PubMed and beyond: biomedical literature search in the age of artificial intelligence, 2024, Jin et al.

PubMed and beyond: biomedical literature search in the age of artificial intelligence
Qiao Jin; Robert Leaman; Zhiyong Lu

Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent improvements in artificial intelligence (AI) have expanded functionality beyond keywords, but they might be unfamiliar to clinicians and researchers.

In response, we present an overview of over 30 literature search tools tailored to common biomedical use cases, aiming at helping readers efficiently fulfill their information needs. We first discuss recent improvements and continued challenges of the widely used PubMed.

Then, we describe AI-based literature search tools catering to five specific information needs: 1. Evidence-based medicine. 2. Precision medicine and genomics. 3. Searching by meaning, including questions. 4. Finding related articles with literature recommendation. 5. Discovering hidden associations through literature mining.

Finally, we discuss the impacts of recent developments of large language models such as ChatGPT on biomedical information seeking.


Link | PDF (Lancet: eBioMedicine)

 

when they create an ai tool that can sift out the vast amounts of appalling papers that seem to be published because of the very broken system where quantity is more important than quality . perhaps the present broken system will be massively overhauled or thrown out and replaced profit hungry publishers should no longer exist in a world with the internet to publish relevant papers.

 

Fortunately there is already a very successful model that academia can copy: open source software. Where issues don't stop being reported after something has been released. Without this I'm not sure AI would be making such progress. We are the experts in information, and wow does it show. Just freaking copy us FFS.

Which makes it especially frustrating, that there already is a perfect model to follow, and they just stick to this antiquated nonsense instead. But the thing about human intelligence is that it has to follow the process of making all the mistakes as much as possible and as long as possible until there is simply no other way out but the right way.