medigraphic.com
SPANISH

Archivos en Medicina Familiar

Órgano de Difusión de la Asociación Académica Panamericana de Medicina Familiar A.C.
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2025, Number 2

Next >>

Arch Med Fam 2025; 27 (2)

Role of Artificial Intelligence in Improving Diagnostic Accuracy in Radiology: Implications for Family Medicine

Hernández NJA, Therán LJS, Dulcey SLA, Gómez AJA, Ochoa CV, Hernández NV
Full text How to cite this article

Language: Spanish
References: 9
Page: 53-54
PDF size: 122.86 Kb.


Key words:

No keywords

Text Extraction

No abstract.


REFERENCES

  1. Guermazi A, Tannoury C, Kompel AJ, Murakami AM,Ducarouge A, Gillibert A, et al. Improving RadiographicFracture Recognition Performance and Efficiency UsingArtificial Intelligence. Radiology [Internet]. 2022 Mar1 [cited 2024 Oct 29];302(3):627–36. Available from:https://pubmed.ncbi.nlm.nih.gov/34931859/

  2. Bennani S, Regnard NE, Ventre J, Lassalle L, NguyenT, Ducarouge A, et al. Using AI to Improve RadiologistPerformance in Detection of Abnormalities on ChestRadiographs. Radiology [Internet]. 2023 Dec 1 [cited2024 Oct 29];309(3). Available from: https://pubmed.ncbi.nlm.nih.gov/38085079/

  3. Jiang Y, Edwards A V., Newstead GM. Artificial IntelligenceApplied to Breast MRI for Improved Diagnosis.Radiology [Internet]. 2021 [cited 2024 Oct29];298(1):38–46. Available from: https://pubmed.ncbi.nlm.nih.gov/33078996/

  4. Eng DK, Khandwala NB, Long J, Fefferman NR, Lala SV., Strubel NA, et al. Artificial Intelligence AlgorithmImproves Radiologist Performance in Skeletal AgeAssessment: A Prospective Multicenter RandomizedControlled Trial. Radiology [Internet]. 2021 Dec 1 [cited2024 Oct 29];301(3):692–9. Available from: https://pubmed.ncbi.nlm.nih.gov/34581608/

  5. Saha A, Bosma JS, Twilt JJ, van Ginneken B, BjartellA, Padhani AR, et al. Artificial intelligence and radiologistsin prostate cancer detection on MRI (PI-CAI):an international, paired, non-inferiority, confirmatorystudy. Lancet Oncol [Internet]. 2024 Jul 1 [cited 2024Oct 29];25(7):879–87. Available from: https://pubmed.ncbi.nlm.nih.gov/38876123/

  6. Morgan MB, Mates JL. Applications of Artificial Intelligencein Breast Imaging. Radiol Clin North Am[Internet]. 2021 Jan 1 [cited 2024 Oct 29];59(1):139–48. Available from: https://pubmed.ncbi.nlm.nih.gov/33222996/

  7. Fazal MI, Patel ME, Tye J, Gupta Y. The past, presentand future role of artificial intelligence in imaging.Eur J Radiol [Internet]. 2018 Aug 1 [cited 2024 Oct29];105:246–50. Available from: https://pubmed.ncbi.nlm.nih.gov/30017288/

  8. Tam MDBS, Dyer T, Dissez G, Morgan TN, Hughes M,Illes J, et al. Augmenting lung cancer diagnosis onchest radiographs: positioning artificial intelligenceto improve radiologist performance. Clin Radiol [Internet].2021 Aug 1 [cited 2024 Oct 29];76(8):607–14. Available from: https://pubmed.ncbi.nlm.nih.gov/33993997/

  9. Tam MDBS, Dyer T, Dissez G, Morgan TN, Hughes M,Illes J, et al. Augmenting lung cancer diagnosis onchest radiographs: positioning artificial intelligenceto improve radiologist performance. Clin Radiol [Internet].2021 Aug 1 [cited 2024 Oct 29];76(8):607–14. Available from: https://pubmed.ncbi.nlm.nih.gov/33993997/




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Arch Med Fam. 2025;27