Large Language Models in Summarizing Radiology Report Impressions for Lung Cancer in Chinese: Evaluation Study

Journals

1. Silva R, Pazin-Filho A. Dataset of anonymized discharge summaries of sepsis patients from a Brazilian tertiary hospital for NLP applications.. Data in Brief 2025;61:111804 View
2. Qiang S, Zhang H, Liao Y, Zhang Y, Gu Y, Wang Y, Xu Z, Shi H, Han N, Yu H. Application of Large Language Models in Stroke Rehabilitation Health Education: 2-Phase Study. Journal of Medical Internet Research 2025;27:e73226 View
3. Salbas A, Buyuktoka R. Performance of Large Language Models in Recognizing Brain MRI Sequences: A Comparative Analysis of ChatGPT-4o, Claude 4 Opus, and Gemini 2.5 Pro. Diagnostics 2025;15(15):1919 View
4. Gertz R, Beste N, Dratsch T, Lennartz S, Bremm J, Iuga A, Bunck A, Laukamp K, Schönfeld M, Kottlors J. From dictation to diagnosis: enhancing radiology reporting with integrated speech recognition in multimodal large language models. European Radiology 2025 View
5. Papageorgiou P, Christodoulou R, Pitsillos R, Petrou V, Vamvouras G, Kormentza E, Papagelopoulos P, Georgiou M. The Role of Large Language Models in Improving Diagnostic-Related Groups Assignment and Clinical Decision Support in Healthcare Systems: An Example from Radiology and Nuclear Medicine. Applied Sciences 2025;15(16):9005 View
6. da Silva R, Pazin-Filho A. The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study. BMC Medical Informatics and Decision Making 2025;25(1) View
7. Li J, Zhou T, Zhou Z, Wei X, Song H, Wang Z, Chen Y, Lv H. Experience-guided multi-agent interpretable framework for radiology report summarization. Computer Methods and Programs in Biomedicine 2026;273:109078 View
8. Ismayilov R, Altundag O, Gencoglu E, Aktas A, Alparslan S, Ozcicek A, Turhanoglu D, Oguz A, Farzaliyeva A, Ramazanoglu M, Kocak M, Akcali Z. Artificial intelligence for immunotherapy response assessment in lung cancer using PET/CT reports. Japanese Journal of Radiology 2025;43(12):2042 View
9. Mohajer-Bastami A, Moin S, Ahmad S, Ahmed A, Pouwels S, Hajibandeh S, Yang W, Parmar C, Kermansaravi M, Khalil M, Khalid A, Khamise A, Rawaf D, Hosseini F, Agarwal A, Lala A, Ahmed S, Patel B, Fyntanidou B, Egan R, Mougiakakou S, Jakob D, Ribordy V, Hautz W, Exadaktylos A. Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise. Frontiers in Digital Health 2025;7 View
10. Ali H, Sumon R, Khalid A, Fathima K, Kim H. A Semantic Evaluation Framework for Medical Report Generation Using Large Language Models. Computers, Materials & Continua 2025;84(3):5445 View
11. Duan Z, Huang X, Lu R, Xu W, Liu H, Geng Y, Takahashi N, Wu Y, Wang Q, Song Y, Xu H, Tang H, Lan F, Eils R, Tan L. Multi-center benchmarking of large language models for clinical decision support in lung cancer screening. Cell Reports Medicine 2025;6(12):102465 View
12. Pesapane F, Nicosia L, Cassano E. The instrument is not the claim: LLMs and responsibility in radiology. European Journal of Radiology Artificial Intelligence 2026;5:100063 View
13. Park S, Park J, Lee T, Kim J, Yoon H, Kim B, Moon B. Unlocking drug development: the distinctive roles of PET and SPECT imaging from molecular kinetics to therapeutic response. Archives of Pharmacal Research 2025 View
14. Shi N, Liu Z, Wan Z, Yang G, Shi Y, Wang P, Liu X. A vision-language model–based approach for lung cancer diagnosis using lossless 3D CT images: evaluation of GPT-4.1 and GPT-4o for patient-level malignancy assessment. Health Information Science and Systems 2025;14(1) View

Conference Proceedings

1. Jammal S. 2025 11th International Conference on Optimization and Applications (ICOA). Large Language Models in Healthcare: A Review View