Chong Hyun Suh
Ulsan College · KR
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Comparing Diagnostic Accuracy of Radiologists versus GPT-4V and Gemini Pro Vision Using Image Inputs from Diagnosis Please Cases
2024 · 70 Zit. · Radiology
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM)
2024 · 45 Zit. · Korean Journal of Radiology
Comparing Large Language Model and Human Reader Accuracy with <i>New England Journal of Medicine</i> Image Challenge Case Image Inputs
2024 · 31 Zit. · Radiology
Reporting Guidelines for Artificial Intelligence Studies in Healthcare (for Both Conventional and Large Language Models): What’s New in 2024
2024 · 23 Zit. · Korean Journal of Radiology
Insufficient Transparency in Stochasticity Reporting in Large Language Model Studies for Medical Applications in Leading Medical Journals
2024 · 11 Zit. · Korean Journal of Radiology
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates
2025 · 5 Zit. · Korean Journal of Radiology
Reporting Quality of Research Studies on AI Applications in Medical Images According to the CLAIM Guidelines in a Radiology Journal With a Strong Prominence in Asia
2023 · 5 Zit. · Korean Journal of Radiology
Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes
2025 · 2 Zit. · Korean Journal of Radiology
Evaluating diagnostic accuracy of large language models in neuroradiology cases using image inputs from JAMA neurology and JAMA clinical challenges
2025 · 1 Zit. · Scientific Reports
Evolving Multimodal Large Language Models in Radiology: A Year of Diagnostic Progress
2025 · 1 Zit. · Radiology
Temperature Setting of a Multimodal Generative Artificial Intelligence Model: Association With Accuracy and Quality of Artificial Intelligence–Generated Chest Radiograph Reports
2025 · 0 Zit. · American Journal of Roentgenology
Do General-Purpose Multimodal Large Language Models Really See Radiologic Images or Rely on Text?
2026 · 0 Zit. · Korean Journal of Radiology
Evaluating guideline adherence in LLM studies using LLMs
2026 · 0 Zit. · Japanese Journal of Radiology
Past, Present, and Future of the Radiology Board Examination: Transition Toward Assessment of Actual Reading Ability
2025 · 0 Zit. · Journal of the Korean Society of Radiology
Evaluating the Accuracy and Diagnostic Reasoning of Multimodal Large Language Models in Interpreting Neuroradiology Cases From <i>RadioGraphics</i>
2026 · 0 Zit. · Korean Journal of Radiology