Výsledky vyhledávání - "Seong K. Mun"

Akademický článek

A blockchain-enabled sharing platform for personal health records

Autor: Yibin Dong, Seong K. Mun, Yue Wang

Publikováno v: Heliyon, Vol 9, Iss 7, Pp e18061- (2023)

Background: Longitudinal personal health record (PHR) provides a foundation for managing patients' health care, but we do not have such a system in the U.S. except for the patients in the Department of Veterans Affairs. Such a gap exists mainly in th

Externí odkaz: https://doaj.org/article/30f8a09c2d8c4759b04adaf1b913868e

Zobrazit plný text záznamu

Akademický článek

A DICOM dataset for evaluation of medical image de-identification

Autor: Michael Rutherford, Seong K. Mun, Betty Levine, William Bennett, Kirk Smith, Phil Farmer, Quasar Jarosz, Ulrike Wagner, John Freyman, Geri Blake, Lawrence Tarbox, Keyvan Farahani, Fred Prior

Publikováno v: Scientific Data, Vol 8, Iss 1, Pp 1-8 (2021)

Measurement(s) Deidentification • Clinical Data Technology Type(s) data synthesis • digital curation Factor Type(s) imaging type Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://

Externí odkaz: https://doaj.org/article/6ea118cf2c1c41c4bfc6179019902e85

Zobrazit plný text záznamu

Akademický článek

Automated Error Labeling in Radiation Oncology via Statistical Natural Language Processing

Autor: Indrila Ganguly, Graham Buhrman, Ed Kline, Seong K. Mun, Srijan Sengupta

Publikováno v: Diagnostics, Vol 13, Iss 7, p 1215 (2023)

A report published in 2000 from the Institute of Medicine revealed that medical errors were a leading cause of patient deaths, and urged the development of error detection and reporting systems. The field of radiation oncology is particularly vulnera

Externí odkaz: https://doaj.org/article/127c866aecb94f22b8862010c35c6e2d

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Special Issue: 'Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging'

Autor: Seong K. Mun, Dow-Mu Koh

Publikováno v: Diagnostics, Vol 12, Iss 6, p 1331 (2022)

The radiology imaging community has been developing computer-aided diagnosis (CAD) tools since the early 1990s before the imagination of artificial intelligence (AI) fueled many unbound healthcare expectations and other industries [...]

Externí odkaz: https://doaj.org/article/827806fa8ed64533b921fad2c278b679

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Artificial Intelligence for the Future Radiology Diagnostic Service

Autor: Seong K. Mun, Kenneth H. Wong, Shih-Chung B. Lo, Yanni Li, Shijir Bayarsaikhan

Publikováno v: Frontiers in Molecular Biosciences, Vol 7 (2021)

Radiology historically has been a leader of digital transformation in healthcare. The introduction of digital imaging systems, picture archiving and communication systems (PACS), and teleradiology transformed radiology services over the past 30 years

Externí odkaz: https://doaj.org/article/1773a75469114373aa20dec347f1605e

Zobrazit plný text záznamu