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Aims Recent trial data demonstrate beneficial effects of active rhythm management in patients with atrial fibrillation (AF) and support the concept that a low arrhythmia burden is associated with a low risk of AF-related complications. The aim of this document is to summarize the key outcomes of the 9th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Methods and results Eighty-three international experts met in Münster for 2 days in September 2023. Key findings are as follows: (i) Active rhythm management should be part of the default initial treatment for all suitable patients with AF. (ii) Patients with device-detected AF have a low burden of AF and a low risk of stroke. Anticoagulation prevents some strokes and also increases major but non-lethal bleeding. (iii) More research is needed to improve stroke risk prediction in patients with AF, especially in those with a low AF burden. Biomolecules, genetics, and imaging can support this. (iv) The presence of AF should trigger systematic workup and comprehensive treatment of concomitant cardiovascular conditions. (v) Machine learning algorithms have been used to improve detection or likely development of AF. Cooperation between clinicians and data scientists is needed to leverage the potential of data science applications for patients with AF. Conclusions Patients with AF and a low arrhythmia burden have a lower risk of stroke and other cardiovascular events than those with a high arrhythmia burden. Combining active rhythm control, anticoagulation, rate control, and therapy of concomitant cardiovascular conditions can improve the lives of patients with AF. [ABSTRACT FROM AUTHOR]

Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluation. AFNet was trained and tested on a manually segmented and radiologist-validated AF dataset. AFNet outperforms ResUNet++ by using efficient feature mapping in the attention block and transposing convolutions in the decoder. Our experimental results show that AFNet achieved a mean Intersection over Union (mIoU) of 93.38% on our dataset, thereby outperforming other state-of-the-art models. While AFNet achieves performance scores similar to those of the UNet++ model, it does so while utilizing merely less than half the number of parameters. By creating a detailed AF dataset with an improved CNN architecture, we enable the quantification of AFV in clinical practice, which can aid in diagnosing AF disorders during gestation. [ABSTRACT FROM AUTHOR]

Retinal vessel segmentation can obtain rich ocular information which is important for the diagnosis of fundus diseases. To address the problems of existing segmentation methods such as poor capillary segmentation and incorrect segmentation of pathological information, an AFNet vessel segmentation network combining location attention, semantic aggregation module and multi-scale feature fusion module is proposed. Add positional attention to the feature codec block of the network for modeling global dependencies and reducing intra-class inconsistencies, the multiscale feature fusion module is used in the last layer of the coding part to extract multiscale feature information to solve the difficult problem of large variation of retinal vessel width and size, and the designed semantic aggregation module can fully utilize the contextual semantic information to improve the segmentation accuracy of capillaries. Extensive experiments are conducted on three publicly available fundus image databases DRIVE, STARE and CHASE_DB1, and the results show that AFNet can effectively improve the accuracy of retinal vessel segmentation and achieve better comprehensive performance compared with other methods. [ABSTRACT FROM AUTHOR]

Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. 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. [ABSTRACT FROM AUTHOR]

Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluation. AFNet was trained and tested on a manually segmented and radiologist-validated AF dataset. AFNet outperforms ResUNet++ by using efficient feature mapping in the attention block and transposing convolutions in the decoder. Our experimental results show that AFNet achieved a mean Intersection over Union (mIoU) of 93.38% on our dataset, thereby outperforming other state-of-the-art models. While AFNet achieves performance scores similar to those of the UNet++ model, it does so while utilizing merely less than half the number of parameters. By creating a detailed AF dataset with an improved CNN architecture, we enable the quantification of AFV in clinical practice, which can aid in diagnosing AF disorders during gestation.

Aims: The risk of developing atrial fibrillation (AF) and its complications continues to increase, despite good progress in preventing AF-related strokes.Methods and Results: This article summarizes the outcomes of the 7th Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA) held in Lisbon in March 2019. Sixty-five international AF specialists met to present new data and find consensus on pressing issues in AF prevention, management and future research to improve care for patients with AF and prevent AF-related complications. This article is the main outcome of an interactive, iterative discussion between breakout specialist groups and the meeting plenary. AF patients have dynamic risk profiles requiring repeated assessment and risk-based therapy stratification to optimize quality of care. Interrogation of deeply phenotyped datasets with outcomes will lead to a better understanding of the cardiac and systemic effects of AF, interacting with comorbidities and predisposing factors, enabling stratified therapy. New proposals include an algorithm for the acute management of patients with AF and heart failure, a call for a refined, data-driven assessment of stroke risk, suggestions for anticoagulation use in special populations, and a call for rhythm control therapy selection based on risk of AF recurrence.Conclusion: The remaining morbidity and mortality in patients with AF needs better characterization. Likely drivers of the remaining AF-related problems are AF burden, potentially treatable by rhythm control therapy, and concomitant conditions, potentially treatable by treating these conditions. Identifying the drivers of AF-related complications holds promise for stratified therapy. [ABSTRACT FROM AUTHOR]

Aims: Recent trial data demonstrate beneficial effects of active rhythm management in patients with atrial fibrillation (AF) and support the concept that a low arrhythmia burden is associated with a low risk of AF-related complications. The aim of this document is to summarize the key outcomes of the 9th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA)., Methods and Results: Eighty-three international experts met in Münster for 2 days in September 2023. Key findings are as follows: (i) Active rhythm management should be part of the default initial treatment for all suitable patients with AF. (ii) Patients with device-detected AF have a low burden of AF and a low risk of stroke. Anticoagulation prevents some strokes and also increases major but non-lethal bleeding. (iii) More research is needed to improve stroke risk prediction in patients with AF, especially in those with a low AF burden. Biomolecules, genetics, and imaging can support this. (iv) The presence of AF should trigger systematic workup and comprehensive treatment of concomitant cardiovascular conditions. (v) Machine learning algorithms have been used to improve detection or likely development of AF. Cooperation between clinicians and data scientists is needed to leverage the potential of data science applications for patients with AF., Conclusions: Patients with AF and a low arrhythmia burden have a lower risk of stroke and other cardiovascular events than those with a high arrhythmia burden. Combining active rhythm control, anticoagulation, rate control, and therapy of concomitant cardiovascular conditions can improve the lives of patients with AF., Competing Interests: Conflict of interest The 9th AFNET/EHRA consensus conference was partially supported by the European Union MAESTRIA project (grant agreement 965286) to AFNET. The following participants and authors are employees of companies active in cardiovascular health as indicated in their affiliations: M.D.M., E.D., C.E., G.H., L.H.H., T.H., R.H.v.L., M.W., and H.W. P.K. was partially supported by the European Union AFFECT-AF (grant agreement 847770) and MAESTRIA (grant agreement 965286), German Center for Cardiovascular Research supported by the German Ministry of Education and Research (DZHK, grant numbers DZHK FKZ 81X2800182, 81Z0710116, and 81Z0710110), German Research Foundation (Ki 509167694), and Leducq Foundation. He receives research support for basic, translational, and clinical research projects from several drug and device companies active in AF and has received honoraria from several such companies in the past, but not in the last 3 years. He is listed as an inventor on two issued patents held by the University of Hamburg (Atrial Fibrillation Therapy WO 2015140571, Markers for Atrial Fibrillation WO 2016012783). J.G.A. was partially supported by the Canadian Arrhythmia Network and the Michael Smith Foundation for Health Research, Baylis Medical. He receives consulting fees/honoraria from Bayer, BMS/Pfizer Alliance, Servier, and Medtronic Inc. E.A. receives consulting fees/honoraria from Biosense Webster and Bayer. G.B. receives consulting fees/honoraria from Bayer, BMS, Boston Scientific, Daiichi Sankyo, Sanofi, and Janssen. A.J.C. receives consulting fees/honoraria from Bayer, Pfizer/BMS, Daiichi Sankyo, Menarini, Sanofi, Boston Scientific, Biosense Webster, Abbott, Acesion Pharma, Huya Bio, and Milestone. V.C. receives consulting fees/honoraria from Bayer, Boehringer Ingelheim, and Ever Pharma (paid to the institution of employment). W.D. receives consulting fees/honoraria from Reata and research grants from MicroPort, Boston Scientific, and Abbott. S.Z.D. receives consulting fees from BMS/Pfizer, Cortrium, and Acesion Pharma and speaker fees from MS/Pfizer and Bayer. He is listed as a medical advisor for Vital Beats. Dobromir D. receives consulting fees/honoraria from Elsevier, Springer Healthcare Ltd, and Daiichi Sankyo and research grants as follows: four NIH grants (partially) from Baylor College of Medicine, Houston; one NIH grant from UC Davis, one NIH grant from the University of Minnesota, and one EU-Project H2020. David D. receives consulting fees/honoraria from Abbott, Astra Zeneca, Biotronik, Boehringer Ingelheim, Boston Scientific, BMS/Pfizer, CVRx, Medtronic, MicroPort, and Zoll and research grants from Roche, CVRx, and Zoll. L.E. has received lecture fees from various companies in AF in the past but none related to the present work. L.F. receives consulting fees/honoraria from Roche (paid to the institution of employment). She is currently employed at the UKE and previously at the University of Birmingham. She was partially supported by the European Union AFFECT-EU (grant agreement 847770), MAESTRIA (grant agreement 965286), CATCH ME (grant agreement 633196), and the British Heart Foundation (AA/18/2/3218). D.F.-R. receives research grants from Abbott. He is listed as an inventor on two issued patents: EP3636147A1 (method for the identification of cardiac fibrillation drivers and/or the footprint of rotational activations) and PCT/EP2022/071364 (system and method of assessment of electromechanical remodelling). A.G. receives consulting fees/honoraria from Daiichi Sankyo, Bayer, BMS/Pfizer, Medtronic, Abbott, and Boston Scientific and was partially supported by the European Union MAESTRIA (grant agreement 965286). K.G.H. receives consulting fees/honoraria from Abbott, Alexion, Amarin, Astra Zeneca, Bayer Healthcare, Biotronik, Boehringer Ingelheim, Boston Scientific, BMS/Pfizer, Daiichi Sankyo, Edwards Lifesciences, Medtronic, Novaris, Portola, Premier Research, Sanofi, SUN Pharma, and W. L. Gore and Associates. J.S.H. receives speaking fees from BMS/Pfizer, Bayer, Servier, and Boston Scientific and consulting fees from Bayer and Boston Scientific. He receives research grants from BMS/Pfizer, Servier, Novartis, Boston Scientific, and Medtronic. H.H. receives lecture and consulting fees from Bayer, Biotronik, BMS/Pfizer, Daiichi Sankyo, Milestone Pharmaceuticals, Centrix India, C.T.I. Germany, ESC, Medscape, and Springer Healthcare Ltd. He receives research grants (paid to the institution of employment, University of Antwerp and/or University of Hasselt) from Abbott, Bayer, Biosense Webster, Boston Scientific, Daiichi Sankyo, Fibricheck/Qompium, Medtronic, and BMS/Pfizer. Z.H. receives consulting fees/honoraria from Boehringer Ingelheim, BMS/Pfizer, and Roche Diagnostics. He was partially supported by The Swedish Society for Medical Research (S17-0133), Hjärt-Lungfonden (The Swedish Heart-Lung Foundation, 20200722), and the institution he is currently employed at (Uppsala University Hospital). L.H.-M. receives research grants from the Spanish Ministry of Science and Innovation (PID2020-116927RB-C21) and Fondo Europeo de Desarrollo Regional (FEDER). D.K. receives consulting fees/honoraria from Bayer, Amomed, and Protherics Medicines Development. He receives research grants from the National Institute for Health Research (NIHR CDF-2015-08-074 RAE-AF; NIHR130280 DaRe2THINK; NIHR13274 D2T-NeuroVascular; and NIHR203326 Biomedical Research Centre), the British Heart Foundation (PG/17/55/33087, AA/182/3218, and FS/CDRF/21/21032), the EU/EFPIA Innovative Medicines Initiative (BigData@Heart 116074), EU Horizon and UKRI (HYPERMARKER 101095480) UK National Health Service—Data for R&D-Subnational Secure Data Environment programme, UK Department for Business, Energy Industrial Strategy Regulators Pioneer Fund, the Cook & Wolstenholme Charitable Trust, and the European Society of Cardiology supported by educational grants from Boehringer Ingelheim, BMS/Pfizer, Alliance, Bayer, Daiichi Sankyo, Boston Scientific, the NIHR/University of Oxford Biomedical Research Centre, and the British Hear Foundation, the University of Birmingham Accelerator Award (STEEER-AF). J.L.M. receives consulting fees/honoraria from Biotronik, Medtronic, MicroPort, and Milestone Pharmaceuticals. A.M. receives consulting fees/honoraria from Medtronic, Biosense Webster, and Boston Scientific and lecture fees from Medtronic, Boston Scientific, Biosense Webster, BMS, and Bayer. L.M. receives consulting fees/honoraria from Abbott, Medtronic, Boston Scientific, and Johnson & Johnson. G.A.N. receives lecture fees from AliveCor, consultant fees from Biosense Webster, and research grants from Abbott and Biosense Webster. H.P. receives consulting fees/honoraria from Abbott, Boston Scientific, Biosense Webster, Medtronic, Daiichi Sankyo, Bayer, and Pfizer. P.S. receives consulting fees/honoraria from Medtronic, Boston Scientific, Abbott, CathRx, and PaceMate (paid to the institution of employment). He is currently employed at the University of Adelaide, which receives research grants from Medtronic, Boston Scientific, and Becton-Dickenson. R.B.S. receives consulting fees/honoraria from BMS/Pfizer. She was partially supported by the European Union Horizon 2020 research and innovation programme (grant agreement 648131 and 847770), German Center for Cardiovascular Research supported by the German Ministry of Education and Research (DZHK, grant numbers 81Z1710103 and 81Z0710114), German Ministry of Research and Education (BMBF 01ZX1408A), ERACoSysMed3 (031L0239), Wolfgang Seefried project funding German Heart Foundation. U.S. receives consulting fees/honoraria from University Svizzerra Italiana, Stanford, and Johnson & Johnson and research grants from the European Union, Dutch Heart Foundation, Roche, and EP Solution. He is a shareholder of YourRhythmics B.V. T.T. receives consulting fees/honoraria from Boston Scientific and Medtronic. I.C.v.G. receives consulting fees/honoraria from Bayer (paid to the institution of employment). She is currently employed at the University of Groningen. K.V. receives consulting fees/honoraria from Abbott, Philips, Medtronic, Biosense Webster, and Boston Scientific and research grants from Medtronic and Biosense Webster. R.W. receives consulting fees/honoraria from Boehringer Ingelheim, BMS/Pfizer, Daiichi Sankyo, Boston Scientific, Biotronik, Abiomed, and Zoll and a research grant from Boston Scientific, BMS/Pfizer, and Abiomed. S.W. receives consulting fees/honoraria from Boehringer Ingelheim, Boston Scientific, Abbott, and Bayer Vital and a research grant from Boston Scientific. All remaining authors (G.B., J.C.N., T.D.P., N.D., M.F., E.G., S.H., S.K., D.L., K.M.-R., M.O., A.S.P., U.R., M.R., D.S., C.S., G.S., D.S., S.T., R.H.v.L., and S.Z.) have declared no conflicts of interest., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. 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., Competing Interests: Conflict of interest: RBS has received lecture fees and advisory board fees from BMS/Pfizer outside this work and has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under the grant agreement No 648131, from the European Union's Horizon 2020 research and innovation programme under the grant agreement No 847770 (AFFECT-EU) and German Center for Cardiovascular Research (DZHK e.V.) (8121710103); German Ministry of Research and Education (BMBF 01ZX1408A) and ERACoSysMed3 (031L0239).EAM is employee of Daiichi Sankyo Europe GmbH producing and marketing an oral anticoagulant (edoxaban). EA has received consulting / speaker fees for Biosense Webster. GB has received speaker's fees of small amount from Boston, Bayer, Daiichi, Boehringer. SB is consultant for Medtronic, Boston Scientific, Microport, and Zoll. JC has received consulting fees / honoraria fees from Acesion, Allergan, Alta Thera, Arca, lncarda, Menarini, Milestone, Sanofi, Bayer, Daiichi Sankyo, Pfizer, Abbott, Biosense Webster, Biotronik, Boston Scientific, Lilly, Medtronic, Johnson and Johnson. BC has received in kind contribution for research Support from iRhythm. WC has received advisory board fees for Roche Diagnostics AG. MDM is employee of Medtronic. SZB has received fees as member of Advisory Board in Bristol Myers Squibb-Pfizer. DD has received fees from Abbott, Astra Zenica, Bayer, Bosten Scientific, Bristol Myers Squibb-Pfizer, Medtonic, Zoll. LE has received lecture Honoria from Medtronic, Biotronik, Boston Scientific, Boehringer Ingelheim, Daiichy Sankyo, Bayer, MMS, Pfizer, Sanofi and received research grants from DFG and DGK. CE is employee of Preventicus GmbH. LF has received institutional research grants and non-financial support from European Union, DFG, British Heart Foundation, Medical Research Council (UK), NIHR, and several biomedical companies. The Institute of Cardiovascular Research, University of Birmingham, has received an Accelerator Award by the British Heart Foundation M/18/2/34218. LF is listed as inventor of two patents held by University of Birmingham (Atrial Fibrillation Therapy WO 2015140571, Markers for Atrial Fibrillation WO 2016012783). BF receiving fees from Bristol-Myers Squibb and Pfizer Alliance, Bayer, Daiichi Sankyo, Omron. (largely speaker fees and travel support for speaking at session or official satellites of large international/continental society meetings) and investigator-initiated research grants to the institution from Bristol-Myers and Squibb and Pfizer Alliance and Ownership / Employee of Nil. LG and AZ are employees of Roche Diagnostics International Ltd. AG has received funding from Daiichi Sankyo, Astra Zenica, Bayer, Bristol Myers Squibb-Pfizer, Viola, Medtonic, Berlin Charitè. JHS has received Advisory board fees in Medtronic and Speaker fee from Medtronic. KGH has received fees from Abbott, Alexion, AMARIN, AstraZeneca, Bayer, Biotronik, Boehringer Ingelheim, Bristol-Myers-Squibb, Daiichi Sankyo, Edwards Lifesciences, Medtronic, Pfizer, Premier Research, SUN Pharma and W. L. Gare & Associates and Research Grants from Bayer Vital, Sanofi-Aventis. JSH received fees from Boston Scientific, Servier, Bayer, Myokardia, Bristol-Myers-Squibb, Pfizer, and research grants from Medtronic, Boston Scientific, Bristol-Myers-Squibb, Abbott. HH has received lecture and consultancy fees from Abbott, Biotronik, Bristol-Myers-Squibb- Pfizer, Medscape, Daiichi Sankyo, Springer Healthcare Ltd and receive un conditional research grants through the Univerity of Antwerp and/or University of Hasselt from Abbott, Bayer, Biotronik, Biosense-Webster, Fibrickeck/Qompium, Medtronic, Bristol-Myers-Squibb- Pfizer, Boston Scientific, Daiichi Sankyo and Boehringer Ingelheim. RH has received speacker fees from BI, Bayer and Bristol-Myers-Squibb- Pfizer and AZ. TH is CEO of Preventicus GmbH. DK has received funding from Bayer, AtriCure, Protherics Medicines Development and Myokardia and Research grant from rants from the National Institute for Health Research (NIHR CDF-2015-08-074 RATE-AF; NIHR HTA-130280 DaRe2THINK; NIHR EME- 132974 D2T-NV), the British Heart Foundation (PG/17/55/33087 and AA/18/2/34218), EU/EFPIA IMI (BigData@Heart 116074),the European Society of Cardiology supported by educationalgrants from Boehringer Ingelheim/BMS-Pfizer Alliance/Bayer/Daiichi Sankyo/Boston Scientific, the NIHR/the University of Ox- ford Biomedical Research Centre, and British Heart Foundation/ the University of Birmingham Accelerator Award (STEEER-AF NCT04396418), Amomed Pharma, and IRCCS San Raffaele/Menarini (beta-blockers in Heart Failure Collaborative Group NCT0083244). MK is employee of Bristol-Myers and Squibb. CL has received fees from medtonic, Boston Scientific, Biotronik and Bristol-Myers and Squibb- Pfizer and research grants from Rennes Univerity, Metronik, Biotonik and Boston Scientific. DL has received research grant for EHRA-PATHS, NovoNordisk Young Investigator Award. MLL has received lecture fees from Bristol-Myers and Squibb and research grant from H2020 AFFECT-EU (grant No. 847770). SM has received research grant from Daiichi Sankyo (EPDAURUS IIT) and Bristol-Myers and Squibb (APPROACH ACS AF IIT). JLM has received Abbott, Boston Scientific, Biotronik, Boehringer Ingelheim, Sanofi, Microport and received research grants from Medtronic, Abbott, Microport, Biosense. RM is employee of Medtronic. LM is Stockholder for Galgomedical and Corify and receiving consuting fees from Abbott, Biosense-Webster, Bosten Scientific, Medtronik and receiving research grants from Abbott, Biosense-Webster, Bosten Scientific, Medtronik. LN has received consulting fees from Bristol-Myers and Squibb- Pfizer. GP is employee of Bayer AG. HP has received consulting fees from Abbott, Biosense-Webster, Bosten Scientific, Medtronik and receiving research grants from Abbott, Bayer, Biosense-Webster, Bosten Scientific, Medtronik, Bristol-Myers and Squibb- Pfizer. MR has received consulting fees for Medtonic, Arca BiopharmaInc, Roche and received research grants from Dutch Heart Foundation: RACE V, RED-CVD, CVON-AI, DECISION studies; grant from SJM/Abbott to institution: VIP-HF study; Grant for Medtronic to institution: Cryoballoon AF registry/biobank study. The other authors declare that there is no conflict of interest.LR has received research grants from Canadian Insititute of Health research and Byer Inc. U.S. received consultancy fees or honoraria from Università della Svizzera Italiana (USI, Switzerland), Roche Diagnostics (Switzerland), EP Solutions Inc. (Switzerland), Johnson & Johnson Medical Limited, (United Kingdom), Bayer Healthcare (Germany). U.S. is co-founder and shareholder of YourRhythmics BV, a spin-off company of the University Maastricht and Research grant from the Dutch Heart Foundation (CVON RACE V, CVON2014–09) European Union's Horizon 2020 Research and Innovation Program granted to MS under the Marie Sklodowska-Curie grant agreement #813716 (TRAIN-HEART Innovative Training Network), and various other programs of the European Union granted to US (ITN Network Personalize AF: Personalized Therapies for Atrial Fibrillation: a translational network – grant #860974; CATCH ME: Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly – grant #633196; MAESTRIA: Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation – grant #965286; REPAIR: Restoring cardiac mechanical function by polymeric artificial muscular tissue – grant #952166). DS has received consultation fees from Biosense Webster, Abbott, Boston Scientific, Consultant with stock option: SentiAR, Arga Medtech. RS is employee of Daiichi Sankyo Europe GmbH. DS has received consultation fees from Boston Scientific, Abbott and Research grant from Biosense Webster. ES has received lecture fees from Bayer, Bristol-Myers and Squibb- Pfizer, Boehringer Ingelheim, Johnson & Johnson, Merck Sharp & Dohme and Sanofi. DT has received lecture fees from Bayer Vital, Bristol-Myers and Squibb- Pfizer, Daiichi Sankyo, Medtonic, Zoll CMS, Sanofi, St. Jude Medical and research grant from Daiichi Sankyo. MTH is employee/owner of American Foundation of women's Health /StopAfib.org and employee/owner of True Hills Inc.. BV is employee of Bayer AG. RW has received consultation fees from Boston Scientific, Biotronic, Pfizer, Daiichi Sankyo, Bayer, Adagio Medical and Research grant from Bristol-Myers and Squibb- Pfizer, Boston Scientific. CW has received consulation fees from Biotronik, Boston Scientific, Novartis and research grant from BMBF, AFNET, DZHK, Biotronik. MW is employee and shareholder of Sanofi. SW has received Consulting fees from Boston Scientific, Abbott, Bayer, Bristol-Myers and Squibb- Pfizer, Boehringer Ingelheim and research grant from Boston Scientific. HW is employee and stockholder of Pfizer Germany. MDZ has received advisory and speaker fee from Bristol-Myers and Squibb- Pfizer. PK reports grants and non-financial support from BMBF (German Ministry of Education and Research), grants from Sanofi and Abbott, grants and non-financial support from EHRA (European Heart Rhythm Association), and grants from German Heart Foundation and DZHK (German Center for Cardiovascular Research), during the conduct of the study, and grants from European Union, British Heart Foundation, Leducq Foundation, Medical Research Council (UK), and non-financial support from German Centre for Heart Research, outside the submitted work; in addition, P.K. has a patent Atrial Fibrillation Therapy WO 2015140571 issued to University of Birmingham and a patent Markers for Atrial Fibrillation WO 2016012783 issued to University of Birmingham., (© The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology.)

Aims: The risk of developing atrial fibrillation (AF) and its complications continues to increase, despite good progress in preventing AF-related strokes., Methods and Results: This article summarizes the outcomes of the 7th Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA) held in Lisbon in March 2019. Sixty-five international AF specialists met to present new data and find consensus on pressing issues in AF prevention, management and future research to improve care for patients with AF and prevent AF-related complications. This article is the main outcome of an interactive, iterative discussion between breakout specialist groups and the meeting plenary. AF patients have dynamic risk profiles requiring repeated assessment and risk-based therapy stratification to optimize quality of care. Interrogation of deeply phenotyped datasets with outcomes will lead to a better understanding of the cardiac and systemic effects of AF, interacting with comorbidities and predisposing factors, enabling stratified therapy. New proposals include an algorithm for the acute management of patients with AF and heart failure, a call for a refined, data-driven assessment of stroke risk, suggestions for anticoagulation use in special populations, and a call for rhythm control therapy selection based on risk of AF recurrence., Conclusion: The remaining morbidity and mortality in patients with AF needs better characterization. Likely drivers of the remaining AF-related problems are AF burden, potentially treatable by rhythm control therapy, and concomitant conditions, potentially treatable by treating these conditions. Identifying the drivers of AF-related complications holds promise for stratified therapy., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.)