2025, Number 2
Role of Artificial Intelligence in Improving Diagnostic Accuracy in Radiology: Implications for Family Medicine
Language: Spanish
References: 9
Page: 53-54
PDF size: 122.86 Kb.
Text Extraction
No abstract.REFERENCES
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/
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/
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/
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/
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/