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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.20381/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2310.20381/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis — mentioned by cmiles74</title><link>https://news.ycombinator.com/item?id=39832262</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.20381:39832262</guid><pubDate>Tue, 26 Mar 2024 20:08:33 GMT</pubDate><description>&lt;p&gt;There are lots of papers about using some kind of LLM to cut costs and staffing in hospitals. Big companies believe there is a lot of money to be made here, despite the obvious dangers. A quick Google search found this paper, here&amp;#x27;s a quote: &amp;quot;Our evaluation shows that GPT-4V excels in understanding medical images and is able to generate high-quality radiology reports and effectively answer questions about medical images. Meanwhile, it is found that its performance for medical visual grounding needs to be substantially improved. In addition, we observe the discrepancy between the evaluation…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.20381/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
