Large language models encode clinical knowledge

Karan Singhal, Shekoofeh Azizi, Tao Tu, +28

Nature

Big Self-Supervised Models Advance Medical Image Classification

Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, +9

2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Few-shot LearningMultiple Instance LearningX-ray ClassificationMachine LearningEngineering +17

Toward expert-level medical question answering with large language models

K. K. Singhal, Tao Tu, Juraj Gottweis, +32

Nature Medicine

Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting

Zili Yi, Qiang Tang, Shekoofeh Azizi, +2

Contextual Residual AggregationEngineeringMachine LearningData-driven ImageImage Analysis +16

Towards Expert-Level Medical Question Answering with Large Language Models

Karan Singhal, Tao Tu, Juraj Gottweis, +28

arXiv (Cornell University)

Large Language Models Encode Clinical Knowledge

Karan Singhal, Shekoofeh Azizi, Tao Tu, +26

arXiv (Cornell University)

Multimedqa Multiple-choice DatasetLlm Fine-tuningEngineeringMultilingual PretrainingLarge Language Model +18

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Shekoofeh Azizi, Laura Culp, Jan Freyberg, +33

Nature Biomedical Engineering

EngineeringMachine LearningMedical ImagingData SciencePattern Recognition +12

Towards conversational diagnostic artificial intelligence

Tao Tu, Mike Schaekermann, Anil Palepu, +23

Nature

Towards accurate differential diagnosis with large language models

Daniel McDuff, Mike Schaekermann, Tao Tu, +24

Nature

Collaboration between clinicians and vision–language models in radiology report generation

Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren, +26

Nature Medicine

Artificial IntelligenceIntelligent DiagnosticsDiagnosisRadiologic EducationBoard-certified Radiologists +16