280 related articles for article (PubMed ID: 35180619)
1. Artificial intelligence in the diagnosis of multiple sclerosis: A systematic review.
Nabizadeh F; Masrouri S; Ramezannezhad E; Ghaderi A; Sharafi AM; Soraneh S; Naser Moghadasi A
Mult Scler Relat Disord; 2022 Mar; 59():103673. PubMed ID: 35180619
[TBL] [Abstract][Full Text] [Related]
2. Diagnostic performance of artificial intelligence in multiple sclerosis: a systematic review and meta-analysis.
Nabizadeh F; Ramezannezhad E; Kargar A; Sharafi AM; Ghaderi A
Neurol Sci; 2023 Feb; 44(2):499-517. PubMed ID: 36303065
[TBL] [Abstract][Full Text] [Related]
3. The diagnostic performance of AI-based algorithms to discriminate between NMOSD and MS using MRI features: A systematic review and meta-analysis.
Etemadifar M; Norouzi M; Alaei SA; Karimi R; Salari M
Mult Scler Relat Disord; 2024 Jul; 87():105682. PubMed ID: 38781885
[TBL] [Abstract][Full Text] [Related]
4. The emerging role of artificial intelligence in multiple sclerosis imaging.
Afzal HMR; Luo S; Ramadan S; Lechner-Scott J
Mult Scler; 2022 May; 28(6):849-858. PubMed ID: 33112207
[TBL] [Abstract][Full Text] [Related]
5. Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.
Shoeibi A; Khodatars M; Jafari M; Moridian P; Rezaei M; Alizadehsani R; Khozeimeh F; Gorriz JM; Heras J; Panahiazar M; Nahavandi S; Acharya UR
Comput Biol Med; 2021 Sep; 136():104697. PubMed ID: 34358994
[TBL] [Abstract][Full Text] [Related]
6. Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review.
Velazquez-Diaz D; Arco JE; Ortiz A; Pérez-Cabezas V; Lucena-Anton D; Moral-Munoz JA; Galán-Mercant A
J Med Internet Res; 2023 Oct; 25():e47346. PubMed ID: 37862082
[TBL] [Abstract][Full Text] [Related]
7. Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls.
Farabi Maleki S; Yousefi M; Afshar S; Pedrammehr S; Lim CP; Jafarizadeh A; Asadi H
Semin Ophthalmol; 2024 May; 39(4):271-288. PubMed ID: 38088176
[TBL] [Abstract][Full Text] [Related]
8. Role of artificial intelligence in MS clinical practice.
Bonacchi R; Filippi M; Rocca MA
Neuroimage Clin; 2022; 35():103065. PubMed ID: 35661470
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.
Collorone S; Coll L; Lorenzi M; Lladó X; Sastre-Garriga J; Tintoré M; Montalban X; Rovira À; Pareto D; Tur C
Mult Scler; 2024 Jun; 30(7):767-784. PubMed ID: 38738527
[TBL] [Abstract][Full Text] [Related]
10. AI in Radiology: Where are we today in Multiple Sclerosis Imaging?
Eichinger P; Zimmer C; Wiestler B
Rofo; 2020 Sep; 192(9):847-853. PubMed ID: 32643769
[TBL] [Abstract][Full Text] [Related]
11. Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis.
Xu HL; Gong TT; Liu FH; Chen HY; Xiao Q; Hou Y; Huang Y; Sun HZ; Shi Y; Gao S; Lou Y; Chang Q; Zhao YH; Gao QL; Wu QJ
EClinicalMedicine; 2022 Nov; 53():101662. PubMed ID: 36147628
[TBL] [Abstract][Full Text] [Related]
12. Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review.
Joudar SS; Albahri AS; Hamid RA
Comput Biol Med; 2022 Jul; 146():105553. PubMed ID: 35561591
[TBL] [Abstract][Full Text] [Related]
13. Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.
Popa SL; Ismaiel A; Abenavoli L; Padureanu AM; Dita MO; Bolchis R; Munteanu MA; Brata VD; Pop C; Bosneag A; Dumitrascu DI; Barsan M; David L
Medicina (Kaunas); 2023 May; 59(5):. PubMed ID: 37241224
[No Abstract] [Full Text] [Related]
14. The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews.
Silva HECD; Santos GNM; Leite AF; Mesquita CRM; Figueiredo PTS; Stefani CM; de Melo NS
PLoS One; 2023; 18(10):e0292063. PubMed ID: 37796946
[TBL] [Abstract][Full Text] [Related]
15. Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review.
Cha Y; Kim JT; Park CH; Kim JW; Lee SY; Yoo JI
J Orthop Surg Res; 2022 Dec; 17(1):520. PubMed ID: 36456982
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis.
Thong LT; Chou HS; Chew HSJ; Lau Y
Lung Cancer; 2023 Feb; 176():4-13. PubMed ID: 36566582
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy.
Avanzo M; Porzio M; Lorenzon L; Milan L; Sghedoni R; Russo G; Massafra R; Fanizzi A; Barucci A; Ardu V; Branchini M; Giannelli M; Gallio E; Cilla S; Tangaro S; Lombardi A; Pirrone G; De Martin E; Giuliano A; Belmonte G; Russo S; Rampado O; Mettivier G
Phys Med; 2021 Mar; 83():221-241. PubMed ID: 33951590
[TBL] [Abstract][Full Text] [Related]
18. Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
Mursch-Edlmayr AS; Ng WS; Diniz-Filho A; Sousa DC; Arnold L; Schlenker MB; Duenas-Angeles K; Keane PA; Crowston JG; Jayaram H
Transl Vis Sci Technol; 2020 Oct; 9(2):55. PubMed ID: 33117612
[TBL] [Abstract][Full Text] [Related]
19. Efficacy of artificial intelligence in the detection of periodontal bone loss and classification of periodontal diseases: A systematic review.
Patil S; Joda T; Soffe B; Awan KH; Fageeh HN; Tovani-Palone MR; Licari FW
J Am Dent Assoc; 2023 Sep; 154(9):795-804.e1. PubMed ID: 37452813
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence in gynecologic cancers: Current status and future challenges - A systematic review.
Akazawa M; Hashimoto K
Artif Intell Med; 2021 Oct; 120():102164. PubMed ID: 34629152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]