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2026/6/28
From Rare Disease Diagnosis to Learning Health Systems: Generative AI Enters Clinical Practice
June's healthcare AI advances highlight a major shift from benchmark performance toward real-world clinical implementation. Landmark studies demonstrated AI-assisted diagnosis of rare diseases, specialist-level diagnostic support, longitudinal disease management, knowledge-grounded LLMs, clinically aligned fine-tuning, and human-AI collaboration. Together, these developments point toward AI-native Learning Health Systems that continuously improve diagnosis through routine clinical care. We also discuss the next frontier: how to generate prospective evidence showing that GenAI can help ordinary physicians diagnose rare diseases earlier at scale.
2025/12/15
At the Chen Institute’s AI Accelerated Science Symposium on October 28, 2025, ELHS Institute founder Dr. AJ Chen proposed a new vision for Open Clinical AI Science (OCAIS) to accelerate the clinical impact of generative AI. The framework delivers free GenAI-based disease prediction services to clinical teams worldwide, including low-resource settings, enabling large-scale participation in clinical evidence generation. By converging GenAI with task-specific Learning Health System units, this approach aims to shorten evidence-generation timelines from decades to years and help prevent GenAI from repeating past failures in health care innovation.
2025/10/25
Dr. AJ Chen delivered a keynote at the Tsinghua Health AI Summit on converging generative AI (GenAI) and Learning Health Systems (LHS) to improve clinical diagnosis and reduce global health disparities. He presented the ELHS Institute’s ML-enabled LHS framework, supported by Nature- and JAMIA-published studies, showing how GenAI embedded in LHS units can enable scalable, responsible evidence generation and democratize high-standard predictive care worldwide.
