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TZID:Europe/Zurich
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DTSTART:19810329T020000
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BEGIN:VEVENT
UID:news1433@ub-easyweb.ub.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260922T174720
DTSTART;TZID=Europe/Zurich:20261104T123000
SUMMARY:Transforming Literature Screening Using AI: Smarter Tools for Evide
 nce-Based Research
DESCRIPTION:OverviewThis Coffee Lecture explores how artificial intelligenc
 e is reshaping the way we find\, prioritize\, and screen scientific litera
 ture – not only for systematic reviews\, but for any literature-intensiv
 e research project.  We will showcase intelligent tools like ASReview\, C
 ovidence\, and Rayyan for efficient screening and prioritization\, as well
  as platforms like Consensus and scite that support rapid evidence discove
 ry and citation analysis. These tools help reduce manual workload\, increa
 se transparency\, and make literature workflows more efficient and scalabl
 e.  We’ll also briefly touch on how large language models (LLMs) are be
 ing used to classify abstracts\, extract structured data\, and support sem
 i-automated decision-making in the early stages of literature analysis.\\r
 \\nTarget groupAnyone interested in the topic\\r\\nLecturerDr. Robin Seger
 er\, Information specialist psychology\\r\\n\\r\\nRegister here\\r\\nAll C
 offee Lectures Health & Science in the Autumn Semester 2026
X-ALT-DESC:<p><strong>Overview</strong><br />This Coffee Lecture explores h
 ow artificial intelligence is reshaping the way we find\, prioritize\, and
  screen scientific literature – not only for systematic reviews\, but fo
 r any literature-intensive research project. &nbsp\;We will showcase intel
 ligent tools like ASReview\, Covidence\, and Rayyan for efficient screenin
 g and prioritization\, as well as platforms like Consensus and scite that 
 support rapid evidence discovery and citation analysis. These tools help r
 educe manual workload\, increase transparency\, and make literature workfl
 ows more efficient and scalable. &nbsp\;We’ll also briefly touch on how 
 large language models (LLMs) are being used to classify abstracts\, extrac
 t structured data\, and support semi-automated decision-making in the earl
 y stages of literature analysis.</p>\n<p><strong>Target group</strong><br 
 />Anyone interested in the topic</p>\n<p><strong>Lecturer</strong><br />Dr
 . Robin Segerer\, Information specialist psychology</p>\n\n<p><a href="htt
 ps://www.eventbrite.ch/e/2001888285752" target="_blank"><strong>Register h
 ere</strong></a></p>\n<p><a href="t3://page?uid=5121"><strong>All Coffee L
 ectures Health &amp\; Science in the Autumn Semester 2026</strong></a></p>
DTEND;TZID=Europe/Zurich:20261104T124500
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