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 *

176 related articles for article (PubMed ID: 36540177)

  • 1. Nuclear Cardiology Data Analyzed Using Machine Learning.
    Nakajima K; Maruyama K
    Ann Nucl Cardiol; 2022; 8(1):80-85. PubMed ID: 36540177
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies.
    Juarez-Orozco LE; Klén R; Niemi M; Ruijsink B; Daquarti G; van Es R; Benjamins JW; Yeung MW; van der Harst P; Knuuti J
    Curr Cardiol Rep; 2022 Apr; 24(4):307-316. PubMed ID: 35171443
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Applications of artificial intelligence and machine learning approaches in echocardiography.
    Nabi W; Bansal A; Xu B
    Echocardiography; 2021 Jun; 38(6):982-992. PubMed ID: 33982820
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.
    Wang H; Zu Q; Chen J; Yang Z; Ahmed MA
    Adv Ther; 2021 Oct; 38(10):5078-5086. PubMed ID: 34528221
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial Intelligence in Cardiovascular Medicine: Historical Overview, Current Status, and Future Directions.
    Krajcer Z
    Tex Heart Inst J; 2022 Mar; 49(2):. PubMed ID: 35481866
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Artificial Intelligence in Cardiology.
    Johnson KW; Torres Soto J; Glicksberg BS; Shameer K; Miotto R; Ali M; Ashley E; Dudley JT
    J Am Coll Cardiol; 2018 Jun; 71(23):2668-2679. PubMed ID: 29880128
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Machine learning in anesthesiology].
    Sassenscheidt J; Jungwirth B; Kubitz JC
    Anaesthesist; 2020 Aug; 69(8):535-543. PubMed ID: 32318789
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial Intelligence-Based Traditional Chinese Medicine Assistive Diagnostic System: Validation Study.
    Zhang H; Ni W; Li J; Zhang J
    JMIR Med Inform; 2020 Jun; 8(6):e17608. PubMed ID: 32538797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Technical and practical aspects of artificial intelligence in cardiology.
    Bohm A; Jajcay N
    Bratisl Lek Listy; 2022; 123(1):16-21. PubMed ID: 34967653
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Applications of Artificial Intelligence in Cardiology. The Future is Already Here.
    Dorado-Díaz PI; Sampedro-Gómez J; Vicente-Palacios V; Sánchez PL
    Rev Esp Cardiol (Engl Ed); 2019 Dec; 72(12):1065-1075. PubMed ID: 31611150
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure.
    Olsen CR; Mentz RJ; Anstrom KJ; Page D; Patel PA
    Am Heart J; 2020 Nov; 229():1-17. PubMed ID: 32905873
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.
    Rjoob K; Bond R; Finlay D; McGilligan V; Leslie SJ; Rababah A; Iftikhar A; Guldenring D; Knoery C; McShane A; Peace A; Macfarlane PW
    Artif Intell Med; 2022 Oct; 132():102381. PubMed ID: 36207087
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.
    Thomford NE; Bope CD; Agamah FE; Dzobo K; Owusu Ateko R; Chimusa E; Mazandu GK; Ntumba SB; Dandara C; Wonkam A
    OMICS; 2020 May; 24(5):264-277. PubMed ID: 31592719
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.
    Kresoja KP; Unterhuber M; Wachter R; Thiele H; Lurz P
    Basic Res Cardiol; 2023 Mar; 118(1):10. PubMed ID: 36939941
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods.
    Handelman GS; Kok HK; Chandra RV; Razavi AH; Huang S; Brooks M; Lee MJ; Asadi H
    AJR Am J Roentgenol; 2019 Jan; 212(1):38-43. PubMed ID: 30332290
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.
    Dilsizian ME; Siegel EL
    Curr Cardiol Rep; 2018 Oct; 20(12):139. PubMed ID: 30334108
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives.
    Seifert R; Weber M; Kocakavuk E; Rischpler C; Kersting D
    Semin Nucl Med; 2021 Mar; 51(2):170-177. PubMed ID: 33509373
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The emerging roles of machine learning in cardiovascular diseases: a narrative review.
    Chen L; Han Z; Wang J; Yang C
    Ann Transl Med; 2022 May; 10(10):611. PubMed ID: 35722382
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.