日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Leveraging Large-Scale Public Data for Artificial Intelligence-Driven Chest X-Ray Analysis and Diagnosis

利用大规模公共数据进行人工智能驱动的胸部X光分析和诊断

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics16010146
Khan, Farzeen Khalid; Tahir, Waleed Bin; Lee, Mu Sook; Kim, Jin Young; Byon, Shi Sub; Pi, Sun-Woo; Lee, Byoung-Dai
发表日期：2026
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Semiautomated breast ultrasound report generation using multimodal large language models and deep learning

基于多模态大型语言模型和深度学习的半自动乳腺超声报告生成

期刊:Frontiers in Medicine
影响因子:3
doi:10.3389/fmed.2026.1679203
Azhar, Khadija; Lee, Byoung-Dai; Byon, Shi Sub; Lee, SeungJae; Cho, Kyu Ran; Song, Sung Eun
发表日期：2026
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An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT

基于SNOMED CT的端到端自动化脊柱侧弯诊断流程，并提供标准化的临床报告。

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-01952-w
Shahid, Abdullah; Kim, Jeonghoon; Byon, Shi Sub; Hong, SungHyuk; Lee, Inyong; Lee, Byoung-Dai
发表日期：2025
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis

人工智能驱动的结构化多模态乳腺超声报告合成：整合放射科医生标注和深度学习分析

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering11090890
Azhar, Khadija; Lee, Byoung-Dai; Byon, Shi Sub; Cho, Kyu Ran; Song, Sung Eun
发表日期：2024
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Automated assessment of pelvic radiographs using deep learning: A reliable diagnostic tool for pelvic malalignment

利用深度学习自动评估骨盆X光片：一种可靠的骨盆错位诊断工具

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2024.e29677
Moon, Ki-Ryum; Byon, Shi Sub; Kim, Sung Hyun; Lee, Byoung-Dai
发表日期：2024
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