- Authorship Policy of the Korean Journal of Radiology Regarding Artificial Intelligence Large Language Models Such as ChatGTP
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Park SH
- KMID: 2539635
- Korean J Radiol.
- 2023 Mar;24(3):171-172.
- doi: 10.3348/kjr.2023.0112
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- Strategies and Techniques for Liver Magnetic Resonance Imaging: New and Pending Applications for Routine Clinical Practice
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Ringe KI, Yoon JH
- KMID: 2539638
- Korean J Radiol.
- 2023 Mar;24(3):180-189.
- doi: 10.3348/kjr.2022.0838
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- It is Time to Incorporate Artificial Intelligence in Radiology Residency Programs
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Ng KH, Tan CH
- KMID: 2539637
- Korean J Radiol.
- 2023 Mar;24(3):177-179.
- doi: 10.3348/kjr.2022.1023
With the surge of interest in the development and application of artificial intelligence (AI) in radiology, we propose that know-how on the development and clinical evaluation of AI models needs... -
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- Future Online Radiology Education: The Importance of Curriculum
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Mohamed Shah MTB, Yeong LC, Cheng LTE, Ang J, Lishan Y, Tan K, Tchoyoson Lim CC
- KMID: 2539636
- Korean J Radiol.
- 2023 Mar;24(3):173-176.
- doi: 10.3348/kjr.2023.0029
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- Complications Related to Transarterial Treatment of Hepatocellular Carcinoma: A Comprehensive Review
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Lee HN, Hyun D
- KMID: 2539640
- Korean J Radiol.
- 2023 Mar;24(3):204-223.
- doi: 10.3348/kjr.2022.0395
Currently, various types of transarterial treatments are performed for hepatocellular carcinoma from the early to advanced stages. Its indications and efficacy have been widely investigated. However, procedure-related complications have not... -
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- Magnetic Resonance Imaging Grading Systems for Central Canal and Neural Foraminal Stenoses of the Lumbar and Cervical Spines With a Focus on the Lee Grading System
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Seo J, Lee JW
- KMID: 2539641
- Korean J Radiol.
- 2023 Mar;24(3):224-234.
- doi: 10.3348/kjr.2022.0351
Magnetic resonance imaging (MRI) is a standard imaging modality for diagnosing spinal stenosis, which is a common degenerative disorder in the elderly population. Standardized interpretation of spinal MRI for diagnosing... -
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- Tumor Habitat Analysis Using Longitudinal Physiological MRI to Predict Tumor Recurrence After Stereotactic Radiosurgery for Brain Metastasis
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Lee DH, Park JE, Kim N, Park SY, Kim YH, Cho YH, Kim JH, Kim HS
- KMID: 2539642
- Korean J Radiol.
- 2023 Mar;24(3):235-246.
- doi: 10.3348/kjr.2022.0492
Objective: It is difficult to predict the treatment response of tissue after stereotactic radiosurgery (SRS) because radiation necrosis (RN) and tumor recurrence can coexist. Our study aimed to predict tumor... -
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- Targetoid Primary Liver Malignancy in Chronic Liver Disease: Prediction of Postoperative Survival Using Preoperative MRI Findings and Clinical Factors
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Park SH, Heo S, Kim B, Lee J, Choi HJ, Sung PS, Choi JI
- KMID: 2539639
- Korean J Radiol.
- 2023 Mar;24(3):190-203.
- doi: 10.3348/kjr.2022.0560
Objective: We aimed to assess and validate the radiologic and clinical factors that were associated with recurrence and survival after curative surgery for heterogeneous targetoid primary liver malignancies in patients... -
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- Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial
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Hwang EJ, Goo JM, Nam JG, Park CM, Hong KJ, Kim KH
- KMID: 2539634
- Korean J Radiol.
- 2023 Mar;24(3):259-270.
- doi: 10.3348/kjr.2022.0651
Objective: It is unknown whether artificial intelligence-based computer-aided detection (AI-CAD) can enhance the accuracy of chest radiograph (CR) interpretation in real-world clinical practice. We aimed to compare the accuracy of... -
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- Neuroanatomical Localization of Rapid Eye Movement Sleep Behavior Disorder in Human Brain Using Lesion Network Mapping
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Yuan T, Zuo Z, Xu J
- KMID: 2539643
- Korean J Radiol.
- 2023 Mar;24(3):247-258.
- doi: 10.3348/kjr.2022.0712
Objective: To localize the neuroanatomical substrate of rapid eye movement sleep behavior disorder (RBD) and to investigate the neuroanatomical locational relationship between RBD and α-synucleinopathy neurodegenerative diseases. Materials and Methods: Using... -
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