Article

Fostering transparent medical image AI via an image-text foundation model grounded in medical literature

2023-06-12

Abstract excerpt

Building trustworthy and transparent image-based medical AI systems requires the ability to interrogate data and models at all stages of the development pipeline: from training models to post-deployment monitoring. Ideally, the data and associated AI systems could be described using terms already familiar to physicians, but this requires medical datasets densely annotated with semantically meaningful concepts. Her...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8d49c038-2535-503d-b7ab-010a61456b1e
DOI: 10.1101/2023.06.07.23291119

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Fostering transparent medical image AI via an image-text foundation model grounded in medical literatureDOI 10.1101/2023.06.07.23291119Read

Resource-efficient medical vision language model for dermatology via a synthetic data generation frameworkSemantic proximity Read

Multimodal Large Language Models are Generalist Medical Image InterpretersSemantic proximity Read

Generating clinical-grade pathology reports from gigapixel whole slide images with HistoGPTSemantic proximity Read

A Vision-Language Foundation Model for Zero-shot Clinical Collaboration and Automated Concept Discovery in DermatologySemantic proximity Read

Dissection of medical AI reasoning processes via physician and generative-AI collaborationSemantic proximity Read

SlideFlame: A data-efficient vision-language model for anatomically grounded pathology reportingSemantic proximity Read

AI Performance on Image-based Medical Case Scenarios: A Cross-Sectional Comparative StudySemantic proximity Read

Health system learning achieves generalist neuroimaging modelsSemantic proximity Read

A multi-model study of diagnostic faithfulness in AI-generated histopathology imagesSemantic proximity Read

Towards Generalist Foundation Model for RadiologySemantic proximity Read

QUANTIFYING EXPLAINABLE AI METHODS IN MEDICAL DIAGNOSIS: A STUDY IN SKIN CANCERSemantic proximity Read

An Adaptive Foundation Model with Evidence-based Clinical Reasoning for GastroenterologySemantic proximity Read