Enhancing diagnostic precision in liver lesion analysis using a deep learning-based system: opportunities and challenges

Ying, H. et al. A multicenter clinical AI system study for detection and diagnosis of focal liver lesions. Nat. Commun. 15, 1131 (2024).

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mun, S. K., Wong, K. H., Lo, S. B., Li, Y. & Bayarsaikhan, S. Artificial Intelligence for the future radiology diagnostic service. Front. Mol. Biosci. 7, 614258 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Zhou, S. K. et al. A review of deep learning in medical imaging: imaging traits, technology trends, case studies with progress highlights, and future promises. Proc. IEEE 109, 820–838 (2021).

Article  CAS  Google Scholar 

Cheng, P. M. et al. Deep learning: an update for radiologists. Radiographics 41, 1427–1445 (2021).

Article  PubMed  Google Scholar 

Saba, L. et al. The present and future of deep learning in radiology. Eur. J. Radiol. 114, 14–24 (2019).

Article  PubMed  Google Scholar 

Aggarwal, R. et al. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis. NPJ Digit. Med. 4, 65 (2021).

Article  PubMed  PubMed Central  Google Scholar 

Yasaka, K., Akai, H., Abe, O. & Kiryu, S. Deep learning with convolutional neural network for differentiation of liver masses at dynamic contrast-enhanced CT: a preliminary study. Radiology 286, 887–896 (2018).

Article  PubMed  Google Scholar 

Hong, G. S. et al. Overcoming the challenges in the development and implementation of artificial intelligence in radiology: a comprehensive review of solutions beyond supervised learning. Korean J. Radiol. 24, 1061–1080 (2023).

Article  PubMed  PubMed Central  Google Scholar 

Yasaka, K. & Abe, O. Deep learning and artificial intelligence in radiology: current applications and future directions. PLoS Med. 15, e1002707 (2018).

Article  PubMed  PubMed Central  Google Scholar 

Groen, A. M., Kraan, R., Amirkhan, S. F., Daams, J. G. & Maas, M. A systematic review on the use of explainability in deep learning systems for computer aided diagnosis in radiology: limited use of explainable AI? Eur. J. Radiol. 157, 110592 (2022).

Article  PubMed  Google Scholar 

留言 (0)

沒有登入
gif