Retrieval-Based Diagnostic Decision Support: Mixed Methods Study

Journals

1. Zheng Y, Yan Y, Chen S, Cai Y, Ren K, Liu Y, Zhuang J, Zhao M. Integrating retrieval-augmented generation for enhanced personalized physician recommendations in web-based medical services: model development study. Frontiers in Public Health 2025;13 View
2. Amugongo L, Mascheroni P, Brooks S, Doering S, Seidel J, Liu X. Retrieval augmented generation for large language models in healthcare: A systematic review. PLOS Digital Health 2025;4(6):e0000877 View
3. Deng L, Chen L, Liu M, Wang X, Qi Y, Shao C, Jiang T. Knowledge from medical ontology can significantly enhance mainstream text embedding models in medical information retrieval. Information Processing & Management 2026;63(2):104435 View
4. Abo El-Enen M, Saad S, Nazmy T. A survey on retrieval-augmentation generation (RAG) models for healthcare applications. Neural Computing and Applications 2025;37(33):28191 View
5. Alexandrou M, Kumar S, Mahtani A, Strepkos D, Carvalho P, Mutlu D, Ser O, Rempakos A, Mastrodemos O, Rangan B, Jalli S, Sandoval Y, Brilakis E. Performance of Large Language Models on the Acute Coronary Syndrome Guidelines Using Retrieval-Augmented Generation. JACC: Cardiovascular Interventions 2025;18(20):2458 View

Conference Proceedings

1. Abdullahi T, Singh R, Eickhoff C. Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval. Retrieval Augmented Zero-Shot Text Classification View
2. Abdullahi T, Gemou I, Nayak N, Murtaza G, Bach S, Eickhoff C, Singh R. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction View