BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 34374441)

  • 1. A riddle, wrapped in a mystery, inside an enigma: How semantic black boxes and opaque artificial intelligence confuse medical decision-making.
    Pierce R; Sterckx S; Van Biesen W
    Bioethics; 2022 Feb; 36(2):113-120. PubMed ID: 34374441
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Call for the responsible artificial intelligence in the healthcare.
    Upadhyay U; Gradisek A; Iqbal U; Dhar E; Li YC; Syed-Abdul S
    BMJ Health Care Inform; 2023 Dec; 30(1):. PubMed ID: 38135293
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Coming to Terms with the Black Box Problem: How to Justify AI Systems in Health Care.
    Felder RM
    Hastings Cent Rep; 2021 Jul; 51(4):38-45. PubMed ID: 33821471
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.
    Mursch-Edlmayr AS; Ng WS; Diniz-Filho A; Sousa DC; Arnold L; Schlenker MB; Duenas-Angeles K; Keane PA; Crowston JG; Jayaram H
    Transl Vis Sci Technol; 2020 Oct; 9(2):55. PubMed ID: 33117612
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making.
    Macri R; Roberts SL
    Curr Oncol; 2023 Feb; 30(2):2178-2186. PubMed ID: 36826129
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ARTIFICIAL INTELLIGENCE IN MEDICAL PRACTICE: REGULATIVE ISSUES AND PERSPECTIVES.
    Pashkov VM; Harkusha AO; Harkusha YO
    Wiad Lek; 2020; 73(12 cz 2):2722-2727. PubMed ID: 33611272
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The artificial intelligence revolution in primary care: Challenges, dilemmas and opportunities.
    Vidal-Alaball J; Panadés Zafra R; Escalé-Besa A; Martinez-Millana A
    Aten Primaria; 2024 Feb; 56(2):102820. PubMed ID: 38056048
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of artificial intelligence clinical applications: Detailed case analyses show value of healthcare ethics approach in identifying patient care issues.
    Rogers WA; Draper H; Carter SM
    Bioethics; 2021 Sep; 35(7):623-633. PubMed ID: 34046918
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A "Third Wheel" Effect in Health Decision Making Involving Artificial Entities: A Psychological Perspective.
    Triberti S; Durosini I; Pravettoni G
    Front Public Health; 2020; 8():117. PubMed ID: 32411641
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ethical Issues in the Utilization of Black Boxes for Artificial Intelligence in Medicine.
    Beltramin D; Lamas E; Bousquet C
    Stud Health Technol Inform; 2022 Jun; 295():249-252. PubMed ID: 35773855
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of artificial intelligence in critical care: opportunities and obstacles.
    Pinsky MR; Bedoya A; Bihorac A; Celi L; Churpek M; Economou-Zavlanos NJ; Elbers P; Saria S; Liu V; Lyons PG; Shickel B; Toral P; Tscholl D; Clermont G
    Crit Care; 2024 Apr; 28(1):113. PubMed ID: 38589940
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.
    Simon G; DiNardo CD; Takahashi K; Cascone T; Powers C; Stevens R; Allen J; Antonoff MB; Gomez D; Keane P; Suarez Saiz F; Nguyen Q; Roarty E; Pierce S; Zhang J; Hardeman Barnhill E; Lakhani K; Shaw K; Smith B; Swisher S; High R; Futreal PA; Heymach J; Chin L
    Oncologist; 2019 Jun; 24(6):772-782. PubMed ID: 30446581
    [TBL] [Abstract][Full Text] [Related]  

  • 13. How Clinicians Perceive Artificial Intelligence-Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach.
    Hah H; Goldin DS
    J Med Internet Res; 2021 Dec; 23(12):e33540. PubMed ID: 34924356
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The future of artificial intelligence in medicine: Medical-legal considerations for health leaders.
    Jassar S; Adams SJ; Zarzeczny A; Burbridge BE
    Healthc Manage Forum; 2022 May; 35(3):185-189. PubMed ID: 35354409
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preparing for the future: How organizations can prepare boards, leaders, and risk managers for artificial intelligence.
    Dixit A; Quaglietta J; Gaulton C
    Healthc Manage Forum; 2021 Nov; 34(6):346-352. PubMed ID: 34533369
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation.
    Badrouchi S; Bacha MM; Hedri H; Ben Abdallah T; Abderrahim E
    J Nephrol; 2023 May; 36(4):1087-1100. PubMed ID: 36547773
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.
    Seibert K; Domhoff D; Bruch D; Schulte-Althoff M; Fürstenau D; Biessmann F; Wolf-Ostermann K
    J Med Internet Res; 2021 Nov; 23(11):e26522. PubMed ID: 34847057
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Investigating the Barriers to Physician Adoption of an Artificial Intelligence- Based Decision Support System in Emergency Care: An Interpretative Qualitative Study.
    Petitgand C; Motulsky A; Denis JL; Régis C
    Stud Health Technol Inform; 2020 Jun; 270():1001-1005. PubMed ID: 32570532
    [TBL] [Abstract][Full Text] [Related]  

  • 19. How Artificial Intelligence for Healthcare Look Like in the Future?
    Denecke K; Gabarron E
    Stud Health Technol Inform; 2021 May; 281():860-864. PubMed ID: 34042796
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence framework for simulating clinical decision-making: a Markov decision process approach.
    Bennett CC; Hauser K
    Artif Intell Med; 2013 Jan; 57(1):9-19. PubMed ID: 23287490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.