Reig M, Forner A, Rimola J et al (2022) BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update. J Hepatol 76(3):681-693. https://doi.org/10.1016/j.jhep.2021.11.018.

Article  PubMed  Google Scholar 

Sugawara S, Sone M, Sakamoto N et al (2023) Guidelines for central venous port placement and management (Abridged Translation of the Japanese Version). Interv Radiol (Higashimatsuyama) 8(2):105-117. https://doi.org/10.22575/interventionalradiology.2022-0015.

Article  PubMed  Google Scholar 

Horattas MC, Trupiano J, Hopkins S, Pasini D, Martino C, Murty A (2001) Changing concepts in long-term central venous access: catheter selection and cost savings. Am J Infect Control 29(1):32-40. https://doi.org/10.1067/mic.2001.111536.

Article  CAS  PubMed  Google Scholar 

Yu Q, Funaki B, Ahmed O (2024) Twenty years of embolization for acute lower gastrointestinal bleeding: a meta-analysis of rebleeding and ischaemia rates. Br J Radiol 97(1157):920-932. https://doi.org/10.1093/bjr/tqae037.

Article  PubMed  Google Scholar 

Jablonska B, Mrowiec S (2024) Endovascular treatment of hepatic artery pseudoaneurysm after pancreaticoduodenectomy: a literature review. Life (Basel) 14(8)https://doi.org/10.3390/life14080920.

Article  PubMed  Google Scholar 

Awwad A, Dhillon PS, Ramjas G, Habib SB, Al-Obaydi W (2018) Trans-arterial embolisation (TAE) in haemorrhagic pelvic injury: review of management and mid-term outcome of a major trauma centre. CVIR Endovasc 1(1):32. https://doi.org/10.1186/s42155-018-0031-3.

Article  PubMed  PubMed Central  Google Scholar 

Fernandez MG, Coutinho de Carvalho SF, Martins BA et al (2024) Uterine artery embolization versus hysterectomy in postpartum hemorrhage: a systematic review with meta-analysis. J Endovasc Ther:15266028241252730. https://doi.org/10.1177/15266028241252730.

Kanagawa H, Mima S, Kouyama H, Gotoh K, Uchida T, Okuda K (1996) Treatment of gastric fundal varices by balloon-occluded retrograde transvenous obliteration. J Gastroenterol Hepatol 11(1):51-58. https://doi.org/10.1111/j.1440-1746.1996.tb00010.x.

Article  CAS  PubMed  Google Scholar 

Brookmeyer CE, Bhatt S, Fishman EK, Sheth S (2022) Multimodality imaging after liver transplant: top 10 important complications. Radiographics 42(3):702-721. https://doi.org/10.1148/rg.210108.

Article  PubMed  Google Scholar 

Thornburg B, Katariya N, Riaz A et al (2017) Interventional radiology in the management of the liver transplant patient. Liver Transpl 23(10):1328-1341. https://doi.org/10.1002/lt.24828.

Article  PubMed  Google Scholar 

Almansour H, Li N, Murphy MC, Healy GM (2023) Interventional radiology training: international variations. Radiology 308(1):e230040. https://doi.org/10.1148/radiol.230040.

Article  PubMed  Google Scholar 

Kachura JR (2023) Rules for Interventional Radiology. Can Assoc Radiol J 74(1):172-179. https://doi.org/10.1177/08465371221121338.

Article  PubMed  Google Scholar 

Chng SY, Tern PJW, Kan MRX, Cheng LTE (2023) Automated labelling of radiology reports using natural language processing: comparison of traditional and newer methods. Health Care Sci 2(2):120-128. https://doi.org/10.1002/hcs2.40.

Article  PubMed  PubMed Central  Google Scholar 

Yasaka K, Abe O (2018) Deep learning and artificial intelligence in radiology: current applications and future directions. PLoS Med 15(11):e1002707. https://doi.org/10.1371/journal.pmed.1002707.

Article  PubMed  PubMed Central  Google Scholar 

Chartrand G, Cheng PM, Vorontsov E et al (2017) Deep learning: a primer for radiologists. Radiographics 37(7):2113-2131. https://doi.org/10.1148/rg.2017170077.

Article  PubMed  Google Scholar 

Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O (2018) Deep learning with convolutional neural network in radiology. Jpn J Radiol 36(4):257-272. https://doi.org/10.1007/s11604-018-0726-3.

Article  PubMed  Google Scholar 

Kiryu S, Akai H, Yasaka K et al (2023) Clinical impact of deep learning reconstruction in MRI. Radiographics 43(6):e220133. https://doi.org/10.1148/rg.220133.

Article  PubMed  Google Scholar 

Yasaka K, Kanzawa J, Nakaya M et al (2024) Super-resolution deep learning reconstruction for 3D Brain MR imaging: improvement of cranial nerve depiction and interobserver agreement in evaluations of neurovascular conflict. Acad Radiol https://doi.org/10.1016/j.acra.2024.06.010.

Article  PubMed  Google Scholar 

Tajima T, Akai H, Sugawara H et al (2021) Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique. Eur J Radiol 144:109994. https://doi.org/10.1016/j.ejrad.2021.109994.

Article  PubMed  Google Scholar 

Yasaka K, Uehara S, Kato S et al (2024) Super-resolution deep learning reconstruction cervical spine 1.5T MRI: improved interobserver agreement in evaluations of neuroforaminal stenosis compared to conventional deep learning reconstruction. J Imaging Inform Med https://doi.org/10.1007/s10278-024-01112-y.

Kiryu S, Yasaka K, Akai H et al (2019) Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study. Eur Radiol https://doi.org/10.1007/s00330-019-06327-0.

Article  PubMed  Google Scholar 

Yasaka K, Akai H, Abe O, Kiryu S (2018) Deep learning with convolutional neural network for differentiation of liver masses at dynamic contrast-enhanced CT: a preliminary study. Radiology 286(3):887-896. https://doi.org/10.1148/radiol.2017170706.

Article  PubMed  Google Scholar 

Hamada T, Yasaka K, Nakai Y et al (2024) Computed tomography-based prediction of pancreatitis following biliary metal stent placement with the convolutional neural network. Endosc Int Open 12(6):E772-E780. https://doi.org/10.1055/a-2298-0147.

Article  PubMed  PubMed Central  Google Scholar 

Yasaka K, Kamagata K, Ogawa T et al (2021) Parkinson's disease: deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation. Neuroradiology https://doi.org/10.1007/s00234-021-02648-4.

Article  PubMed  PubMed Central  Google Scholar 

Bobba PS, Sailer A, Pruneski JA et al (2023) Natural language processing in radiology: Clinical applications and future directions. Clin Imaging 97:55-61. https://doi.org/10.1016/j.clinimag.2023.02.014.

Article  PubMed  Google Scholar 

Lopez-Ubeda P, Martin-Noguerol T, Escartin J, Luna A (2024) Role of natural language processing in automatic detection of unexpected findings in radiology reports: a comparative study of RoBERTa, CNN, and ChatGPT. Acad Radiol https://doi.org/10.1016/j.acra.2024.07.057.

Article  PubMed  Google Scholar 

Stade EC, Stirman SW, Ungar LH et al (2024) Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. Npj Ment Health Res 3(1):12. https://doi.org/10.1038/s44184-024-00056-z.

Article  PubMed  PubMed Central  Google Scholar 

Can E, Uller W, Vogt K et al (2024) Large language models for simplified interventional radiology reports: a comparative analysis. Acad Radiol https://doi.org/10.1016/j.acra.2024.09.041.

Article  PubMed  Google Scholar 

Glielmo P, Fusco S, Gitto S et al (2024) Artificial intelligence in interventional radiology: state of the art. Eur Radiol Exp 8(1):62. https://doi.org/10.1186/s41747-024-00452-2.

Article  PubMed  PubMed Central  Google Scholar 

Gorenstein L, Konen E, Green M, Klang E (2024) Bidirectional encoder representations from transformers in radiology: a systematic review of natural language processing applications. J Am Coll Radiol 21(6):914-941. https://doi.org/10.1016/j.jacr.2024.01.012.

Article  PubMed  Google Scholar 

Mukherjee P, Hou B, Lanfredi RB, Summers RM (2023) Feasibility of using the privacy-preserving large language model vicuna for labeling radiology reports. Radiology 309(1):e231147. https://doi.org/10.1148/radiol.231147.

Article  PubMed  Google Scholar 

Kanemaru N, Yasaka K, Fujita N, Kanzawa J, Abe O (2024) The fine-tuned large language model for extracting the progressive bone metastasis from unstructured radiology reports. J Imaging Inform Med https://doi.org/10.1007/s10278-024-01242-3.

Article  PubMed