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 *

241 related articles for article (PubMed ID: 34674509)

  • 1. Applications of Machine Learning in Bone and Mineral Research.
    Kong SH; Shin CS
    Endocrinol Metab (Seoul); 2021 Oct; 36(5):928-937. PubMed ID: 34674509
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Solutions for Osteoporosis-A Review.
    Smets J; Shevroja E; Hügle T; Leslie WD; Hans D
    J Bone Miner Res; 2021 May; 36(5):833-851. PubMed ID: 33751686
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence in spine care: current applications and future utility.
    Hornung AL; Hornung CM; Mallow GM; Barajas JN; Rush A; Sayari AJ; Galbusera F; Wilke HJ; Colman M; Phillips FM; An HS; Samartzis D
    Eur Spine J; 2022 Aug; 31(8):2057-2081. PubMed ID: 35347425
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.
    Ferizi U; Besser H; Hysi P; Jacobs J; Rajapakse CS; Chen C; Saha PK; Honig S; Chang G
    J Magn Reson Imaging; 2019 Apr; 49(4):1029-1038. PubMed ID: 30252971
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
    Salman OH; Taha Z; Alsabah MQ; Hussein YS; Mohammed AS; Aal-Nouman M
    Comput Methods Programs Biomed; 2021 Sep; 209():106357. PubMed ID: 34438223
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New perspectives on cancer clinical research in the era of big data and machine learning.
    Li S; Yi H; Leng Q; Wu Y; Mao Y
    Surg Oncol; 2024 Feb; 52():102009. PubMed ID: 38215544
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence, osteoporosis and fragility fractures.
    Ferizi U; Honig S; Chang G
    Curr Opin Rheumatol; 2019 Jul; 31(4):368-375. PubMed ID: 31045948
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning Can Improve Clinical Detection of Low BMD: The DXA-HIP Study.
    E E; Wang T; Yang L; Dempsey M; Brennan A; Yu M; Chan WP; Whelan B; Silke C; O'Sullivan M; Rooney B; McPartland A; O'Malley G; Carey JJ
    J Clin Densitom; 2021; 24(4):527-537. PubMed ID: 33187864
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic Estimation of Osteoporotic Fracture Cases by Using Ensemble Learning Approaches.
    Kilic N; Hosgormez E
    J Med Syst; 2016 Mar; 40(3):61. PubMed ID: 26660692
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Involvement of Machine Learning Tools in Healthcare Decision Making.
    Jayatilake SMDAC; Ganegoda GU
    J Healthc Eng; 2021; 2021():6679512. PubMed ID: 33575021
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.
    Koçak B; Cuocolo R; dos Santos DP; Stanzione A; Ugga L
    Balkan Med J; 2023 Jan; 40(1):3-12. PubMed ID: 36578657
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches.
    Lin E; Lin CH; Lane HY
    Int J Mol Sci; 2020 Feb; 21(3):. PubMed ID: 32024055
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women.
    Shim JG; Kim DW; Ryu KH; Cho EA; Ahn JH; Kim JI; Lee SH
    Arch Osteoporos; 2020 Oct; 15(1):169. PubMed ID: 33097976
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Utilization of DXA Bone Mineral Densitometry in Ontario: An Evidence-Based Analysis.
    Medical Advisory Secretariat
    Ont Health Technol Assess Ser; 2006; 6(20):1-180. PubMed ID: 23074491
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systemic lupus in the era of machine learning medicine.
    Zhan K; Buhler KA; Chen IY; Fritzler MJ; Choi MY
    Lupus Sci Med; 2024 Mar; 11(1):. PubMed ID: 38443092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning.
    Yoo TK; Kim SK; Kim DW; Choi JY; Lee WH; Oh E; Park EC
    Yonsei Med J; 2013 Nov; 54(6):1321-30. PubMed ID: 24142634
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning, artificial intelligence and the prediction of dementia.
    Merkin A; Krishnamurthi R; Medvedev ON
    Curr Opin Psychiatry; 2022 Mar; 35(2):123-129. PubMed ID: 34861656
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities.
    Jacobs PG; Herrero P; Facchinetti A; Vehi J; Kovatchev B; Breton MD; Cinar A; Nikita KS; Doyle FJ; Bondia J; Battelino T; Castle JR; Zarkogianni K; Narayan R; Mosquera-Lopez C
    IEEE Rev Biomed Eng; 2024; 17():19-41. PubMed ID: 37943654
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Analysis of Pain Research through the Lens of Artificial Intelligence and Machine Learning.
    Nagireddi JN; Vyas AK; Sanapati MR; Soin A; Manchikanti L
    Pain Physician; 2022 Mar; 25(2):E211-E243. PubMed ID: 35322975
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Osteoporosis risk prediction using machine learning and conventional methods.
    Kim SK; Yoo TK; Oh E; Kim DW
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():188-91. PubMed ID: 24109656
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.