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 *

283 related articles for article (PubMed ID: 32704413)

  • 21. Neurology education in the era of artificial intelligence.
    Kedar S; Khazanchi D
    Curr Opin Neurol; 2023 Feb; 36(1):51-58. PubMed ID: 36367213
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.
    Kang J; Schwartz R; Flickinger J; Beriwal S
    Int J Radiat Oncol Biol Phys; 2015 Dec; 93(5):1127-35. PubMed ID: 26581149
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Machine learning in medicine: It has arrived, let's embrace it.
    Pappada SM
    J Card Surg; 2021 Nov; 36(11):4121-4124. PubMed ID: 34392567
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Perspectives: A surgeon's guide to machine learning.
    Kuo RYL; Harrison CJ; Jones BE; Geoghegan L; Furniss D
    Int J Surg; 2021 Oct; 94():106133. PubMed ID: 34597822
    [TBL] [Abstract][Full Text] [Related]  

  • 26. [Artificial intelligence: An introduction for clinicians].
    Briganti G
    Rev Mal Respir; 2023 Apr; 40(4):308-313. PubMed ID: 36894376
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization.
    Xiouras C; Cameli F; Quilló GL; Kavousanakis ME; Vlachos DG; Stefanidis GD
    Chem Rev; 2022 Aug; 122(15):13006-13042. PubMed ID: 35759465
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Guide for the Application of Statistics in Biomedical Studies Concerning Machine Learning and Artificial Intelligence.
    Polce EM; Kunze KN
    Arthroscopy; 2023 Feb; 39(2):151-158. PubMed ID: 35561871
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Insights and trends review: artificial intelligence in hand surgery.
    Miller R; Farnebo S; Horwitz MD
    J Hand Surg Eur Vol; 2023 May; 48(5):396-403. PubMed ID: 36756841
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Artificial Intelligence and Machine Learning in Prediction of Surgical Complications: Current State, Applications, and Implications.
    Hassan AM; Rajesh A; Asaad M; Nelson JA; Coert JH; Mehrara BJ; Butler CE
    Am Surg; 2023 Jan; 89(1):25-30. PubMed ID: 35562124
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.
    Alanazi HO; Abdullah AH; Qureshi KN
    J Med Syst; 2017 Apr; 41(4):69. PubMed ID: 28285459
    [TBL] [Abstract][Full Text] [Related]  

  • 32. How Bioethics Can Shape Artificial Intelligence and Machine Learning.
    Nabi J
    Hastings Cent Rep; 2018 Sep; 48(5):10-13. PubMed ID: 30311202
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Advancing primary care with Artificial Intelligence and Machine Learning.
    Yang Z; Silcox C; Sendak M; Rose S; Rehkopf D; Phillips R; Peterson L; Marino M; Maier J; Lin S; Liaw W; Kakadiaris IA; Heintzman J; Chu I; Bazemore A
    Healthc (Amst); 2022 Mar; 10(1):100594. PubMed ID: 34954571
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Artificial intelligence and machine learning overview in pathology & laboratory medicine: A general review of data preprocessing and basic supervised concepts.
    Albahra S; Gorbett T; Robertson S; D'Aleo G; Kumar SVS; Ockunzzi S; Lallo D; Hu B; Rashidi HH
    Semin Diagn Pathol; 2023 Mar; 40(2):71-87. PubMed ID: 36870825
    [TBL] [Abstract][Full Text] [Related]  

  • 35. The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review.
    Zrubka Z; Kertész G; Gulácsi L; Czere J; Hölgyesi Á; Nezhad HM; Mosavi A; Kovács L; Butte AJ; Péntek M
    J Med Internet Res; 2024 Jan; 26():e47430. PubMed ID: 38241075
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.
    Al-Mufti F; Kim M; Dodson V; Sursal T; Bowers C; Cole C; Scurlock C; Becker C; Gandhi C; Mayer SA
    Curr Neurol Neurosci Rep; 2019 Nov; 19(11):89. PubMed ID: 31720867
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Role of Machine Learning and Artificial Intelligence in Interventional Oncology.
    D'Amore B; Smolinski-Zhao S; Daye D; Uppot RN
    Curr Oncol Rep; 2021 Apr; 23(6):70. PubMed ID: 33880651
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Machine Learning Principles for Radiology Investigators.
    Borstelmann SM
    Acad Radiol; 2020 Jan; 27(1):13-25. PubMed ID: 31818379
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Clinical Artificial Intelligence: Design Principles and Fallacies.
    McDermott MBA; Nestor B; Szolovits P
    Clin Lab Med; 2023 Mar; 43(1):29-46. PubMed ID: 36764807
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.