Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2303.17579/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTMultimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation — mentioned by espadrinehttps://news.ycombinator.com/item?id=36890774urn:hackerpapers:mention:2303.17579:36890774Thu, 27 Jul 2023 08:54:50 GMT<p>It is still not quite at a human level (radiologists prefer human reports in 60% of cases in blinded trials on the best of 3 models, corresponding to an ELO difference of 67 points; the worst model has an ELO difference of 130 compared to humans). The evaluation was done on 246 X-rays, which is good; it would be better if they were not all chest X-rays (to see generality), and if there were more than only four radiologists from the same country. The achieved 0.25 clinically-significant errors is impressive, although it is only for the best of 3 models, which can incur bias; averaged across…</p><p><a href="https://hackerpaper.kaipfister.de/p/2303.17579/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL