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20112024
most citedEfficient Estimation of Word Representations in Vector Space

25.8k citations · 60.8k across the 52 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.LG2024★ 3 cited

General Geospatial Inference with a Population Dynamics Foundation Model

Mohit Agarwal, Mimi Sun, Chaitanya Kamath +31

Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex rel…

cs.CV2024★ 2 cited

PathAlign: A vision-language model for whole slide images in histopathology

Faruk Ahmed, Andrew Sellergren, Lin Yang +14

Microscopic interpretation of histopathology images underlies many important diagnostic and treatment decisions. While advances in vision-language modeling raise new opportunities…

cs.AI2024★ 13 cited

Towards a Personal Health Large Language Model

Justin Cosentino, Anastasiya Belyaeva, Xin Liu +31

In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich,…

cs.LG2024★ 9 cited

HeAR -- Health Acoustic Representations

Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng +15

Health acoustic sounds such as coughs and breaths are known to contain useful health signals with significant potential for monitoring health and disease, yet are underexplored in…

cs.CY2024★ 99 cited

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27

Large language models (LLMs) hold promise to serve complex health information needs but also have the potential to introduce harm and exacerbate health disparities. Reliably evalua…

cs.CY2024★ 22 cited

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset

Abbi Ward, Jimmy Li, Julie Wang +17

Background: Health datasets from clinical sources do not reflect the breadth and diversity of disease in the real world, impacting research, medical education, and artificial intel…

eess.IV2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong +23

Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little i…

cs.AI2024★ 100 cited

Towards Conversational Diagnostic AI

Tao Tu, Anil Palepu, Mike Schaekermann +22

At the heart of medicine lies the physician-patient dialogue, where skillful history-taking paves the way for accurate diagnosis, effective management, and enduring trust. Artifici…