XII Jornada Mineira de Radiologia
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1º Dia - 6/19/26
2º Dia - 6/20/26

Aplicação prática da IA na Ressonância Magnética Voltar

Aline Gonçalves

Curso: Técnicas Radiológicas - Sessão 2 "Gestão de Processos - Além da prática operacional" - Luciana Batista

Artigo Autor(es) Referência
AI in radiology and interventions: a structured narrative review of workflow automation, accuracy, and efficiency gains of today and what's coming. Friebe Michael International journal of computer assisted radiology and surgery. 2026 Jan; 21(Jan):1-10. doi: 10.1007/s11548-025-03547-2. pii: .
Artificial Intelligence in Prostate MRI: Current Evidence and Clinical Translation Challenges-A Narrative Review. Bolocan Vlad-Octavian, Mitoi Alexandru, Nicu-Canareica Oana, Băean Maria-Luiza, Medar Cosmin, Popa Gelu-Adrian Journal of imaging. 2025 Sep; 11(Sep):doi: 10.3390/jimaging11100335. pii: 335.
Artificial intelligence applied to magnetic resonance imaging reliably detects the presence, but not the location, of meniscus tears: a systematic review and meta-analysis. Zhao Yi, Coppola Andrew, Karamchandani Urvi, Amiras Dimitri, Gupte Chinmay M European radiology. 2024 Sep; 34(Sep):5954-5964. doi: 10.1007/s00330-024-10625-7. pii: .
Artificial intelligence in multiparametric magnetic resonance imaging: A review. Li Cheng, Li Wen, Liu Chenyang, Zheng Hairong, Cai Jing, Wang Shanshan Medical physics. 2022 Oct; 49(Oct):e1024-e1054. doi: 10.1002/mp.15936. pii: .
Artificial intelligence in radiology: a narrative review of current methods, clinical impact, and future directions Amy Avakian & Garrett Barfoot Avakian, A., Barfoot, G. Artificial intelligence in radiology: a narrative review of current methods, clinical impact, and future directions. BMC Artif. Intell. 2, 1 (2026). https://doi.org/10.1186/s44398-025-00020-7
Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations. Lyo Shawn K, Mohan Suyash, Hoch Michael J, Patel Vivek P, Kurtz Robert M, Hassankhani Alvand Radiology advances. 2025 Sep; 2(Sep):umaf029. doi: 10.1093/radadv/umaf029. pii: umaf029.
Deep learning and AI in reducing magnetic resonance imaging scanning time: advantages and pitfalls in clinical practice. Foti Giovanni, Longo Chiara Polish journal of radiology. 2024 ; 89():e443-e451. doi: 10.5114/pjr/192822. pii: .
Radiology Workflow Assistance With Artificial Intelligence: Establishing the Link to Outcomes. Gu Zehui, Dogra Siddhant, Siriruchatanon Mutita, Kneifati-Hayek Jerard, Kang Stella K Journal of the American College of Radiology : JACR. 2026 Mar; 23(Mar):389-398. doi: 10.1016/j.jacr.2025.10.018. pii: S1546-1440(25)00598-8.
Nenhuma revista foi definida para este congresso.