S. Sara Mahdavi - Concepedia

Author

S. Sara Mahdavi

Also Known As

Mahdavi, S Sara, Mahdavi, S. Sara, Mahdavi, Sara, S. S. Mahdavi, S. Sara Mahdavi, S.S. Mahdavi, Sara Mahdav, Sara Mahdavi, Sara S. Mahdavi, Semturs, Christopher

Publications

8.1K

Citations

H-Index

Concepts

All Affiliations

University of British Columbia BC Cancer Agency Google (United States)University of British Columbia Hospital The Scarborough Hospital

About

S. Sara Mahdavi is an author at University of British Columbia specializing in engineering, medical imaging, and health sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	17	3.1K
2	Health Sciences	11	12	633
3	Medicine	4	4	255
4	Language Studies	2	2	2.4K
5	Natural Sciences	2	2	24

S. Sara Mahdavi

Publications

7.2K

Citations

H-Index

Page 1

	Year	Citations
Large language models encode clinical knowledge Karan Singhal, Shekoofeh Azizi, Tao Tu, Nature	2023	2.6K
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia, William Chan, Saurabh Saxena, arXiv (Cornell University) EngineeringMachine LearningNatural Language ProcessingPresent ImagenMultimodal Llm	2022	2.1K
Toward expert-level medical question answering with large language models K. K. Singhal, Tao Tu, Juraj Gottweis, Nature Medicine	2025	480
Towards Expert-Level Medical Question Answering with Large Language Models Karan Singhal, Tao Tu, Juraj Gottweis, arXiv (Cornell University)	2023	332
Large Language Models Encode Clinical Knowledge Karan Singhal, Shekoofeh Azizi, Tao Tu, arXiv (Cornell University) Multimedqa Multiple-choice DatasetLlm Fine-tuningEngineeringMultilingual PretrainingLarge Language Model	2022	256
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging Shekoofeh Azizi, Laura Culp, Jan Freyberg, Nature Biomedical Engineering EngineeringMachine LearningMedical ImagingData SciencePattern Recognition	2023	208
Towards conversational diagnostic artificial intelligence Tao Tu, Mike Schaekermann, Anil Palepu, Nature	2025	165
Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images Davood Karimi, Qi Zeng, Prateek Mathur, Medical Image Analysis EngineeringMachine LearningMedical ImagingMedical Image ComputingBiomedical Imaging	2019	119
Towards accurate differential diagnosis with large language models Daniel McDuff, Mike Schaekermann, Tao Tu, Nature	2025	114
Collaboration between clinicians and vision–language models in radiology report generation Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, Nature Medicine Artificial IntelligenceIntelligent DiagnosticsDiagnosisRadiologic EducationBoard-certified Radiologists	2024	101

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