This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Substance Abuse (530) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (708) Natural Language Processing (917) Harm Reduction Approaches (39)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66220, first published .
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

Authors of this article:

Sudeshna Das1 Author Orcid Image ;   Yao Ge1 Author Orcid Image ;   Yuting Guo1 Author Orcid Image ;   Swati Rajwal2 Author Orcid Image ;   JaMor Hairston1 Author Orcid Image ;   Jeanne Powell1 Author Orcid Image ;   Drew Walker1 Author Orcid Image ;   Snigdha Peddireddy3 Author Orcid Image ;   Sahithi Lakamana1 Author Orcid Image ;   Selen Bozkurt1 Author Orcid Image ;   Matthew Reyna1 Author Orcid Image ;   Reza Sameni1, 4 Author Orcid Image ;   Yunyu Xiao5 Author Orcid Image ;   Sangmi Kim6 Author Orcid Image ;   Rasheeta Chandler6 Author Orcid Image ;   Natalie Hernandez7 Author Orcid Image ;   Danielle Mowery8 Author Orcid Image ;   Rachel Wightman9 Author Orcid Image ;   Jennifer Love10 Author Orcid Image ;   Anthony Spadaro11 Author Orcid Image ;   Jeanmarie Perrone12 Author Orcid Image ;   Abeed Sarker1, 4 Author Orcid Image
Article Authors Cited by (7) Tweetations (8) Metrics

Journals

  1. Wang Y, Wan Y, Lei X, Chen Q, Hu H. A retrieval augmented generation based optimization approach for medical knowledge understanding and reasoning in large language models. Array 2025;28:100504 View
  2. Parameswaran V, Bernard J, Bernard A, Deo N, Tsung S, Lyytinen K, Sharp C, Rodriguez F, Maron D, Dash R. Evaluating Large Language Models and Retrieval-Augmented Generation Enhancement for Delivering Guideline-Adherent Nutrition Information for Cardiovascular Disease Prevention: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e78625 View
  3. Sorour S, Almusallam N. L3D-RAG: Leveraging LLaMA 3.1 and DeepSeek with Retrieval-Augmented Generation (RAG) for advanced Reddit community analysis. Alexandria Engineering Journal 2025;131:125 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 View
  5. Baur D, Ansorg J, Heyde C, Voelker A. Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study. JMIR AI 2025;4:e75262 View
  6. Walker A, Leung J, Alagappan A, Rajwal S, Lakamana S, Park T, Le N, Irani A, Sarker A, Falasinnu T, Bozkurt S. Centering Patient Voices in Lupus Pain: A Biopsychosocial Analysis of Reddit Narratives Using Large Language Models. Arthritis Care & Research 2025 View

Conference Proceedings

  1. Peixoto J, Lyra J, Passos A, Pereira B, Gouveia A, Araujo V. Anais do VI Workshop sobre as Implicações da Computação na Sociedade (WICS 2025). Bridging AI and Psychology: A RAG-Driven Approach to Inhibitory Control and ADHD Interventions View