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

Defining operational safety in clinical artificial intelligence systems

定义临床人工智能系统中的运行安全

Kim, Young-Tak; Kim, Hyunji; Bahl, Manisha; Lev, Michael H; González, Ramon Gilberto; Gee, Michael S; Do, Synho

A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease

用于预测甲状腺眼病患者对替普鲁单抗治疗反应的深度学习框架

Langarica, Saul; Lee, Nahyoung Grace; Alkhadrawi, Adham M; Kim, Young-Tak; Ha, Sierra K; Do, Synho; Lin, Lisa Y

Unraveling the diagnostic and prognostic signatures of oral microbiota in head and neck cancer

揭示口腔微生物群在头颈癌诊断和预后中的作用

Sung, Hojun; Hyun, Dong-Wook; Whon, Tae Woong; Kim, Pil Soo; Kim, Hyun Sik; Lee, Jae-Yun; Lee, So-Yeon; Choi, Jee-Won; Yoo, Ji-Ho; Jung, Mi-Ja; Yun, Ji-Hyun; Lee, June-Young; Tak, Euon Jung; Jeong, Yun-Seok; Kim, Seung Woo; Baeg, Moonseung; Eun, Young-Gyu; Lee, Young Chan; Bae, Jin-Woo

Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules

通过数据驱动的决策规则,为物质使用障碍患者提供个性化的生态瞬时干预。

Kwon, Mina; Song, Joo Yun; Hwang, Jae Yeon; Seong, Su Jeong; Park, Kee Jeong; Jo, Young Tak; Kim, Yeo Jin; Ahn, Moo Eob; Lee, Sang-Kyu

Burnout and Depression of Medical Faculty: After Mass Resignation of Junior Doctors in Korea

韩国年轻医生集体辞职后,医务人员的职业倦怠和抑郁症问题日益凸显。

Seong, Su Jeong; Hwang, Jae Yeon; Song, Joo Yun; Park, Kee Jeong; Jo, Young Tak; Lee, Ju-Hun; Park, Dae-Gyun

Diagnostic Utility of FAR1 Methylation Levels in Hepatocellular Carcinoma Patients Undergoing Liver Transplantation

FAR1甲基化水平在接受肝移植的肝细胞癌患者中的诊断价值

Na, Byeong-Gon; Hwang, Shin; Han, Jinil; Jung, Dong-Hwan; Song, Gi-Won; Lee, Yun Young; Tak, Eunyoung; Lee, Kyoung-Jin; Kim, Yun-Kyu

ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume

ARANet:用于基于磁共振成像的胎儿大小和羊水量精确分割与量化的自适应分辨率注意力网络

Alkhadrawi, Adham M; Peña-Trujillo, Valeria; Gallo-Bernal, Sebastian; Gee, Michael S; Cobos, Camilo E Jaimes; Kim, Kyungsu; Langarica, Saul; Kim, Young-Tak; Victoria, Teresa; Do, Synho

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma

一种基于血清外泌体microRNA的人工智能诊断模型,可高精度检测肝细胞癌

Hwang, Jin-Seong; Lee, Sugi; Kim, Gyeonghwa; Jeong, Hoibin; Kwon, Kiyoon; Jung, Eunsun; Roh, Yuna; Son, Taesang; Lee, Hana; Lee, Moo-Seung; Oh, Kyoung-Jin; Lee, Hye Won; Lee, Yu Rim; Park, Soo Young; Tak, Won Young; Ban, Hyun Seung; Cho, Hyun-Soo; Son, Mi-Young; Kim, Jang-Seong; Hur, Keun; Kim, Dae-Soo; Han, Tae-Su

Response to 'Methodological and statistical concerns in MINERVA microbiome-disease knowledge graph' by Salvatore Chirumbolo

对 Salvatore Chirumbolo 的文章“MINERVA 微生物组-疾病知识图谱中的方法学和统计学问题”的回应

Langarica, Saul; Kim, Young-Tak; Alkhadrawi, Adham; Kim, Jung Bin; Do, Synho

MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations

MINERVA——微生物组网络研究与可视化图谱:用于绘制微生物组-疾病关联的可扩展知识图谱

Langarica, Saul; Kim, Young-Tak; Alkhadrawi, Adham; Kim, Jung Bin; Do, Synho