BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

359 related articles for article (PubMed ID: 35062087)

  • 1. Medical Informatics in a Tension Between Black-Box AI and Trust.
    Sariyar M; Holm J
    Stud Health Technol Inform; 2022 Jan; 289():41-44. PubMed ID: 35062087
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
    Ali S; Akhlaq F; Imran AS; Kastrati Z; Daudpota SM; Moosa M
    Comput Biol Med; 2023 Nov; 166():107555. PubMed ID: 37806061
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Medically-oriented design for explainable AI for stress prediction from physiological measurements.
    Jaber D; Hajj H; Maalouf F; El-Hajj W
    BMC Med Inform Decis Mak; 2022 Feb; 22(1):38. PubMed ID: 35148762
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology.
    Petch J; Di S; Nelson W
    Can J Cardiol; 2022 Feb; 38(2):204-213. PubMed ID: 34534619
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.
    Fernandes GJ; Choi A; Schauer JM; Pfammatter AF; Spring BJ; Darwiche A; Alshurafa NI
    J Med Internet Res; 2023 Sep; 25():e42047. PubMed ID: 37672333
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
    Chen H; Cohen E; Wilson D; Alfred M
    JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The false hope of current approaches to explainable artificial intelligence in health care.
    Ghassemi M; Oakden-Rayner L; Beam AL
    Lancet Digit Health; 2021 Nov; 3(11):e745-e750. PubMed ID: 34711379
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Explainable AI for Bioinformatics: Methods, Tools and Applications.
    Karim MR; Islam T; Shajalal M; Beyan O; Lange C; Cochez M; Rebholz-Schuhmann D; Decker S
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37478371
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Explainable artificial intelligence in emergency medicine: an overview.
    Okada Y; Ning Y; Ong MEH
    Clin Exp Emerg Med; 2023 Dec; 10(4):354-362. PubMed ID: 38012816
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question.
    Bousquet C; Beltramin D
    Stud Health Technol Inform; 2022 May; 294():114-115. PubMed ID: 35612027
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Opening the black box of AI-Medicine.
    Poon AIF; Sung JJY
    J Gastroenterol Hepatol; 2021 Mar; 36(3):581-584. PubMed ID: 33709609
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Explainable AI in medical imaging: An overview for clinical practitioners - Beyond saliency-based XAI approaches.
    Borys K; Schmitt YA; Nauta M; Seifert C; Krämer N; Friedrich CM; Nensa F
    Eur J Radiol; 2023 May; 162():110786. PubMed ID: 36990051
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A brief history of artificial intelligence embryo selection: from black-box to glass-box.
    Lee T; Natalwala J; Chapple V; Liu Y
    Hum Reprod; 2024 Feb; 39(2):285-292. PubMed ID: 38061074
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges.
    Giacobbe DR; Zhang Y; de la Fuente J
    Ann Med; 2023; 55(2):2286336. PubMed ID: 38010090
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies.
    Markus AF; Kors JA; Rijnbeek PR
    J Biomed Inform; 2021 Jan; 113():103655. PubMed ID: 33309898
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A review of explainable and interpretable AI with applications in COVID-19 imaging.
    Fuhrman JD; Gorre N; Hu Q; Li H; El Naqa I; Giger ML
    Med Phys; 2022 Jan; 49(1):1-14. PubMed ID: 34796530
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Explainable AI in medical imaging: An overview for clinical practitioners - Saliency-based XAI approaches.
    Borys K; Schmitt YA; Nauta M; Seifert C; Krämer N; Friedrich CM; Nensa F
    Eur J Radiol; 2023 May; 162():110787. PubMed ID: 37001254
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Trust and medical AI: the challenges we face and the expertise needed to overcome them.
    Quinn TP; Senadeera M; Jacobs S; Coghlan S; Le V
    J Am Med Inform Assoc; 2021 Mar; 28(4):890-894. PubMed ID: 33340404
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.
    Ploug T; Sundby A; Moeslund TB; Holm S
    J Med Internet Res; 2021 Dec; 23(12):e26611. PubMed ID: 34898454
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence and explanation: How, why, and when to explain black boxes.
    Marcus E; Teuwen J
    Eur J Radiol; 2024 Apr; 173():111393. PubMed ID: 38417186
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.