A5018284661- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Liver Disease Diagnosis and Treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Diverse Topics in Contemporary Research
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- HIV/AIDS Research and Interventions
- Computational and Text Analysis Methods
- HIV/AIDS Impact and Responses
- Medical Imaging and Analysis
- Spinal Fractures and Fixation Techniques
- Liver Disease and Transplantation
- Asian Culture and Media Studies
- Ultrasound Imaging and Elastography
- Global Maternal and Child Health
- Spine and Intervertebral Disc Pathology
- MRI in cancer diagnosis
- Proteoglycans and glycosaminoglycans research
Seoul National University Hospital
2016-2025
Seoul National University
2018
<h3>Importance</h3> The improvement of pulmonary nodule detection, which is a challenging task when using chest radiographs, may help to elevate the role radiographs for diagnosis lung cancer. <h3>Objective</h3> To assess performance deep learning–based detection algorithm cancer on from participants in National Lung Screening Trial (NLST). <h3>Design, Setting, and Participants</h3> This diagnostic study used data NLST ro artificial intelligence (AI) nodules separate training (in-house)...
<h3>BACKGROUND AND PURPOSE:</h3> Deep learning (DL)-based reconstruction enables improving the quality of MR images acquired with a short scan time. We aimed to prospectively compare image and diagnostic performance in evaluating cervical degenerative spine diseases myelopathy between conventional MRI accelerated commercially available vendor-neutral DL-based reconstruction. <h3>MATERIALS METHODS:</h3> Fifty patients disease or underwent both by using operating within DICOM domain. The were...
This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. retrospective included 46 patients who underwent conventional accelerated, pre- post-contrast, 3D 3T scanner (SIGNA Premier; GE HealthCare) at single tertiary referral center between March 1, 2023, April 30, 2023. Conventional scans were reconstructed intensity Filter A (Conv), whereas...
This study aimed to investigate the feasibility of using artificial intelligence (AI) identify normal chest radiography (CXR) from worklist radiologists in a health-screening environment.This retrospective simulation was conducted CXRs 5887 adults (mean age ± standard deviation, 55.4 11.8 years; male, 4329) three health screening centers South Korea commercial AI (Lunit INSIGHT CXR3, version 3.5.8.8). Three board-certified thoracic reviewed CXR images for referable abnormalities and grouped...
Objective: To prospectively compare technical success rate and reliable measurements of virtual touch quantification (VTQ) elastography point (ElastPQ), to correlate liver stiffness (LS) obtained by the two techniques.Materials Methods: Our study included 85 patients, 80 whom were previously diagnosed with chronic disease.The kinds shear wave (pSWE) techniques compared χ 2 analysis.LS values measured using correlated via Wilcoxon signed-rank test, Spearman correlation coefficient, 95%...
Objective: To evaluate the diagnostic value of T2* mapping using 3D multi-echo Dixon gradient echo acquisition on gadoxetic acid-enhanced liver magnetic resonance imaging (MRI) as a tool to hepatic function.Materials and Methods: This retrospective study was approved by IRB requirement informed consent waived.242 patients who underwent MRIs, including fast gradient-recalled (GRE) sequence at 3T, before after administration acid, were included.Based clinico-laboratory manifestation,...
We investigated whether mortality risk increases with the number of full-term pregnancies in HIV-infected women. Our study is based on data from ACDIS cohort, collected rural KwaZulu-Natal, South Africa. Mortality for different women was analyzed using Cox proportional hazards model. The TB or AIDS HIV-uninfected did not change pregnancies, while corresponding increased markedly 1.48-fold (95% CI 1.25-1.75), 1.76-fold 1.45-2.13), and 1.59-fold 1.31-1.94) one, two, three more compared to...
e21529 Background: Inter-tumoral genomic heterogeneity cause various immune status in tumor microenvironment, which may lead to indiscriminate response checkpoint inhibitor (ICI) patients with multiple lesions. Therefore, PD-L1 from practically approachable, single lesion would not be always representative for of whole metastatic lesions a patient. To solve inter-tumoral issue before biopsy clinic, we developed deep-learning based CT biomarker predicting status, then explored if the...
이 논문에서는 멀티미디어 플랫폼 환경에서 새롭게 부상하고 있는 인터액티브(interactive) 다큐멘터리는 무엇이고 어떤 기준으로 새로운 콘텐츠를 이해할 수 있는지를 구체적인 사례를 통해 살펴보고자 했다. 이를 위해, 포토저널리즘 분야에서 세계적으로 가장 영향력 수상단체 중 하나인 < World Press Photo >에서 8년(2014-2121년) 동안 인터액티브 스토리텔링 부분의 수상후보에 오른 총 31편의 다큐멘터리의 내용과 구조를 살펴보았다. 그 후 이들 구조적 특성에 따라 하이퍼텍스트(hypertext), 참여(participative) 그리고 실감(immersive) 콘텐츠로 구분하였고, 장르의 특성을 넓은 의미로는 콘텐츠, 좁은 현황과 시사점에 대한 논의를 전개하고자 했다