{"url":"/dataset/smr-iu-x-ray","name":"SMR IU X-Ray","full_name":"Simplified Medical Reports","description_markdown":"This paper introduces **CPIR-MR** (Chained Prompting for Improved Readability of Medical Reports), a method designed to simplify complex chest X-ray reports for better patient understanding. The authors extend the IU X-Ray dataset with **Simplified Medical Reports (SMRs)** generated via chained prompting and propose a **multi-modal text decoder (MTD)** that integrates BLIP embeddings with classification outputs to generate **Simplified Medical Explanations (SMEs)**.<br><br>  \r\nKey highlights:<br>  \r\n- Uses **few-shot and Chain-of-Thought (CoT)** prompting for generating structured, readable outputs.<br>  \r\n- Maintains medical accuracy while improving **readability and sentiment consistency**.<br>  \r\n- Introduces **CPMK-E**, a chained prompting system for keyword extraction and evaluation using Gemini 1.5 Flash.<br>  \r\n- Shows strong performance in text complexity reduction and **semantic similarity preservation**.<br><br>","description_withheld":null,"homepage":"","introduced_date":"2025-04-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/from-complexity-to-clarity-transforming-chest","title":"From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting (Student Abstract)","first_author":"Sujoy Nath","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Image Captioning","url":"/task/image-captioning","datasets_with_task":"/datasets/task/image-captioning"},{"name":"Medical Report Generation","url":"/task/medical-report-generation","datasets_with_task":"/datasets/task/medical-report-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SMR IU X-Ray"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}