Ke E. Zou

Singapore, Singapore

Last Updated: 09/26/2026

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Found 13 publications

LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology.

LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology.

Journal: ACM transactions on computing for healthcare

Published: July 11, 2026

Time and person sensitive foundation model for disease prediction and risk stratification.

Time and person sensitive foundation model for disease prediction and risk stratification.

Journal: NPJ digital medicine

Published: October 07, 2025

Can 'Deep Research' agents and general AI agentic systems autonomously perform systematic review and meta-analysis?

Can 'Deep Research' agents and general AI agentic systems autonomously perform systematic review and meta-analysis?

Journal: Eye (London, England)

Published: September 15, 2025

Building the world's first truly global medical foundation model.

Building the world's first truly global medical foundation model.

Journal: Nature medicine

Published: September 08, 2025

Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?

Can a Natural Image-Based Foundation Model Outperform a Retina-Specific Model in Detecting Ocular and Systemic Diseases?

Journal: Ophthalmology science

Published: August 18, 2025

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning.

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning.

Journal: Ophthalmology science

Published: July 31, 2025

Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models.

Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models.

Journal: JAMA ophthalmology

Published: July 31, 2025

Understanding the robustness of vision-language models to medical image artefacts.

Understanding the robustness of vision-language models to medical image artefacts.

Journal: NPJ digital medicine

Published: July 12, 2025

Agentic artificial intelligence in eye care: is clinical autonomy finally within reach?

Agentic artificial intelligence in eye care: is clinical autonomy finally within reach?

Journal: The Lancet. Digital health

Published: June 22, 2025

Reasoning-driven large language models in medicine: opportunities, challenges, and the road ahead.

Reasoning-driven large language models in medicine: opportunities, challenges, and the road ahead.

Journal: The Lancet. Digital health

Published: March 19, 2025

Understanding pre-training data effects in retinal foundation models using two large fundus cohorts.

Understanding pre-training data effects in retinal foundation models using two large fundus cohorts.

Journal: Nature communications

Published: March 15, 2025

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

Journal: The Lancet. Digital health

Published: January 09, 2025

Showing 1-12 of 13

Last Updated: 09/26/2026