Neurology resident interested in the intersection of health and artificial intelligence: digital biomarkers, pragmatic trials, wearables, reproducible research
#LocalCitationNetwork now allows you to retrieve All References and All Citations from a given set of Input Articles with both @OpenAlex_org and @SemanticScholar! For example, these 11 input articles (via @vamrhein) have 406 references & 7143 citations: https://t.co/yKdwLIyuxU 1/
🚀 Excited to share our latest Journal of Neurology publication on dreaMS app.
Six gamified, adaptive cognitive tests (<10 min) improve sensitivity to change by addressing floor/ceiling & practice effects.
Big thanks to our team & partners!
Read more: https://t.co/0mfNLw7naM
Human-AI collaboration may save time for a second human rater for reporting and bias assessments.
We tested Claude-3-Opus, Claude-2, GPT-4, GPT-3.5, Mixtral-8x22B.
Wonderful work led by @timwoelfle published in @JClinEpi
https://t.co/9HYkfKSG4Y
Our work "Benchmarking Human-AI Collaboration for Common Evidence Appraisal Tools" is published in @JClinEpi! https://t.co/PazK1cFtDg
Evidence appraisal tools are very resource intensive but LLMs may assist human raters. Wonder how @OpenAI's o1 & @Meta's Llama 3.1 will perform?
Check out our work on LLMs for systematic reviews of medical literature: Benchmarking Human-AI Collaboration for Common Evidence Appraisal Tools. We used @AnthropicAI's Claude-3-Opus, @OpenAI's GPT-4, @MistralAI's open-source Mixtral-8x22B: https://t.co/U17f77m6oM @LGHemkens 1/6
@nealhaddaway@TheLensOrg@SemanticScholar@OpenAlex_org@Scopus@webofscience By a lucky coincidence, such a comparison was actually published in a highly interesting paper by @michaelgusenb just 4 days after our exchange! However, I'm not sure whether it differentiated the "spurious citations" in Google Scholar you've mentioned. https://t.co/ISVFMNpFlN
#LocalCitationNetwork now allows you to retrieve All References and All Citations from a given set of Input Articles with both @OpenAlex_org and @SemanticScholar! For example, these 11 input articles (via @vamrhein) have 406 references & 7143 citations: https://t.co/yKdwLIyuxU 1/
Shall we please stop worrying about rogue AI and instead worry about the Atlantic Overturning Circulation crossing a tipping point. It seems close and would make Europe basically unlivable. (Thanks to @jonkhler for the link) https://t.co/zuHtPH3zXY
Why were so few RCTs done to find out optimal COVID control strategies (masks, isolation)? Why so few RCTs of educational strategies? We conduct uncontrolled experiments over & over, remain in the dark. Cultural change to accept RCTs outside conventional medicine urgently needed.
@nealhaddaway@TheLensOrg@SemanticScholar Furthermore, @aarontay just made me aware that there is even a difference in the data between @semantischolar's API compared to their website. https://t.co/ahCiu7gcHz
Semantic https://t.co/VRuZxqCdDK website has more than the API! This has implications as many "AI tools" eg Elicit use semantic Scholar data.. I wonder what % diff this makes and nature of exclusions
@nealhaddaway@TheLensOrg Thanks for your interest and for citationchaser Neal, great tool! #LocalCitationNetwork only searches one API at a time and the example network I've linked & the numbers I've shown are from @SemanticScholar (S2). I'm not aware of a comparative analysis of its graph accuracy.
Finally, check out this recent guidance on citation searching in the @bmj_latest: https://t.co/0zLd1WJLkV Direct citation searching is now fully implemented in #LocalCitationNetwork & we're working on indirect citation searching: https://t.co/bNQgxVUBWR Stay tuned! 7/7
You enter keywords on Google Scholar.
Then bam! Thousands of hits.
Instead, use AI literature mapping tools!
SAVE this guide to choose the right one for you ⤵
Sifting through the Google Scholar/ PubMed noise takes hours.
DAYS even.
And don't get me started on the compilations.
Endless datasheets.
Do yourself a favor and
Use AI literature mapping tools
They analyze and visualize scientific literature for you.
Just input your seed paper or collection.
The AI recommends similar papers.
Ones ACTUALLY relevant to your search.
You can see it all on an interactive map or graph.
BUT..
How to decide the right tool for your use case?
⤴ That's why I created this comparison table for you
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#aiinresearch #literaturereview #ai #literaturemapping
@RsrchRabbit@LitmapsApp@Inciteful_xyz