Yoo Jin Lee

ORCID: 0009-0008-2348-2520
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About
Contact & Profiles
Research Areas
  • Artificial Intelligence in Healthcare and Education
  • Cardiac Valve Diseases and Treatments
  • Cardiac pacing and defibrillation studies
  • Radiology practices and education
  • Radiomics and Machine Learning in Medical Imaging
  • Cardiac Arrhythmias and Treatments
  • Cultural and Historical Studies
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Cardiovascular Function and Risk Factors
  • Respiratory Support and Mechanisms
  • Consumer Perception and Purchasing Behavior

University of California, San Francisco
2023-2025

Columbia University
2025

Johns Hopkins University
2025

University of California, Los Angeles
2025

Resonance Research (United States)
2025

Wake Forest University
2025

University of Illinois Chicago
2025

Cornell University
2025

BACKGROUND: Patients with arrhythmogenic mitral valve prolapse syndrome are at increased risk for life-threatening ventricular arrhythmias, but studies have been limited by small sample sizes. We sought to assemble an international registry delineate the clinical, imaging, and treatment characteristics of patients who survived sudden cardiac arrest (SCA) or had sustained tachycardia (VT) fibrillation. METHODS: In this descriptive registry, we characterized SCA, VT, Deidentified data were...

10.1161/circep.124.013099 article EN Circulation Arrhythmia and Electrophysiology 2025-02-20

Abstract Background The impression section integrates key findings of a radiology report but can be subjective and variable. We sought to fine-tune evaluate an open-source Large Language Model (LLM) in automatically generating impressions from the remainder across different imaging modalities hospitals. Methods In this institutional review board-approved retrospective study, we collated dataset CT, US, MRI reports University California San Francisco Medical Center (UCSFMC) ( n = 372,716)...

10.1186/s12880-024-01435-w article EN cc-by BMC Medical Imaging 2024-09-27

<title>Abstract</title> Background The impression section integrates key findings of a radiology report but can be subjective and variable. A fine-tuned open-source Large Language Model (LLM) was evaluated in its ability to generate radiological impressions across different imaging modalities hospitals. We sought clinically validate an LLM that automatically generates summarize reports. Methods In this institutional review board-approved retrospective study, we the from remainder report. CT,...

10.21203/rs.3.rs-4656707/v1 preprint EN cc-by Research Square (Research Square) 2024-08-01

ABSTRACT Background Patients with the arrhythmogenic mitral valve prolapse syndrome (AMVPS) are at increased risk for life-threatening ventricular arrhythmias (VAs), but studies have been limited by small sample sizes. We sought to assemble an international AMVPS registry delineate clinical, imaging, treatment characteristics, and factors sudden cardiac arrest (SCA). Methods retrospectively identified two groups of subjects AMVPS: 1) MVP-SCA group SCA, sustained tachycardia (VT),...

10.1101/2023.10.06.23296682 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-10-07
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