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 *

772 related articles for article (PubMed ID: 36356300)

  • 61. Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.
    Thakoor KA; Koorathota SC; Hood DC; Sajda P
    IEEE Trans Biomed Eng; 2021 Aug; 68(8):2456-2466. PubMed ID: 33290209
    [TBL] [Abstract][Full Text] [Related]  

  • 62. [Artificial Intelligence in Radiology - Definition, Potential and Challenges].
    Baessler B
    Praxis (Bern 1994); 2021 Jan; 110(1):48-53. PubMed ID: 33406927
    [TBL] [Abstract][Full Text] [Related]  

  • 63. OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.
    Prahs P; Radeck V; Mayer C; Cvetkov Y; Cvetkova N; Helbig H; Märker D
    Graefes Arch Clin Exp Ophthalmol; 2018 Jan; 256(1):91-98. PubMed ID: 29127485
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal.
    Pattathil N; Zhao JZL; Sam-Oyerinde O; Felfeli T
    BMJ Health Care Inform; 2023 Jul; 30(1):. PubMed ID: 37463773
    [TBL] [Abstract][Full Text] [Related]  

  • 65. The scope of artificial intelligence in retinopathy of prematurity (ROP) management.
    Maitra P; Shah PK; Campbell PJ; Rishi P
    Indian J Ophthalmol; 2024 Jul; 72(7):931-934. PubMed ID: 38454859
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy.
    Le D; Alam M; Yao CK; Lim JI; Hsieh YT; Chan RVP; Toslak D; Yao X
    Transl Vis Sci Technol; 2020 Jul; 9(2):35. PubMed ID: 32855839
    [TBL] [Abstract][Full Text] [Related]  

  • 67. [Potential of methods of artificial intelligence for quality assurance].
    Berens P; Waldstein SM; Ayhan MS; Kümmerle L; Agostini H; Stahl A; Ziemssen F
    Ophthalmologe; 2020 Apr; 117(4):320-325. PubMed ID: 32095839
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Intelligent imaging: Applications of machine learning and deep learning in radiology.
    Currie G; Rohren E
    Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():880-888. PubMed ID: 36514225
    [TBL] [Abstract][Full Text] [Related]  

  • 69. [Application of artificial intelligence in glaucoma. Part 2. Neural networks and machine learning in the monitoring and treatment of glaucoma].
    Kurysheva NI; Rodionova OY; Pomerantsev AL; Sharova GA
    Vestn Oftalmol; 2024; 140(4):80-85. PubMed ID: 39254394
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Artificial intelligence for retinopathy of prematurity.
    Gensure RH; Chiang MF; Campbell JP
    Curr Opin Ophthalmol; 2020 Sep; 31(5):312-317. PubMed ID: 32694266
    [TBL] [Abstract][Full Text] [Related]  

  • 71. [ARTIFICIAL INTELLIGENCE IN OPHTHALMOLOGY].
    Erdinest N; Ben Ephraim Noyman D; Lavy I; Berkow D; Pincovich S; London N; Shmueli O; Levinger N; Morad Y; Landau D; Levi Vineberg T
    Harefuah; 2024 Jan; 163(1):37-42. PubMed ID: 38297419
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Artificial intelligence 101 for veterinary diagnostic imaging.
    Hespel AM; Zhang Y; Basran PS
    Vet Radiol Ultrasound; 2022 Dec; 63 Suppl 1():817-827. PubMed ID: 36514230
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Artificial intelligence-assisted diagnosis of ocular surface diseases.
    Zhang Z; Wang Y; Zhang H; Samusak A; Rao H; Xiao C; Abula M; Cao Q; Dai Q
    Front Cell Dev Biol; 2023; 11():1133680. PubMed ID: 36875760
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism.
    Sun Y; Zhang H; Yao X
    J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32940026
    [TBL] [Abstract][Full Text] [Related]  

  • 75. The future application of artificial intelligence and telemedicine in the retina: A perspective.
    Wu CT; Lin TY; Lin CJ; Hwang DK
    Taiwan J Ophthalmol; 2023; 13(2):133-141. PubMed ID: 37484624
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Radiomics, machine learning, and artificial intelligence-what the neuroradiologist needs to know.
    Wagner MW; Namdar K; Biswas A; Monah S; Khalvati F; Ertl-Wagner BB
    Neuroradiology; 2021 Dec; 63(12):1957-1967. PubMed ID: 34537858
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review.
    Hashemian H; Peto T; Ambrósio R; Lengyel I; Kafieh R; Muhammed Noori A; Khorrami-Nejad M
    J Ophthalmic Vis Res; 2024; 19(3):354-367. PubMed ID: 39359529
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Medical data science in rhinology: Background and implications for clinicians.
    Jun YJ; Jung J; Lee HM
    Am J Otolaryngol; 2020; 41(6):102627. PubMed ID: 32682191
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Artificial Intelligence in Ophthalmology: Evolutions in Asia.
    Ruamviboonsuk P; Cheung CY; Zhang X; Raman R; Park SJ; Ting DSW
    Asia Pac J Ophthalmol (Phila); 2020; 9(2):78-84. PubMed ID: 32349114
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Recent Developments in Artificial Intelligence-Based Techniques for Prostate Cancer Detection: A Scoping Review.
    Shah U; Biswas MR; Alzubaidi MS; Ali H; Alam T; Househ M; Shah Z
    Stud Health Technol Inform; 2022 Jan; 289():268-271. PubMed ID: 35062144
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 39.