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Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records

arXiv · Sep 12

Researchers address the challenge of limited Arabic medical dialogue data by generating 80,000 synthetic question-answer pairs using ChatGPT-4o and Gemini 2.5 Pro, expanding an initial dataset of 20,000 records. They fine-tuned five LLMs, including Mistral-7B and AraGPT2, and evaluated performance using BERTScore and expert review. Results showed that training with ChatGPT-4o-generated data led to higher F1-scores and fewer hallucinations across models. Why it matters: This demonstrates the potential of synthetic data augmentation to improve domain-specific Arabic language models, particularly for low-resource medical NLP applications.

COVIBOT: A Smart Chatbot for Assistance and E-Awareness during COVID-19 Pandemic

arXiv · Apr 16

Researchers developed COVIBOT, a smart chatbot to spread awareness and assist during the COVID-19 pandemic in Saudi Arabia. The chatbot uses Azure Cognitive Services and is available in both English and Arabic. COVIBOT's use cases were tested and validated using a scenario-based approach.

MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis

arXiv · Mar 22

The paper introduces MedPromptX, a clinical decision support system using multimodal large language models (MLLMs), few-shot prompting (FP), and visual grounding (VG) for chest X-ray diagnosis, integrating imagery with EHR data. MedPromptX refines few-shot data dynamically for real-time adjustment to new patient scenarios and narrows the search area in X-ray images. The study introduces MedPromptX-VQA, a new visual question answering dataset, and demonstrates state-of-the-art performance with an 11% improvement in F1-score compared to baselines.