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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2609.15794/</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/2609.15794/feed.xml" rel="self" type="application/rss+xml" /><item><title>KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI — mentioned by kangjl888</title><link>https://news.ycombinator.com/item?id=49708712</link><guid isPermaLink="false">urn:hackerpapers:mention:2609.15794:49708712</guid><pubDate>Tue, 15 Sep 2026 06:52:44 GMT</pubDate><description>&lt;p&gt;Knowtex (YC S22) is the first frontier AI Lab for healthcare. We build AI that automates clinical work and provides clinical intelligence to providers. Standard evals in this space use medical exams or use expert rubric panels. These do not measure whether a clinician&amp;#x27;s workload actually was decreased. Our observation is that this measure already exists in the workflow. Before a note enters the medical record, a clinician reviews the draft and fixes whatever is wrong, then signs and owns it legally. The edits represents the measurement in that whatever survives review is effort Knowtex…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2609.15794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI — HN submission</title><link>https://news.ycombinator.com/item?id=49708711</link><guid isPermaLink="false">urn:hackerpapers:submission:2609.15794:49708711</guid><pubDate>Tue, 15 Sep 2026 06:52:44 GMT</pubDate><description>&lt;p&gt;KnowBench: Evaluating clinical AI with effort reduction&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2609.15794/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
