Chang Min Park

Professor

Seoul National University College of Medicine

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Medical Imaging Medical Imaging professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Chang Min Park is a Professor at Seoul National University College of Medicine in South Korea. His research focuses on artificial intelligence applications in radiology, particularly in areas such as thoracic imaging, deep learning for diagnostic purposes, and the clinical implications of AI in radiological practice. Recent publications include studies on the performance of AI in lung nodule detection and the impact of diagnostic delays in lung cancer prognosis.

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (10)

Jason Andrews

Associate Professor

Stanford University School of Medicine

UNITED STATES

View details

Young Tae Kim

Seoul National University Hospital

SOUTH KOREA

View details

Ki Jeong Hong

Clinical professor

Seoul National University College of Medicine

SOUTH KOREA

View details

Nanhee Park

Seoul National University Hospital

SOUTH KOREA

View details

Jin Mo Goo

Professor

Seoul National University College of Medicine

SOUTH KOREA

View details

Jong Hyuk Lee

SOUTH KOREA

View details

Eui Jin Hwang

Seoul National University Hospital

SOUTH KOREA

View details

Yeon-Mok Oh

University of Ulsan College of Medicine

SOUTH KOREA

View details

Sang Min Lee

University of Ulsan College of Medicine

SOUTH KOREA

View details

Soon Ho Yoon

Seoul National University Hospital

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Chang Min Park

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

Demystifying Artificial Intelligence: Understanding Transformer Models for Practicing Radiologists

Association of Deep Learning–based Chest CT–derived Respiratory Parameters with Disease Progression in Amyotrophic Lateral Sclerosis

AI Applications for Thoracic Imaging: Considerations for Best Practice

ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations

Diagnostic Delays, Worse Prognosis: The Importance of Prompt Follow-up in Stage I Lung Cancer

Growth and Clinical Impact of Subsolid Lung Nodules ≥6 mm During Long-Term Follow-Up After Five Years of Stability

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial

Conventional Versus Artificial Intelligence-Assisted Interpretation of Chest Radiographs in Patients With Acute Respiratory Symptoms in Emergency Department: A Pragmatic Randomized Clinical Trial

Effects of Implementing Artificial Intelligence-Based Computer-Aided Detection for Chest Radiographs in Daily Practice on the Rate of Referral to Chest Computed Tomography in Pulmonology Outpatient Clinic

The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs

Effect of Human-AI Interaction on Detection of Malignant Lung Nodules on Chest Radiographs

AI: Workload Reduction by Autonomous Reporting of Normal Chest Radiographs

Evaluation of chest X-ray with automated interpretation algorithms for mass tuberculosis screening in prisons: a cross-sectional study

Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs

Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma

Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs

Collaborators (10)

Jason Andrews

Young Tae Kim

Ki Jeong Hong

Nanhee Park

Jin Mo Goo

Jong Hyuk Lee

Eui Jin Hwang

Yeon-Mok Oh

Sang Min Lee

Soon Ho Yoon

Make your next move.