서배선 교수
Bae-Sun Seo
연세대학교 영상의학과 · 의학
연구실 소개
서배선 교수의 연구실은 의료 영상과 인공지능 기반 진단 지원 시스템 개발에 초점을 맞추고 있습니다. 특히 GPT-4V, Gemini Pro Vision과 같은 대규모 언어 모델이 영상 및 텍스트 입력을 통해 진단 정확도를 향상시키는 임상적 잠재력을 탐색하고 있으며, 뇌영상 분석을 통한 알츠하이머병 및 파킨슨병 진단의 정밀성 향상에도 기여하고 있습니다. 또한, MRI 영상의 고해상도 분석 및 자동 분할 기술을 활용해 뇌 부피 측정과 신경퇴행성 질환의 조기 진단 및 진행도 예측에 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15= .02). Radiologists (range, 45%-88%) outperformed the LLMs at T1 (range, 24%-75%) in most subspecialties. Conclusion Using direct radiologic image inputs, GPT-4V and Gemini Pro Vision showed improved diagnostic accuracy with increasing temperature settings. Although GPT-4V slightly underperformed compared with radiologists, it nonetheless demonstrated promising potential as a supportive tool in diagnostic decision-making. © RSNA, 2024 See also the editorial by Nishino and Ballard in this issue.
< .001). Text input length affected LLM accuracy (odds ratio range, 3.2 [95% CI: 1.9, 5.5] to 6.6 [95% CI: 3.7, 12.0]). Conclusion LLMs demonstrated substantial accuracy with text and image inputs, outperforming a medical student. However, their accuracy decreased with shorter text lengths, regardless of image input. © RSNA, 2024
OBJECTIVES: Decreased fertility and impaired health owing to early menopause are significant health issues. Smoking is a modifiable health-related behavior that influences menopausal age. We investigated the effects of smoking-associated characteristics on menopausal age in Korean women. METHODS: This study used data from the Korea National Health and Nutrition Examination Survey from 2007 to 2012. Menopausal age in relation to smoking was analyzed as a Kaplan-Meier survival curve for 11 510 wom
The use of 1.5-mm MRI + DLR enhanced the performance of MRI in diagnosing TLE, particularly in hippocampal evaluation, because of improved depiction of hippocampal abnormalities and enhanced image quality.
Background and purpose: To develop and validate a deep learning-based automatic segmentation model for assessing intracranial volume (ICV) and to compare the accuracy determined by NeuroQuant (NQ), FreeSurfer (FS), and SynthSeg. Materials and methods: This retrospective study included 60 subjects [30 Alzheimer's disease (AD), 21 mild cognitive impairment (MCI), 9 cognitively normal (CN)] from a single tertiary hospital for the training and validation group (50:10). The test group included 40 sub
The lens radiation dose was significantly affected by table height adjustment during 3D-RA. Intentional head off-centering by elevation of the table is a simple and effective way to reduce the lens dose in clinical practice.
Our deep learning-based model proves rapid, accurate automatic quantification of nigral hyperintensity, facilitating IPD diagnosis, symptom severity prediction, and patient stratification for personalized therapy. Further study is warranted to validate the findings across various clinical settings.
This study assesses the diagnostic performance of six LLMs -GPT-4v, GPT-4o, Gemini 1.5 Pro, Gemini 1.5 Flash, Claude 3.0, and Claude 3.5-on complex neurology cases from JAMA Neurology and JAMA, focusing on their image interpretation abilities. We selected 56 radiology cases from JAMA Neurology and JAMA (from May 2015 to April 2024), rephrasing the text and reshuffling multiple-choice answer. Each LLM processed four input types: original quiz with images, rephrased text with images, rephrased tex
PD-MRA outperformed HR-MRA in diagnostic accuracy and demonstrated almost perfect inter-reader consistency in identifying intracranial aneurysms among patients with lesions initially indeterminate on CTA or MRA.
OBJECTIVES: Our systematic review aimed to evaluate the quality of reporting in research articles involving LLMs in the radiology field. MATERIALS AND METHODS: After searching the PubMed-MEDLINE and EMBASE databases, a total of 246 eligible studies published between November 30, 2022, and December 31, 2024, were included. The analysis assessed the percentage of studies adhering to key elements required for LLM research, based on the MInimum reporting items for CLear Evaluation of Accuracy Report
Agenesis of the dorsal pancreas (ADP) is an extremely rare congenital anomaly. Human pancreas is formed by ventral and dorsal endodermal buds of the foregut endoderm. The dorsal bud forms the upper part of the head, neck, body, and tail of the pancreas and the ventral bud generates most of the head and uncinate process. ADP is derived from the embryologic failure of the dorsal pancreatic bud to form the pancreatic body and tail. ADP can be related to some diseases and conditions such as pancreat
Purpose: To assess the venographic findings of central venous abnormalities before exchanging dysfunctional tunneled hemodialysis catheters and the outcome of endovascular salvage techniques. Materials and Methods: A total of 110 episodes of tunneled hemodialysis catheter dysfunction in 78 patients undergoing catheter-directed hemodialysis treatment from January 2011 to December 2015 were retrospectively evaluated. Venography was performed before catheter exchange, and the following procedures w
Importance: Ethanol ablation (EA) was shown to be safe and effective for treating ranula, but few studies have assessed long-term outcomes and recurrence of ranula after EA. Objective: To evaluate the long-term outcomes and the risk factors for recurrence and receipt of subsequent surgery in patients who underwent treatment with EA for ranula. Design, Setting, and Participants: This case-series study was conducted at a single tertiary hospital and assessed patients who were treated with EA betwe
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