Langlotz, Curtis P.

Learning to Summarize Radiology Findings

Zhang, Y., Ding, D. Y., Qian, T., Manning, C. D., & Langlotz, C. P. (2018) · Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 126

Generative artificial intelligence in medicine

Teo, Z. L., Thirunavukarasu, A. J., Elangovan, K., Cheng, H., Moova, P., Soetikno, B., Nielsen, C., Pollreisz, A., Ting, D. S. J., Morris, R. J. T., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 119

Biomedical and clinical English model packages for the Stanza Python NLP library

Zhang, Y., Zhang, Y., Qi, P., Manning, C. D., & Langlotz, C. P. (2021) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesNatural Language Processing Techniques

Cited by 112

A vision–language foundation model for the generation of realistic chest X-ray images

Bluethgen, C., Chambon, P., Delbrouck, J.-B., van der Sluijs, R., Połacin, M., Zambrano Chaves, J. M., Abraham, T. M., Purohit, S., Langlotz, C. P., & Chaudhari, A. S. (2024) · Nature Biomedical Engineering

Generative Adversarial Networks and Image SynthesisArtificial Intelligence in Healthcare and Education

Cited by 108

The Project Baseline Health Study: a step towards a broader mission to map human health

Arges, K., Assimes, T., Bajaj, V., Balu, S., Bashir, M. R., Beskow, L., Blanco, R., Califf, R., Campbell, P., Carin, L., et al. (2020) · npj Digital Medicine

Health, Environment, Cognitive AgingArtificial Intelligence in Healthcare and Education

Cited by 82

Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards

Delbrouck, J.-B., Chambon, P., Bluethgen, C., Tsai, E., Almusa, O., & Langlotz, C. P. (2022) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 63

Radiologist Use of and Perceived Need for Patient Data Access

Boonn, W. W., & Langlotz, C. P. (2009) · Journal of Digital Imaging

Radiology practices and educationElectronic Health Records Systems

Cited by 60

GREEN: Generative Radiology Report Evaluation and Error Notation

Ostmeier, S., Xu, J., Chen, Z., Varma, M., Blankemeier, L., Bluethgen, C., Md, A. E. M., Moseley, M., Langlotz, C., Chaudhari, A. S., et al. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies

Cited by 59

The Future of AI and Informatics in Radiology: 10 Predictions

Langlotz, C. P. (2023) · Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 56

A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings

Zambrano Chaves, J. M., Huang, S.-C., Xu, Y., Xu, H., Usuyama, N., Zhang, S., Wang, F., Xie, Y., Khademi, M., Yang, Z., et al. (2025) · Nature Communications

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 45

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Jain, S., Agrawal, A., Saporta, A., Truong, S. Q., Nguyen Duong, D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., et al. (2021) · PhysioNet

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 34

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

Van Veen, D., Van Uden, C., Attias, M., Pareek, A., Bluethgen, C., Polacin, M., Chiu, W., Delbrouck, J.-B., Zambrano Chaves, J., Langlotz, C., et al. (2023) · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 25

CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats

Chambon, P., Delbrouck, J.-B., Sounack, T., Huang, S.-C., Chen, Z., Varma, M., Truong, S. Q., Chuong, C. T., & Langlotz, C. P. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 8

Effects of Real-Time Notification of AI-Detected Incidental Coronary Artery Calcium on Statin Prescription: The NOTIFY-PICTURE Trial

Dudum, R., Jain, S. S., Mastrodicasa, D., Furst, A., Xu, S., Ngo, S., Eng, D., Khandwala, N., Sousa, D., Chaudhari, A., et al. (2026) · Circulation

Cardiac Imaging and DiagnosticsLipoproteins and Cardiovascular Health

Cited by 5

RaLEs: a Benchmark for Radiology Language Evaluations

Chaves, J. Z., Bhaskhar, N., Attias, M., Delbrouck, J.-B., Rubin, D., Loening, A., Langlotz, C., & Chaudhari, A. (2023) · Advances in Neural Information Processing Systems 36

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 0

Prognostication and clinical opportunities with AI for coronary artery calcium: a scoping review

McDonald, V. J. F., Parsa, S., Mastrodicasa, D., Rodriguez, F., Langlotz, C., Maron, D. J., Sandhu, A. T., Dudum, R., & Jain, S. S. (2026) · BMJ Digital Health & AI

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 0