BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

273 related articles for article (PubMed ID: 36746792)

  • 1. Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).
    Bhandari A; Scott L; Weilbach M; Marwah R; Lasocki A
    Neuroradiology; 2023 May; 65(5):907-913. PubMed ID: 36746792
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms.
    Belue MJ; Harmon SA; Lay NS; Daryanani A; Phelps TE; Choyke PL; Turkbey B
    J Am Coll Radiol; 2023 Feb; 20(2):134-145. PubMed ID: 35922018
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM).
    Si L; Zhong J; Huo J; Xuan K; Zhuang Z; Hu Y; Wang Q; Zhang H; Yao W
    Eur Radiol; 2022 Feb; 32(2):1353-1361. PubMed ID: 34347157
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.
    Shelmerdine SC; Arthurs OJ; Denniston A; Sebire NJ
    BMJ Health Care Inform; 2021 Aug; 28(1):. PubMed ID: 34426417
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Applications of artificial intelligence in magnetic resonance imaging of primary pediatric cancers: a scoping review and CLAIM score assessment.
    Tsang B; Gupta A; Takahashi MS; Baffi H; Ola T; Doria AS
    Jpn J Radiol; 2023 Oct; 41(10):1127-1147. PubMed ID: 37395982
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Checklist for Artificial Intelligence in Medical Imaging Reporting Adherence in Peer-Reviewed and Preprint Manuscripts With the Highest Altmetric Attention Scores: A Meta-Research Study.
    Sivanesan U; Wu K; McInnes MDF; Dhindsa K; Salehi F; van der Pol CB
    Can Assoc Radiol J; 2023 May; 74(2):334-342. PubMed ID: 36301600
    [No Abstract]   [Full Text] [Related]  

  • 7. Evaluating the clinical utility of artificial intelligence assistance and its explanation on the glioma grading task.
    Jin W; Fatehi M; Guo R; Hamarneh G
    Artif Intell Med; 2024 Feb; 148():102751. PubMed ID: 38325929
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.
    Kocak B; Keles A; Akinci D'Antonoli T
    Eur Radiol; 2024 Apr; 34(4):2805-2815. PubMed ID: 37740080
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia.
    Kim DY; Oh HW; Suh CH
    Korean J Radiol; 2023 Dec; 24(12):1179-1189. PubMed ID: 38016678
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis.
    Bhandari A; Marwah R; Smith J; Nguyen D; Bhatti A; Lim CP; Lasocki A
    J Med Imaging Radiat Oncol; 2022 Sep; 66(6):781-797. PubMed ID: 35599360
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?
    Suarez-Ibarrola R; Sigle A; Eklund M; Eberli D; Miernik A; Benndorf M; Bamberg F; Gratzke C
    Eur Urol Focus; 2022 Mar; 8(2):409-417. PubMed ID: 33773964
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tasks for artificial intelligence in prostate MRI.
    Belue MJ; Turkbey B
    Eur Radiol Exp; 2022 Jul; 6(1):33. PubMed ID: 35908102
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal.
    Olczak J; Pavlopoulos J; Prijs J; Ijpma FFA; Doornberg JN; Lundström C; Hedlund J; Gordon M
    Acta Orthop; 2021 Oct; 92(5):513-525. PubMed ID: 33988081
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review.
    Subramanian H; Dey R; Brim WR; Tillmanns N; Cassinelli Petersen G; Brackett A; Mahajan A; Johnson M; Malhotra A; Aboian M
    Front Oncol; 2021; 11():788819. PubMed ID: 35004312
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Towards effective machine learning in medical imaging analysis: A novel approach and expert evaluation of high-grade glioma 'ground truth' simulation on MRI.
    Sepehri K; Song X; Proulx R; Hajra SG; Dobberthien B; Liu CC; D'Arcy RCN; Murray D; Krauze AV
    Int J Med Inform; 2021 Feb; 146():104348. PubMed ID: 33285357
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine.
    Chou PH; Jou TH; Wu HH; Yao YC; Lin HH; Chang MC; Wang ST; Lu HH; Chen HH
    Spine J; 2022 Apr; 22(4):511-523. PubMed ID: 34737066
    [TBL] [Abstract][Full Text] [Related]  

  • 17. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review.
    Langerhuizen DWG; Janssen SJ; Mallee WH; van den Bekerom MPJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
    Clin Orthop Relat Res; 2019 Nov; 477(11):2482-2491. PubMed ID: 31283727
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Reporting guidelines for artificial intelligence in healthcare research.
    Ibrahim H; Liu X; Denniston AK
    Clin Exp Ophthalmol; 2021 Jul; 49(5):470-476. PubMed ID: 33956386
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quality of reporting in AI cardiac MRI segmentation studies - A systematic review and recommendations for future studies.
    Alabed S; Maiter A; Salehi M; Mahmood A; Daniel S; Jenkins S; Goodlad M; Sharkey M; Mamalakis M; Rakocevic V; Dwivedi K; Assadi H; Wild JM; Lu H; O'Regan DP; van der Geest RJ; Garg P; Swift AJ
    Front Cardiovasc Med; 2022; 9():956811. PubMed ID: 35911553
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.