Research graph
References from Incremental Diagnostic Value of Clinical Information for Large Language Models Across Multiple Organs: Retrospective Study. Local targets link to admitted publications; unresolved targets remain external evidence.
Performance of ChatGPT on a radiology board-style examination: insights into current strengths and limitations
10.1148/radiol.230582 · External reference
From algorithms to operating room: can large language models master China’s attending anesthesiology exam? A cross-sectional evaluation
10.1097/js9.0000000000003406 · External reference
Performance of large language models on medical oncology examination questions
10.1001/jamanetworkopen.2024.17641 · External reference
Accuracy of ChatGPT, Google Bard, and Microsoft Bing for simplifying radiology reports
10.1148/radiol.232561 · External reference
Generative Pre-trained Transformer 4 makes cardiovascular magnetic resonance reports easy to understand
10.1016/j.jocmr.2024.101035 · External reference
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
10.1186/s42492-023-00136-5 · External reference
How AI responds to common lung cancer questions: ChatGPT vs Google Bard
10.1148/radiol.230922 · External reference
Appropriateness of breast cancer prevention and screening recommendations provided by ChatGPT
10.1148/radiol.230424 · External reference
Use of ChatGPT, GPT-4, and Bard to improve readability of ChatGPT’s answers to common questions about lung cancer and lung cancer screening
10.2214/ajr.23.29622 · External reference
Evaluating ChatGPT’s accuracy in lung cancer prevention and screening recommendations
10.1148/ryct.230115 · External reference
Performance of an open-source large language model in extracting information from free-text radiology reports
10.1148/ryai.230364 · External reference
Data extraction from free-text reports on mechanical thrombectomy in acute ischemic stroke using ChatGPT: a retrospective analysis
10.1148/radiol.232741 · External reference
Potential of ChatGPT and GPT-4 for data mining of free-text CT reports on lung cancer
10.1148/radiol.231362 · External reference
Large language models for automated synoptic reports and resectability categorization in pancreatic cancer
10.1148/radiol.233117 · External reference
Use of ChatGPT large language models to extract details of recommendations for additional imaging from free-text impressions of radiology reports
10.2214/ajr.24.32341 · External reference
Evaluating GPT-V4 (GPT-4 with vision) on detection of radiologic findings on chest radiographs
10.1148/radiol.233270 · External reference
Potential of GPT-4 for detecting errors in radiology reports: implications for reporting accuracy
10.1148/radiol.232714 · External reference
Large-scale validation of the feasibility of GPT-4 as a proofreading tool for head CT reports
10.1148/radiol.240701 · External reference
Evaluating GPT4 on impressions generation in radiology reports
10.1148/radiol.231259 · External reference
Constructing a large language model to generate impressions from findings in radiology reports
10.1148/radiol.240885 · External reference
Comparison of a specialized large language model with GPT-4o for CT and MRI radiology report summarization
10.1148/radiol.243774 · External reference
Feasibility of differential diagnosis based on imaging patterns using a large language model
10.1148/radiol.231167 · External reference
Evaluation of GPT large language model performance on RSNA 2023 case of the day questions
10.1148/radiol.240609 · External reference
ChatGPT’s diagnostic performance from patient history and imaging findings on the diagnosis please quizzes
10.1148/radiol.231040 · External reference
Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases
10.1007/s11604-024-01712-2 · External reference
Accuracy of large language models in generating differential diagnosis from clinical presentation and imaging findings in pediatric cases
10.1007/s00247-025-06317-z · External reference
Evaluation of large language models for diagnostic impression generation from brain MRI report findings: a multicenter benchmark and reader study
10.1038/s41746-026-02380-4 · External reference
DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
10.1038/s41586-025-09422-z · External reference
Open-source LLM DeepSeek on a par with proprietary models in clinical decision making
10.1038/s41591-025-03850-0 · External reference
The advantage of DeepSeek in local deployment technology bridges the gap between research and practice
10.1097/js9.0000000000002784 · External reference
Differentiating mass-forming intrahepatic cholangiocarcinoma from atypical hepatocellular carcinoma using Gd-EOB-DTPA-enhanced magnetic resonance imaging combined with serum markers in at-risk patients with hepatitis B virus
10.21037/qims-23-396 · External reference
Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports
10.1038/s41746-025-01488-3 · External reference
“Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation, and mitigation
10.1016/j.jacr.2023.06.025 · External reference
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training
10.1007/s00330-021-07833-w · External reference
Lung cancer in patients who have never smoked - an emerging disease
10.1038/s41571-023-00844-0 · External reference
Diagnostic accuracy and clinical value of a domain-specific multimodal generative AI model for chest radiograph report generation
10.1148/radiol.241476 · External reference
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
10.1016/s2589-7500(23)00225-x · External reference
BI-RADS category assignments by GPT-3.5, GPT-4, and Google Bard: a multilanguage study
10.1148/radiol.232133 · External reference
Large language model ability to translate CT and MRI free-text radiology reports into multiple languages
10.1148/radiol.241736 · External reference
Assessing completeness of clinical histories accompanying imaging orders using adapted open-source and closed-source large language models
10.1148/radiol.241051 · External reference
Leveraging large language models to generate clinical histories for oncologic imaging requisitions
10.1148/radiol.242134 · External reference
