Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Mi Jung Rho"'
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionNumerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological
Externí odkaz:
https://doaj.org/article/46dff5c4181d40068edde29568aa5d41
Autor:
Jihwan Park, Mi Jung Rho
Publikováno v:
Healthcare Informatics Research, Vol 29, Iss 4, Pp 334-342 (2023)
Objectives Distributed research networks (DRNs) facilitate multicenter research by enabling the use of multicenter data; therefore, they are increasingly utilized in healthcare fields. Despite the numerous advantages of DRNs, it is crucial to underst
Externí odkaz:
https://doaj.org/article/78521a50badc456e80744a367e948e92
Autor:
Mi Jung Rho, Jihwan Park
Publikováno v:
JMIR Formative Research, Vol 7, p e40660 (2023)
BackgroundDistributed research networks (DRNs) offer researchers the advantage of using various big data sets that are difficult to access and use. In addition, since the data are not physically exposed to the outside, it is possible to conduct resea
Externí odkaz:
https://doaj.org/article/2eb411a945ed45aaaf8f57970bbd9bbe
Autor:
Jihwan Park PhD, Ji Youl Lee MD, PhD, Mi Hyoung Moon MD, PhD, Yong Hyun Park MD, PhD, Mi Jung Rho PhD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Objectives: Big data-based multicenter medical research is expected to bring significant advances to cancer treatment worldwide. However, there are concerns related to data sharing among multicenter networks. Clinical data can be shielded by firewall
Externí odkaz:
https://doaj.org/article/c3f06787882745759d911a191c2e0d3b
Autor:
Mi Jung Rho, Jihwan Park, Hyong Woo Moon, Choung-Soo Kim, Seong Soo Jeon, Minyong Kang, Ji Youl Lee
Publikováno v:
Prostate International, Vol 10, Iss 1, Pp 38-44 (2022)
Objectives: To efficiently implement artificial intelligence (AI) software for medical applications, it is crucial to understand the acceptance, expected effects, expected performance, and concerns of software users. In this study, we examine the acc
Externí odkaz:
https://doaj.org/article/abdf2409c422431e9c1114d04bb71228
Autor:
Jihwan Park, Mi Jung Rho, Hyong Woo Moon, Yong Hyun Park, Choung-Soo Kim, Seong Soo Jeon, Minyong Kang, Ji Youl Lee
Publikováno v:
Prostate International, Vol 9, Iss 1, Pp 25-30 (2021)
Purpose: Prostate cancer has a low mortality rate and requires persistent treatment; however, treatment decisions are challenging. Because prostate cancer is complex, the outcomes warrant thorough follow-up evaluation for appropriate treatment. Elect
Externí odkaz:
https://doaj.org/article/00b9bbe9688a4253813327d6a94429a3
Autor:
Soojeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go
Publikováno v:
Journal of Pathology and Translational Medicine, Vol 54, Iss 2, Pp 125-134 (2020)
Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for many pathologists to understand the engineering and mathematics concepts involved in DP. Computer-aided pathology (CAP) aids pathologists in diagno
Externí odkaz:
https://doaj.org/article/e8ef9413a2ea4749a62685ef842a12b7
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 7, p e29315 (2021)
BackgroundSince the COVID-19 outbreak, South Korea has been engaged in various efforts to overcome the pandemic. One of them is to provide app-based COVID-19–related services to the public. As the pandemic continues, a need for various apps has eme
Externí odkaz:
https://doaj.org/article/180f20699911424b942afbdf52633460
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Despite the many advantages of smartphone in daily life, there are significant concerns regarding their problematic use. Therefore, several smartphone usage management applications have been developed to prevent problematic smartphone use. The purpos
Externí odkaz:
https://doaj.org/article/66fd9015c6524c618d8f205868222423
Dr. Answer AI for Prostate Cancer: Predicting Biochemical Recurrence Following Radical Prostatectomy
Autor:
Jihwan Park, Mi Jung Rho, Hyong Woo Moon, Jaewon Kim, Chanjung Lee, Dongbum Kim, Choung-Soo Kim, Seong Soo Jeon, Minyong Kang, Ji Youl Lee
Publikováno v:
Technology in Cancer Research & Treatment, Vol 20 (2021)
Objectives: To develop a model to predict biochemical recurrence (BCR) after radical prostatectomy (RP), using artificial intelligence (AI) techniques. Patients and Methods: This study collected data from 7,128 patients with prostate cancer (PCa) who
Externí odkaz:
https://doaj.org/article/7256a3e3c7ca4ddab4bfa03bcc2fcec0