Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

被引：27

作者：

Ferro, Matteo ^{[1
]}

Falagario, Ugo Giovanni ^{[2
]}

Barone, Biagio ^{[3
]}

Maggi, Martina ^{[4
]}

Crocetto, Felice ^{[5
]}

Busetto, Gian Maria ^{[2
]}

del Giudice, Francesco ^{[4
]}

Terracciano, Daniela ^{[6
]}

Lucarelli, Giuseppe ^{[7
]}

Lasorsa, Francesco ^{[7
]}

Catellani, Michele ^{[8
]}

Brescia, Antonio ^{[1
]}

Mistretta, Francesco Alessandro ^{[1
,9
]}

Luzzago, Stefano ^{[1
,9
]}

Piccinelli, Mattia Luca ^{[1
]}

Vartolomei, Mihai Dorin ^{[10
]}

Jereczek-Fossa, Barbara Alicja ^{[9
,11
]}

Musi, Gennaro ^{[1
,9
]}

Montanari, Emanuele ^{[12
,13
]}

de Cobelli, Ottavio ^{[1
,9
]}

Tataru, Octavian Sabin ^{[14
]}

机构：

[1] IEO European Inst Oncol, IRCCS Ist Ricovero & Cura Carattere Sci, Dept Urol, I-20141 Milan, Italy

[2] Univ Foggia, Dept Urol & Organ Transplantat, I-71121 Foggia, Italy

[3] AORN St Anna & San Sebastiano, Dept Surg Sci, Urol Unit, I-81100 Caserta, Italy

[4] Sapienza Univ Rome, Policlin Umberto Hosp 1, Dept Maternal Infant & Urol Sci, I-00161 Rome, Italy

[5] Univ Naples Federico II, Dept Neurosci & Reprod Sci & Odontostomatol, I-80131 Naples, Italy

[6] Univ Naples Federico II, Dept Translat Med Sci, I-80131 Naples, Italy

[7] Univ Bari, Dept Emergency & Organ Transplantat, Urol Androl & Kidney Transplantat Unit, I-70124 Bari, Italy

[8] ASST Papa Giovanni XXIII, Dept Urol, I-24127 Bergamo, Italy

[9] Univ Milan, Dept Oncol & Hemato Oncol, I-20122 Milan, Italy

[10] Med Univ Vienna, Dept Urol, A-1090 Vienna, Austria

[11] IEO European Inst Oncol IRCCS, Div Radiat Oncol, I-20141 Milan, Italy

[12] Fdn IRCCS CaGranda Osped Maggiore Policlin, Dept Urol, I-20122 Milan, Italy

[13] Univ Milan, Dept Clin Sci & Community Hlth, I-20122 Milan, Italy

[14] George Emil Palade Univ Med Pharm Sci & Technol Ta, Dept Simulat Appl Med, Targu Mures 540142, Romania

来源：

DIAGNOSTICS | 2023年 / 13卷 / 13期

关键词：

artificial intelligence; machine learning; deep learning; diagnosis; bladder cancer; TEXTURE FEATURES; RADIOMICS; DISCRIMINATION; SEGMENTATION; PREDICTION; RESECTION; SYSTEM;

D O I：

10.3390/diagnostics13132308

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

引用

页数：22

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