While large language models (LLMs) have achieved state-of-the-art performance on a wide range of medical question answering (QA) tasks, they still face challenges with hallucinations and outdated knowledge. Retrieval-augmented generation (RAG) is a promising solution and has been widely adopted. ...
summarizationandgenerationtasksinvolveconvertingstructureddata,liketables,intodescriptive text.Thisincludesthecreationofpatientclinicletters,radiologyreports,andmedicalnotes[44]. TheprincipaldatasetsforthesetasksarePubMed[6]andMentSum[45].Arecentstudyintroduced BioLeaflets[46]andassessedmultipleLargeLanguageModels(LLMs...
MeItnhothdioslostguydy, we developed a mobile Android app in the Android Studio (version GiraIfnfeth20is22s.t3u.d1)y,ewnveirdoenvmeleonptetdo afamciolibtailtee ATincd-Traocid-TaopepgainmtehpelaAynadnrdoiddaStaturdeicoor(dveinrsgiofonr Glairragfefela2n0g2u2a.3g.e1)menodvierlosn(mLLe...