These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

236 related articles for article (PubMed ID: 35302538)

  • 1. Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.
    Chaurasia AK; Greatbatch CJ; Hewitt AW
    J Glaucoma; 2022 May; 31(5):285-299. PubMed ID: 35302538
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis.
    Din M; Agarwal S; Grzeda M; Wood DA; Modat M; Booth TC
    J Neurointerv Surg; 2023 Mar; 15(3):262-271. PubMed ID: 36375834
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence for the detection of glaucoma with SD-OCT images: a systematic review and Meta-analysis.
    Shi NN; Li J; Liu GH; Cao MF
    Int J Ophthalmol; 2024; 17(3):408-419. PubMed ID: 38721504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.
    Kraus M; Anteby R; Konen E; Eshed I; Klang E
    Eur Radiol; 2024 Jul; 34(7):4341-4351. PubMed ID: 38097728
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnostic Accuracy of Artificial Intelligence Compared to Biopsy in Detecting Early Oral Squamous Cell Carcinoma: A Systematic Review and Meta Analysis.
    Malhotra M; Shaw AK; Priyadarshini SR; Metha SS; Sahoo PK; Gachake A
    Asian Pac J Cancer Prev; 2024 Aug; 25(8):2593-2603. PubMed ID: 39205556
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic accuracy of artificial intelligence in detecting retinitis pigmentosa: A systematic review and meta-analysis.
    Musleh AM; AlRyalat SA; Abid MN; Salem Y; Hamila HM; Sallam AB
    Surv Ophthalmol; 2024; 69(3):411-417. PubMed ID: 38042377
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnostic Test Accuracy of artificial intelligence-assisted detection of acute coronary syndrome: A systematic review and meta-analysis.
    Chan PZ; Ramli MAIB; Chew HSJ
    Comput Biol Med; 2023 Dec; 167():107636. PubMed ID: 37925910
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Glaucoma diagnostics.
    Geimer SA
    Acta Ophthalmol; 2013 Feb; 91 Thesis 1():1-32. PubMed ID: 23384049
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnostic Accuracy of Artificial Intelligence-Based Automated Diabetic Retinopathy Screening in Real-World Settings: A Systematic Review and Meta-Analysis.
    Joseph S; Selvaraj J; Mani I; Kumaragurupari T; Shang X; Mudgil P; Ravilla T; He M
    Am J Ophthalmol; 2024 Jul; 263():214-230. PubMed ID: 38438095
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Protocol for a systematic review and meta-analysis of the diagnostic accuracy of artificial intelligence for grading of ophthalmology imaging modalities.
    Cao J; Chang-Kit B; Katsnelson G; Far PM; Uleryk E; Ogunbameru A; Miranda RN; Felfeli T
    Diagn Progn Res; 2022 Jul; 6(1):15. PubMed ID: 35831880
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence for detecting temporomandibular joint osteoarthritis using radiographic image data: A systematic review and meta-analysis of diagnostic test accuracy.
    Xu L; Chen J; Qiu K; Yang F; Wu W
    PLoS One; 2023; 18(7):e0288631. PubMed ID: 37450501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Performances of artificial intelligence in detecting pathologic myopia: a systematic review and meta-analysis.
    Zhang Y; Li Y; Liu J; Wang J; Li H; Zhang J; Yu X
    Eye (Lond); 2023 Dec; 37(17):3565-3573. PubMed ID: 37117783
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development of an artificial intelligence system to classify pathology and clinical features on retinal fundus images.
    Stevenson CH; Hong SC; Ogbuehi KC
    Clin Exp Ophthalmol; 2019 May; 47(4):484-489. PubMed ID: 30370587
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning algorithms for detection of diabetic macular edema in OCT images: A systematic review and meta-analysis.
    Li HY; Wang DX; Dong L; Wei WB
    Eur J Ophthalmol; 2023 Jan; 33(1):278-290. PubMed ID: 35473414
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optic nerve head and fibre layer imaging for diagnosing glaucoma.
    Michelessi M; Lucenteforte E; Oddone F; Brazzelli M; Parravano M; Franchi S; Ng SM; Virgili G
    Cochrane Database Syst Rev; 2015 Nov; 2015(11):CD008803. PubMed ID: 26618332
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Artificial intelligence and machine learning applications in urinary tract infections identification and prediction: a systematic review and meta-analysis.
    Shen L; An J; Wang N; Wu J; Yao J; Gao Y
    World J Urol; 2024 Aug; 42(1):464. PubMed ID: 39088072
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.