Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference.
Renate B SchnabelElena Andreassi MarinelliElena ArbeloGiuseppe BorianiSerge BovedaClaire M BuckleyA John CammBarbara CasadeiWinnie ChuaNikolaos DagresMirko de MelisLien DestegheSøren Zöga DiederichsenDavid DunckerLars EckardtChristoph EisertDaniel EnglerLarissa FabritzBen FreedmanLudovic GilletAndreas GoetteEduard GuaschJesper Hastrup SvendsenStéphane N HatemKarl Georg HaeuslerJeff S HealeyHein HeidbuchelGerhard HindricksF D Richard HobbsThomas HübnerDipak KotechaMichael KreklerChristophe LeclercqThorsten LewalterHonghuang LinDominik LinzGregory Y H LipMaja Lisa LøchenWim LucassenKatarzyna Malaczynska-RajpoldSteffen MassbergJosè Luis MerinoRalf MeyerLluıs MontMichael C MyersLis NeubeckTeemu NiiranenMichael OeffJonas OldgrenTatjana S PotparaGeorge PsaroudakisHelmut PürerfellnerUrsula RavensMichiel RienstraLena RivardDaniel ScherrUlrich SchottenDipen ShahMoritz F SinnerRüdiger SmolnikGerhard SteinbeckDaniel StevenEmma SvennbergDierk ThomasMellanie True HillsIsabelle C van GelderBurcu VardarElena PalàReza WakiliKarl WegscheiderMattias WielochStephan WillemsHenning WittAndré ZieglerMatthias Daniel ZinkPaulus KirchhofPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2022)
Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.