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 *

303 related articles for article (PubMed ID: 38611606)

  • 1. Artificial-Intelligence-Enhanced Analysis of In Vivo Confocal Microscopy in Corneal Diseases: A Review.
    Kryszan K; Wylęgała A; Kijonka M; Potrawa P; Walasz M; Wylęgała E; Orzechowska-Wylęgała B
    Diagnostics (Basel); 2024 Mar; 14(7):. PubMed ID: 38611606
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Role of artificial intelligence, machine learning and deep learning models in corneal disorders - A narrative review.
    Gurnani B; Kaur K; Lalgudi VG; Kundu G; Mimouni M; Liu H; Jhanji V; Prakash G; Roy AS; Shetty R; Gurav JS
    J Fr Ophtalmol; 2024 Sep; 47(7):104242. PubMed ID: 39013268
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence in corneal diseases: A narrative review.
    Nguyen T; Ong J; Masalkhi M; Waisberg E; Zaman N; Sarker P; Aman S; Lin H; Luo M; Ambrosio R; Machado AP; Ting DSJ; Mehta JS; Tavakkoli A; Lee AG
    Cont Lens Anterior Eye; 2024 Dec; 47(6):102284. PubMed ID: 39198101
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images.
    Essalat M; Abolhosseini M; Le TH; Moshtaghion SM; Kanavi MR
    Sci Rep; 2023 Jun; 13(1):8953. PubMed ID: 37268665
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accuracy of artificial intelligence model for infectious keratitis classification: a systematic review and meta-analysis.
    Sarayar R; Lestari YD; Setio AAA; Sitompul R
    Front Public Health; 2023; 11():1239231. PubMed ID: 38074720
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.
    Williams BM; Borroni D; Liu R; Zhao Y; Zhang J; Lim J; Ma B; Romano V; Qi H; Ferdousi M; Petropoulos IN; Ponirakis G; Kaye S; Malik RA; Alam U; Zheng Y
    Diabetologia; 2020 Feb; 63(2):419-430. PubMed ID: 31720728
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes.
    Preston FG; Meng Y; Burgess J; Ferdousi M; Azmi S; Petropoulos IN; Kaye S; Malik RA; Zheng Y; Alam U
    Diabetologia; 2022 Mar; 65(3):457-466. PubMed ID: 34806115
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using
    Xu F; Jiang L; He W; Huang G; Hong Y; Tang F; Lv J; Lin Y; Qin Y; Lan R; Pan X; Zeng S; Li M; Chen Q; Tang N
    Front Med (Lausanne); 2021; 8():797616. PubMed ID: 34970572
    [No Abstract]   [Full Text] [Related]  

  • 9. AI-Based Decision-Support System for Diagnosing Acanthamoeba Keratitis Using In Vivo Confocal Microscopy Images.
    Lincke A; Roth J; Macedo AF; Bergman P; Löwe W; Lagali NS
    Transl Vis Sci Technol; 2023 Nov; 12(11):29. PubMed ID: 38010282
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Potential applications of artificial intelligence in image analysis in cornea diseases: a review.
    Tey KY; Cheong EZK; Ang M
    Eye Vis (Lond); 2024 Mar; 11(1):10. PubMed ID: 38448961
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship.
    Alam U; Anson M; Meng Y; Preston F; Kirthi V; Jackson TL; Nderitu P; Cuthbertson DJ; Malik RA; Zheng Y; Petropoulos IN
    J Clin Med; 2022 Oct; 11(20):. PubMed ID: 36294519
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.
    McCarron ME; Weinberg RL; Izzi JM; Queen SE; Tarwater PM; Misra SL; Russakoff DB; Oakley JD; Mankowski JL
    Cornea; 2021 May; 40(5):635-642. PubMed ID: 33528225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Intelligence (AI)-Enhanced Detection of Diabetic Retinopathy From Fundus Images: The Current Landscape and Future Directions.
    Alsadoun L; Ali H; Mushtaq MM; Mushtaq M; Burhanuddin M; Anwar R; Liaqat M; Bokhari SFH; Hasan AH; Ahmed F
    Cureus; 2024 Aug; 16(8):e67844. PubMed ID: 39323686
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis.
    Muhammad D; Bendechache M
    Comput Struct Biotechnol J; 2024 Dec; 24():542-560. PubMed ID: 39252818
    [TBL] [Abstract][Full Text] [Related]  

  • 15. AI applications to medical images: From machine learning to deep learning.
    Castiglioni I; Rundo L; Codari M; Di Leo G; Salvatore C; Interlenghi M; Gallivanone F; Cozzi A; D'Amico NC; Sardanelli F
    Phys Med; 2021 Mar; 83():9-24. PubMed ID: 33662856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel artificial intelligence model for diagnosing Acanthamoeba keratitis through confocal microscopy.
    Shareef O; Soleimani M; Tu E; Jacobs DS; Ciolino JB; Rahdar A; Cheraqpour K; Ashraf M; Habib NB; Greenfield J; Yousefi S; Djalilian AR; Saeed HN
    Ocul Surf; 2024 Oct; 34():159-164. PubMed ID: 39084255
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification.
    Ghnemat R; Alodibat S; Abu Al-Haija Q
    J Imaging; 2023 Aug; 9(9):. PubMed ID: 37754941
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy images.
    Tang N; Huang G; Lei D; Jiang L; Chen Q; He W; Tang F; Hong Y; Lv J; Qin Y; Lin Y; Lan Q; Qin Y; Lan R; Pan X; Li M; Xu F; Lu P
    Int Ophthalmol; 2023 Jul; 43(7):2203-2214. PubMed ID: 36595127
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization.
    Papadimitroulas P; Brocki L; Christopher Chung N; Marchadour W; Vermet F; Gaubert L; Eleftheriadis V; Plachouris D; Visvikis D; Kagadis GC; Hatt M
    Phys Med; 2021 Mar; 83():108-121. PubMed ID: 33765601
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exploring explainable AI features in the vocal biomarkers of lung disease.
    Chen Z; Liang N; Li H; Zhang H; Li H; Yan L; Hu Z; Chen Y; Zhang Y; Wang Y; Ke D; Shi N
    Comput Biol Med; 2024 Sep; 179():108844. PubMed ID: 38981214
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.