Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications
The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Continence Society
2023-11-01
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| Series: | International Neurourology Journal |
| Subjects: | |
| Online Access: | http://einj.org/upload/pdf/inj-2346286-143.pdf |
| _version_ | 1797449566903074816 |
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| author | Hyun Suh Kim Eun Joung Kim JungYoon Kim |
| author_facet | Hyun Suh Kim Eun Joung Kim JungYoon Kim |
| author_sort | Hyun Suh Kim |
| collection | DOAJ |
| description | The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology. |
| first_indexed | 2024-03-09T14:26:54Z |
| format | Article |
| id | doaj.art-77cf76fda601407195fc87f61c8f5c35 |
| institution | Directory Open Access Journal |
| issn | 2093-4777 2093-6931 |
| language | English |
| last_indexed | 2024-03-09T14:26:54Z |
| publishDate | 2023-11-01 |
| publisher | Korean Continence Society |
| record_format | Article |
| series | International Neurourology Journal |
| spelling | doaj.art-77cf76fda601407195fc87f61c8f5c352023-11-28T05:41:15ZengKorean Continence SocietyInternational Neurourology Journal2093-47772093-69312023-11-0127Suppl 2S738110.5213/inj.2346286.1431078Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical ApplicationsHyun Suh Kim0Eun Joung Kim1JungYoon Kim2 School of Photography and Videography, Kyungil University, Gyeongsan, Korea Culture Contents Technology Institute, Gachon University, Seongnam, Korea Department of Game Media, College of Future Industry, Gachon University, Seongnam, KoreaThe integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.http://einj.org/upload/pdf/inj-2346286-143.pdfurologymedical imagingartificial intelligencemachine learningapplications |
| spellingShingle | Hyun Suh Kim Eun Joung Kim JungYoon Kim Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications International Neurourology Journal urology medical imaging artificial intelligence machine learning applications |
| title | Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications |
| title_full | Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications |
| title_fullStr | Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications |
| title_full_unstemmed | Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications |
| title_short | Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications |
| title_sort | emerging trends in artificial intelligence based urological imaging technologies and practical applications |
| topic | urology medical imaging artificial intelligence machine learning applications |
| url | http://einj.org/upload/pdf/inj-2346286-143.pdf |
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