5 papers
Assessing Large Language Models for Medical QA: Zero-Shot and LLM-as-a-Judge Evaluation
Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +2
Recently, Large Language Models (LLMs) have gained significant traction in medical domain, especially in developing a QA systems to Medical QA systems for enhancing access to healt…
Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs
Ajwad Abrar, Nafisa Tabassum Oeshy, Prianka Maheru +2
Summarizing consumer health questions (CHQs) can ease communication in healthcare, but unfaithful summaries that misrepresent medical details pose serious risks. We propose a frame…
BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering
Sadia Sultana, Saiyma Sittul Muna, Mosammat Zannatul Samarukh +2
Developing accurate biomedical Question Answering (QA) systems in low-resource languages remains a major challenge, limiting equitable access to reliable medical knowledge. This pa…
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier
Tareque Mohmud Chowdhury, Farzana Tabassum, Sabrina Islam +1
Accurately identifying cancer samples is crucial for precise diagnosis and effective patient treatment. Traditional methods falter with high-dimensional and high feature-to-sample…
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
Farzana Tabassum, Sabrina Islam, Siana Rizwan +4
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with variou…