TABLE V.
Anatomical information: details on the clinical aim, type of data, dataset, AI method, benchmark measure, and results.
| First author (year of publication) | Clinical aim | Pathology/anatomical area | Type of data | Dataset | AI method(s) | Benchmark measure | Results |
|---|---|---|---|---|---|---|---|
| Anatomical information | |||||||
| Pang (2019)69 | Classification of various brain disorders | Neurological disorders | CT MRI | … | CNN SVM RF | Acc | … |
| Talo (2019)36 | Classification of various brain disorders | Neurological disorders | MRI-T2WI | … | CNN | Acc | … |
| Spiteri (2019)62 | Cerebellar mutism syndrome identification | Neurological disorders | MRI | 40 | SVM | AUC ROC | … |
| Squarcina (2019)190 | Bipolar disorder classification | Neurological disorders | MRI-T1WI | 75 | Graph-based semisupervision | Acc Sp Se AUC | … |
| Ramasubbu (2019)37 | Depression Disorder classification | Neurological disorders | MRI-T1WI clinical | 44 | SVM | Acc Sp Se | … |
| Zhou (2019)70 | AD vs MCI classification | Alzheimer's disease | MRI PET Gene sequence | 805 | DNN | Acc | … |
| Basaia (2019)191 | AD vs MCI classification | Alzheimer's disease | MRI-T1WI | 1409 | CNN | Acc | … |
| Spasov (2019)42 | AD vs MCI classification | Alzheimer's disease | MRI-T1WI | 785 | CNN | Acc AUC | … |
| Wang (2019)68 | AD vs MCI classification | Alzheimer's disease | MRI-T1WI | 624 | CNN | Acc Pr Rec DSI | … |
| Mehdipour (2019)192 | AD progression modeling | Alzheimer's disease | MRI-T1WI | 742 | LSTM | AUC ROC | … |
| Bohle (2019)43 | AD classification | Alzheimer's disease | MRI-T1WI | 344 | CNN | Acc | … |
| Martinez-Murcia (2020)83 | AD diagnosis | Alzheimer's disease | MRI-MRI-T1WIWI | 479 | CNN SVM | Se Sp Acc DSI | … |
| Raza (2019)44 | AD diagnosis | Alzheimer's disease | MRI | 432 | CNN SVM | Acc Rec Pr Se Sp | … |
| Wang (2019)66 | MCI vs AD classification | Alzheimer's disease | MRI-T1WI | 624 | CNN | Acc Pr Rec DSI | … |
| Yamashita (2019)60 | AD diagnosis | Alzheimer's disease | PET MRI | 507 | SVM | Acc Pr Rec Sp ROC | … |
| Benyoussef (2019)45 | AD diagnosis | Alzheimer's disease | MRI | 416 | CNN KNN | … | … |
| Forouzannezhad (2019)41 | MCI diagnosis | Alzheimer's disease | MRI PET Clinical | … | CNN | Acc Sp Se | … |
| Jabason (2019)46 | AD diagnosis | Alzheimer's disease | MRI-T1WI | … | CNN | Acc Se Sp | … |
| Khan (2019)72 | AD diagnosis | Alzheimer's disease | MRI | … | CNN | Acc Pr Rec DSI | … |
| Punjabi (2019)47 | AD classification | Alzheimer's disease | MRI-T1WI PET | 723 | CNN | Acc | … |
| Kim (2019)48 | AD vs dementia classification | Alzheimer's disease | MRI-T1WI | 339 | LDA | Acc Sp Se AUC | … |
| Sato (2019)56 | AD classification | Alzheimer's disease | PET | 379 | CNN | AUC ROC | … |
| Eitel (2019)79 | MS diagnosis | MS | MRI-T2WI | 147 | CNN | Acc AUC | … |
| Mato-Abad (2019)49 | MS classification | MS | DWI | 34 | Naive Bayes DNN | AUC ROC | … |
| Ebdrup (2019)65 | Diagnosis of Schizophrenia | Schizophrenia | MRI EHR | 104 | SVM RF DT | Acc | … |
| Talpalaru (2019)50 | Schizophrenia identification | Schizophrenia | MRI-T1WI | 167 | Logistic regression RF SVM | ROC AUC | … |
| Kniep (2019)63 | Metastatic tumor type classification | Brain tumor | MRI-T1WI MRI-FLAIR | 189 | RF | Acc AUC | … |
| Kunimatsu (2019)58 | Tumor type classification | Brain tumor | MRI-T1WI | 76 | SVM | Se Sp AUC | … |
| Wu (2019)64 | Tumor type classification | Brain tumor | MRI | 126 | RF | Acc AUC | … |
| Kebir (2019)57 | Tumor type classification | Brain tumor | MRI PET | 39 | SVM | ROC AUC | … |
| Swati (2019)71 | Tumor type classification | Brain tumor | MRI | 233 | CNN | Acc Pr Rec Sp DSI | … |
| Jeong (2019)39 | Tumor type classification | Brain tumor | MRI-T2WI MRI-FLAIR | 25 | RF | Acc AUC | … |
| Pan (2019)51 | Tumor mutation prediction | Brain tumor | MRI-T1WI MRI-T2WI | 151 | RF | Acc AUC | … |
| Sultan (2019)38 | Tumor type classification | Brain tumor | MRI-T1WI | 233 + 73 | CNN | Acc Pr Se Sp | … |
| Ozyurt (2020)82 | Brain tumor detection | Brain tumor | MRI-T1WI | 500 | CNN | Acc AUC ROC | … |
| Ahammed (2019)40 | Tumor grade identification | Brain tumor | MRI-T2WI | 20 | CNN | Acc Pr Rec DSI Se Sp | … |
| Wang (2019)80 | Diagnosis of liver tumor | Brain tumor | MRI | 334 | CNN | PPV Se Pr | |
| … | Rec | ||||||
| Shrot (2019)61 | Tumor type classification | Brain tumor | MRI DTI | 141 | SVM | Acc Sp Se | … |
| Rehman (2019)73 | Tumor type classification | Brain tumor | MRI | 233 | CNN SVM | Acc Pr Se Sp | … |
| Tian (2019)52 | Glioblastoma vs anaplastic astrocytoma classification | Brain tumor | MRI-T1WI | 123 | LDA | Se Sp AUC | … |
| Ortiz-Ramon (2019)54 | Ischemic stroke lesion identification | Brain lesions | MRI-T1WI MRI-T2WI MRI-FLAIR | 100 | RF SVM | AUC | … |
| Lau (2019)55 | WM hypertensity detection | Brain lesions | MRI-T1WI MRI-T2WI MRI-FLAIR | 180 | DNN | Se Sp AUC | … |
| Kim (2019)138 | Ischemic stroke lesion identification | Brain lesions | EHR | … | DT | Acc Pr Rec DSI | … |
| Shen (2019)133 | Parkinson's disease diagnosis | Parkinson's disease | PET | 350 | Deep Belief network | Acc Se Sp | … |
| Lee (2019)78 | Hemorrhage detection | Cerebral artery | CT | 196 | CNN | Se Sp AUC | … |
| Ker (2019)67 | Brain hemorrhage detection | Cerebral artery | CT | 399 | CNN | DSI | … |
| Dawud (2019)75 | Hemorrhage classification | Cerebral artery | CT | … | CNN SVM | Acc | … |
| Liu (2019)112 | Cerebral microbleed detection | Cerebral artery | MRI | 255 | CNN | AUC ROC | … |
| Gunter (2019)59 | DESH detection | Other | MRI-T1WI | 1576 | SVM | AUC ROC | … |
| Xin (2019)113 | Gender identification | Other | Diffusion MR | 1065 | CNN | Acc | … |