Artificial Intelligence on Urology Lab
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ha, Jae Baek | - |
dc.contributor.author | Jeong, Jaewoon | - |
dc.contributor.author | Suh, Jeongyoon | - |
dc.contributor.author | Park, Sungyun | - |
dc.contributor.author | Wang, Ruei Ting | - |
dc.contributor.author | Kim, Taewoo | - |
dc.contributor.author | Koh, Ji Eun | - |
dc.contributor.author | Tae, Jong Hyun | - |
dc.contributor.author | Chang, In Ho | - |
dc.contributor.author | Choi, Se Young | - |
dc.date.accessioned | 2024-01-18T06:30:51Z | - |
dc.date.available | 2024-01-18T06:30:51Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2234-4977 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/71071 | - |
dc.description.abstract | The development of lab-on-a-chip technology based on microfluidics has been used from diagnostic test to drug screening in biomedical science. Lab-on-a-chip technology is also being expanded to the concept of an organ-on-a-chip with the development of cell biology and biocompatible material development. In addition, artificial intelligence (AI) has brought dramatic changes over the past few years in science, industry, defense, science and healthcare. AI-generated output is beginning to prove comparable or even superior to that of human experts. Lab-on-a-chip technology in specific microfluidic devices can overcome the above bottlenecks as a platform for building and implementing AI in a large-scale, cost-effective, high-throughput, automated and multiplexed manner. This platform, high-throughput imaging, becomes an important tool because it can generate high-content information which are too complex to analyze with conventional computational tools. In addition to the capabilities of a data provider, lab-on-a-chip technology can also be leveraged to enable AI developed for the accurate identification, characterization, classification and prediction of objects in heterogeneous samples. AI will provide quantitative and qualitative analysis results close to human in the urology field with lab-on-a-chip. | - |
dc.format.extent | 14 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한비뇨기종양학회 | - |
dc.title | Artificial Intelligence on Urology Lab | - |
dc.title.alternative | 비뇨의학 연구실 인공지능 | - |
dc.type | Article | - |
dc.identifier.doi | 10.22465/kjuo.2022.20.3.163 | - |
dc.identifier.bibliographicCitation | 대한비뇨기종양학술지, v.20, no.3, pp 163 - 176 | - |
dc.identifier.kciid | ART002869632 | - |
dc.description.isOpenAccess | Y | - |
dc.citation.endPage | 176 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 163 | - |
dc.citation.title | 대한비뇨기종양학술지 | - |
dc.citation.volume | 20 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Lab-on-a-chip | - |
dc.subject.keywordAuthor | Artificial intelligence | - |
dc.subject.keywordAuthor | Organ-on-a-chip | - |
dc.subject.keywordAuthor | Microfluidics | - |
dc.description.journalRegisteredClass | kci | - |
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