人工智能在膀胱癌高级诊断中的应用——综合文献综述与未来进展
Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement.
作者信息
Ferro Matteo, Falagario Ugo Giovanni, Barone Biagio, Maggi Martina, Crocetto Felice, Busetto Gian Maria, Giudice Francesco Del, Terracciano Daniela, Lucarelli Giuseppe, Lasorsa Francesco, Catellani Michele, Brescia Antonio, Mistretta Francesco Alessandro, Luzzago Stefano, Piccinelli Mattia Luca, Vartolomei Mihai Dorin, Jereczek-Fossa Barbara Alicja, Musi Gennaro, Montanari Emanuele, Cobelli Ottavio de, Tataru Octavian Sabin
机构信息
Department of Urology, IEO-European Institute of Oncology, IRCCS-Istituto di Ricovero e Cura a Carattere Scientifico, 20141 Milan, Italy.
Department of Urology and Organ Transplantation, University of Foggia, 71121 Foggia, Italy.
出版信息
Diagnostics (Basel). 2023 Jul 7;13(13):2308. doi: 10.3390/diagnostics13132308.
Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatically learn from massive amounts of data and can improve the prediction algorithms to enhance their performance. This area is still under development, but the latest evidence shows great potential in the diagnosis, prognosis, and treatment of urological diseases, including bladder cancer, which are currently using old prediction tools and historical nomograms. This review focuses on highly significant and comprehensive literature evidence of artificial intelligence in the management of bladder cancer and investigates the near introduction in clinical practice.
人工智能被高度视为最具前景的未来技术，将对所有专业的医疗保健产生重大影响。其分支，机器学习、深度学习和人工神经网络，能够从大量数据中自动学习，并可以改进预测算法以提高其性能。该领域仍在发展中，但最新证据表明，在包括膀胱癌在内的泌尿系统疾病的诊断、预后和治疗方面具有巨大潜力，目前这些疾病仍在使用陈旧的预测工具和历史列线图。本综述重点关注人工智能在膀胱癌管理方面极具意义且全面的文献证据，并探讨其在临床实践中的近期引入情况。
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