Gatidis, Sergios
Stanford Medicine · Stanford University
8 papers on CoChatORCID 0000-0002-6928-4967
Most cited papers
- Verified
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Veen, D. V., Uden, C. V., Blankemeier, L., Delbrouck, J.-B., Aali, A., Bluethgen, C., Pareek, A., Polacin, M., Reis, E. P., Seehofnerova, A., et al. (2023) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 892
- Verified
Adapted large language models can outperform medical experts in clinical text summarization
Van Veen, D., Van Uden, C., Blankemeier, L., Delbrouck, J.-B., Aali, A., Bluethgen, C., Pareek, A., Polacin, M., Reis, E. P., Seehofnerová, A., et al. (2024) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 891
- Verified
Simultaneous whole-body PET/MR imaging in comparison to PET/CT in pediatric oncology: Initial results
Schäfer, J. F., Gatidis, S., Schmidt, H., Gückel, B., Bezrukov, I., Pfannenberg, C. A., Reimold, M., Ebinger, M., Fuchs, J., Claussen, C. D., et al. (2014) · Radiology
Medical Imaging Techniques and ApplicationsAdvanced MRI Techniques and Applications
Cited by 215
- Verified
Automated reference-free detection of motion artifacts in magnetic resonance images
Küstner, T., Liebgott, A., Mauch, L., Martirosian, P., Bamberg, F., Nikolaou, K., Yang, B., Schick, F., & Gatidis, S. (2018) · Magnetic Resonance Materials in Physics Biology and Medicine
Advanced MRI Techniques and ApplicationsMedical Image Segmentation Techniques
Cited by 102
- Verified
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 66
- Verified
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Fleming, S. L., Lozano, A., Haberkorn, W. J., Jindal, J. A., Reis, E. P., Thapa, R., Blankemeier, L., Genkins, J. Z., Steinberg, E., Nayak, A., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 65
- Verified
Holistic evaluation of large language models for medical tasks with MedHELM
Bedi, S., Cui, H., Fuentes, M., Unell, A., Wornow, M., Banda, J. M., Kotecha, N., Keyes, T., Mai, Y., Oez, M., et al. (2026) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 59
- Verified
A dataset and benchmark for hospital course summarization with adapted large language models
Aali, A., Van Veen, D., Arefeen, Y. I., Hom, J., Bluethgen, C., Reis, E. P., Gatidis, S., Clifford, N., Daws, J., Tehrani, A. S., et al. (2025) · Journal of the American Medical Informatics Association
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 32
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