitative study with a literature review approach. The selection of articles used the ScienceDirect, Scopus, ProQuest, PubMed, and Publish or Perish databases. The inclusion criteria included full articles, with the topic of AI on ischemic brain stroke MRI examinations published in the 2017 – 2022 range, articles published by English-language international journals with a classification of Q1 – Q3, and having DOI. Seven relevant pieces of article were obtained, then descriptive analysis was carried out by comparing and presenting the articles descriptively in tabular form. Result: The role of AI in MRI brain examination with clinical ischemic stroke, namely its role in automatic lesion segmentation, Time Since Stroke (TSS) classification, and infarct volume prediction. The advantages of AI included short image processing times and accurate results. The disadvantages of AI tended to decrease performance in small lesions, a large number of patients, limited data, and false positive results. The value of the Dice Score Coefficient (DSC) (0.53 – 0.86) was already high even though it had not reached 1 because it depended on the strength of the data used. Conclusion: The role of AI in MRI imaging of ischemic brain stroke helps in the diagnosis and prognosis of ischemic stroke patients. AI in stroke neuroimaging has advantages in time effectiveness and disadvantages in data limitations. |
| format | Article |
| id | doaj-art-150c6e5f3e294afa8f34dc1ff2a5c695 |
| institution | Kabale University |
| issn | 2580-7161 2580-717X |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Journal of Vocational Health Studies |
| spelling | doaj-art-150c6e5f3e294afa8f34dc1ff2a5c6952025-02-03T06:16:47ZengUniversitas AirlanggaJournal of Vocational Health Studies2580-71612580-717X2024-03-017320621710.20473/jvhs.V7.I3.2024.206-21738903THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKEOktaviani Aulia WMS0https://orcid.org/0009-0003-2364-2663Emi Murniati1https://orcid.org/0009-0002-0225-9932Agustina Dwi Prastanti2https://orcid.org/0000-0002-3306-3871Keluarga Sehat III Hospital, Semarang, IndonesiaRadiodiagnostic and Radiotherapy Technique Department, Health Polytechnic Ministry of Health Semarang, IndonesiaRadiodiagnostic and Radiotherapy Technique Department, Health Polytechnic Ministry of Health Semarang, IndonesiaBackground: Application of Artificial Intelligence (AI) in radiology is named automatic image interpretation of neuroimaging stroke. It takes a short time to minimize the patient's brain damage. Purpose: Determine the role of AI in ischemic brain stroke MRI examination and find out the advantages and disadvantages of applying AI to ischemic brain stroke MRI examination. Review: It was a descriptive and qualitative study with a literature review approach. The selection of articles used the ScienceDirect, Scopus, ProQuest, PubMed, and Publish or Perish databases. The inclusion criteria included full articles, with the topic of AI on ischemic brain stroke MRI examinations published in the 2017 – 2022 range, articles published by English-language international journals with a classification of Q1 – Q3, and having DOI. Seven relevant pieces of article were obtained, then descriptive analysis was carried out by comparing and presenting the articles descriptively in tabular form. Result: The role of AI in MRI brain examination with clinical ischemic stroke, namely its role in automatic lesion segmentation, Time Since Stroke (TSS) classification, and infarct volume prediction. The advantages of AI included short image processing times and accurate results. The disadvantages of AI tended to decrease performance in small lesions, a large number of patients, limited data, and false positive results. The value of the Dice Score Coefficient (DSC) (0.53 – 0.86) was already high even though it had not reached 1 because it depended on the strength of the data used. Conclusion: The role of AI in MRI imaging of ischemic brain stroke helps in the diagnosis and prognosis of ischemic stroke patients. AI in stroke neuroimaging has advantages in time effectiveness and disadvantages in data limitations.https://e-journal.unair.ac.id/JVHS/article/view/40832artificial intelligencemribrain ischemic stroke |
| spellingShingle | Oktaviani Aulia WMS Emi Murniati Agustina Dwi Prastanti THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE Journal of Vocational Health Studies artificial intelligence mri brain ischemic stroke |
| title | THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE |
| title_full | THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE |
| title_fullStr | THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE |
| title_full_unstemmed | THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE |
| title_short | THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE |
| title_sort | role of artificial intelligence ai on mri brain examination with clinical ischemic stroke |
| topic | artificial intelligence mri brain ischemic stroke |
| url | https://e-journal.unair.ac.id/JVHS/article/view/40832 |
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