The Present and Future of Artificial Intelligence in Urological Cancer

被引：3

作者：

Liu, Xun ^{[1
]}

Shi, Jianxi ^{[1
]}

Li, Zhaopeng ^{[1
]}

Huang, Yue ^{[1
]}

Zhang, Zhihong ^{[1
]}

Zhang, Changwen ^{[1
]}

机构：

[1] Tianjin Med Univ, Hosp 2, Tianjin Inst Urol, Tianjin 300211, Peoples R China

来源：

JOURNAL OF CLINICAL MEDICINE | 2023年 / 12卷 / 15期

关键词：

artificial intelligence; urological cancer; pathology; imaging; treatment; RENAL-CELL CARCINOMA; BLADDER-CANCER; INTEROBSERVER VARIABILITY; PROSTATE-CANCER; DIAGNOSIS; MODEL; PREDICTION; OUTCOMES; RISK; OPPORTUNITIES;

D O I：

10.3390/jcm12154995

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Artificial intelligence has drawn more and more attention for both research and application in the field of medicine. It has considerable potential for urological cancer detection, therapy, and prognosis prediction due to its ability to choose features in data to complete a particular task autonomously. Although the clinical application of AI is still immature and faces drawbacks such as insufficient data and a lack of prospective clinical trials, AI will play an essential role in individualization and the whole management of cancers as research progresses. In this review, we summarize the applications and studies of AI in major urological cancers, including tumor diagnosis, treatment, and prognosis prediction. Moreover, we discuss the current challenges and future applications of AI.

引用

页数：14

共 50 条

[21] Artificial intelligence in breast cancer: application and future perspectives [J].

Shuixin Yan ;

Jiadi Li ;

Weizhu Wu .

Journal of Cancer Research and Clinical Oncology, 2023, 149 :16179-16190

[22] A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence [J].

Haenlein, Michael ;

Kaplan, Andreas .

CALIFORNIA MANAGEMENT REVIEW, 2019, 61 (04) :5-14

[23] Artificial intelligence in gastric cancer: a systematic review [J].

Jin, Peng ;

Ji, Xiaoyan ;

Kang, Wenzhe ;

Li, Yang ;

Liu, Hao ;

Ma, Fuhai ;

Ma, Shuai ;

Hu, Haitao ;

Li, Weikun ;

Tian, Yantao .

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2020, 146 (09) :2339-2350

[24] Bladder Cancer and Artificial Intelligence Emerging Applications [J].

Laurie, Mark A. ;

Zhou, Steve R. ;

Islam, Md Tauhidul ;

Shkolyar, Eugene ;

Xing, Lei ;

Liao, Joseph C. .

UROLOGIC CLINICS OF NORTH AMERICA, 2024, 51 (01) :63-75

[25] Artificial Intelligence for Cancer Detection-A Bibliometric Analysis and Avenues for Future Research [J].

Karger, Erik ;

Kureljusic, Marko .

CURRENT ONCOLOGY, 2023, 30 (02) :1626-1647

[26] Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges [J].

Abioye, Sofiat O. ;

Oyedele, Lukumon O. ;

Akanbi, Lukman ;

Ajayi, Anuoluwapo ;

Delgado, Juan Manuel Davila ;

Bilal, Muhammad ;

Akinade, Olugbenga O. ;

Ahmed, Ashraf .

JOURNAL OF BUILDING ENGINEERING, 2021, 44

[27] Present status and future perspective of peptide-based vaccine therapy for urological cancer [J].

Obara, Wataru ;

Kanehira, Mitsugu ;

Katagiri, Toyomasa ;

Kato, Renpei ;

Kato, Yoichiro ;

Takata, Ryo .

CANCER SCIENCE, 2018, 109 (03) :550-559

[28] Artificial intelligence and deep learning in ophthalmology - present and future (Review) [J].

Moraru, Andreea Dana ;

Costin, Danut ;

Moraru, Radu Lucian ;

Branisteanu, Daniel Constantin .

EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2020, 20 (04) :3469-3473

[29] Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation [J].

Peloso, Andrea ;

Moeckli, Beat ;

Delaune, Vaihere ;

Oldani, Graziano ;

Andres, Axel ;

Compagnon, Philippe .

TRANSPLANT INTERNATIONAL, 2022, 35

[30] The present and future role of artificial intelligence and machine learning in anesthesiology [J].

Alexander, John C. ;

Romito, Bryan T. ;

Cobanoglu, Murat Can .

INTERNATIONAL ANESTHESIOLOGY CLINICS, 2020, 58 (04) :7-16

← 1 2 3 4 5 →