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 *

484 related articles for article (PubMed ID: 30256722)

  • 1. Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.
    Dankwa-Mullan I; Rivo M; Sepulveda M; Park Y; Snowdon J; Rhee K
    Popul Health Manag; 2019 Jun; 22(3):229-242. PubMed ID: 30256722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence: The Future for Diabetes Care.
    Ellahham S
    Am J Med; 2020 Aug; 133(8):895-900. PubMed ID: 32325045
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.
    Pham Q; Gamble A; Hearn J; Cafazzo JA
    J Med Internet Res; 2021 Feb; 23(2):e22320. PubMed ID: 33565982
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.
    Bhatt P; Liu J; Gong Y; Wang J; Guo Y
    JMIR Mhealth Uhealth; 2022 Jun; 10(6):e35053. PubMed ID: 35679107
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.
    Contreras I; Vehi J
    J Med Internet Res; 2018 May; 20(5):e10775. PubMed ID: 29848472
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence in Current Diabetes Management and Prediction.
    Nomura A; Noguchi M; Kometani M; Furukawa K; Yoneda T
    Curr Diab Rep; 2021 Dec; 21(12):61. PubMed ID: 34902070
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Applications in Otology: A State of the Art Review.
    You E; Lin V; Mijovic T; Eskander A; Crowson MG
    Otolaryngol Head Neck Surg; 2020 Dec; 163(6):1123-1133. PubMed ID: 32513061
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence Methodologies and Their Application to Diabetes.
    Rigla M; García-Sáez G; Pons B; Hernando ME
    J Diabetes Sci Technol; 2018 Mar; 12(2):303-310. PubMed ID: 28539087
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review.
    Ahmed A; Aziz S; Abd-Alrazaq A; Farooq F; Househ M; Sheikh J
    J Med Internet Res; 2023 Mar; 25():e40259. PubMed ID: 36917147
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diabetes and artificial intelligence beyond the closed loop: a review of the landscape, promise and challenges.
    Mackenzie SC; Sainsbury CAR; Wake DJ
    Diabetologia; 2024 Feb; 67(2):223-235. PubMed ID: 37979006
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diabetes: a review of its pathophysiology, and advanced methods of mitigation.
    Gupta S; Sharma N; Arora S; Verma S
    Curr Med Res Opin; 2024 May; 40(5):773-780. PubMed ID: 38512073
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of Artificial Intelligence in Diabetes Education and Management: Present Status and Promising Prospect.
    Li J; Huang J; Zheng L; Li X
    Front Public Health; 2020; 8():173. PubMed ID: 32548087
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Humanitarian health computing using artificial intelligence and social media: A narrative literature review.
    Fernandez-Luque L; Imran M
    Int J Med Inform; 2018 Jun; 114():136-142. PubMed ID: 29395987
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Intelligent Future for Medical Imaging: A Market Outlook on Artificial Intelligence for Medical Imaging.
    Alexander A; Jiang A; Ferreira C; Zurkiya D
    J Am Coll Radiol; 2020 Jan; 17(1 Pt B):165-170. PubMed ID: 31918875
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence in Efficient Diabetes Care.
    Khodve GB; Banerjee S
    Curr Diabetes Rev; 2023; 19(9):e050922208561. PubMed ID: 36065921
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial intelligence applications in the intensive care unit.
    Hanson CW; Marshall BE
    Crit Care Med; 2001 Feb; 29(2):427-35. PubMed ID: 11269246
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning and Smart Devices for Diabetes Management: Systematic Review.
    Makroum MA; Adda M; Bouzouane A; Ibrahim H
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270989
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence in dentistry: current applications and future perspectives.
    Chen YW; Stanley K; Att W
    Quintessence Int; 2020; 51(3):248-257. PubMed ID: 32020135
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management.
    Broome DT; Hilton CB; Mehta N
    Curr Diab Rep; 2020 Feb; 20(2):5. PubMed ID: 32008107
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP
    Vu GT; Tran BX; McIntyre RS; Pham HQ; Phan HT; Ha GH; Gwee KK; Latkin CA; Ho RCM; Ho CSH
    Int J Environ Res Public Health; 2020 Mar; 17(6):. PubMed ID: 32192211
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.