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The latest research from Google

Computer-aided diagnosis for lung cancer screening

Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduces the chances of survival. Lung cancer screening via computed tomography (CT), which provides a detailed 3D image of the lungs, has been shown to reduce mortality in high-risk populations by at least 20% by detecting potential signs of cancers earlier. In the US, screening involves annual scans, with some countries or cases recommending more or less frequent scans.

Using AI to expand global access to reliable flood forecasts

ScreenAI: A visual language model for UI and visually-situated language understanding

SCIN: A new resource for representative dermatology images

MELON: Reconstructing 3D objects from images with unknown poses

HEAL: A framework for health equity assessment of machine learning performance

Cappy: Outperforming and boosting large multi-task language models with a small scorer

Talk like a graph: Encoding graphs for large language models

Chain-of-table: Evolving tables in the reasoning chain for table understanding

Health-specific embedding tools for dermatology and pathology

Social learning: Collaborative learning with large language models