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Anders Ahlsson

Örebro University

ORCID: 0000-0002-6913-0669

Publishes on Atrial Fibrillation Management and Outcomes, Cardiac, Anesthesia and Surgical Outcomes, Aortic Disease and Treatment Approaches. 98 papers and 47.2k citations.

98Publications
47.2kTotal Citations

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Top publicationsby citations

2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Cited by 6.5kOpen Access

The ESC Guidelines represent the views of the ESC and were produced after careful consideration of the scientific and medical knowledge and the evidence available at the time of their publication. The ESC is not responsible in the event of any contradiction, discrepancy and/or ambiguity between the ESC Guidelines and any other official recommendations or guidelines issued by the relevant public health authorities, in particular in relation to good use of healthcare or therapeutic strategies. Health professionals are encouraged to take the ESC Guidelines fully into account when exercising their clinical judgment, as well as in the determination and the implementation of preventive, diagnostic or therapeutic medical strategies; however, the ESC Guidelines do not override, in any way whatsoever, the individual responsibility of health professionals to make appropriate and accurate decisions in consideration of each patient's health condition and in consultation with that patient and, where appropriate and/or necessary, the patient's caregiver. Nor do the ESC Guidelines exempt health professionals from taking into full and careful consideration the relevant official updated recommendations or guidelines issued by the competent public health authorities, in order to manage each patient's case in light of the scientifically accepted data pursuant to their respective ethical and professional obligations. It is also the health professional's responsibility to verify the applicable rules and regulations relating to drugs and medical devices at the time of prescription.

2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Paulus Kirchhof, Stefano Benussi, Dipak Kotecha et al.|European Heart Journal|2016
Cited by 6.4kOpen Access

The ESC Guidelines represent the views of the ESC and were produced after careful consideration of the scientific and medical knowledge and the evidence available at the time of their publication. The ESC is not responsible in the event of any contradiction, discrepancy and/or ambiguity between the ESC Guidelines and any other official recommendations or guidelines issued by the relevant public health authorities, in particular in relation to good use of healthcare or therapeutic strategies. Health professionals are encouraged to take the ESC Guidelines fully into account when exercising their clinical judgment, as well as in the determination and the implementation of preventive, diagnostic or therapeutic medical strategies; however, the ESC Guidelines do not override, in any way whatsoever, the individual responsibility of health professionals to make appropriate and accurate decisions in consideration of each patient's health condition and in consultation with that patient and, where appropriate and/or necessary, the patient's caregiver. Nor do the ESC Guidelines exempt health professionals from taking into full and careful consideration the relevant official updated recommendations or guidelines issued by the competent public health authorities, in order to manage each patient's case in light of the scientifically accepted data pursuant to their respective ethical and professional obligations. It is also the health professional's responsibility to verify the applicable rules and regulations relating to drugs and medical devices at the time of prescription.

2017 ESC/EACTS Guidelines for the management of valvular heart disease
Helmut Baumgartner, Volkmar Falk, Jeroen J. Bax et al.|European Heart Journal|2017
Cited by 6.3kOpen Access

Mathematical support for phonocardiographic signal processing has been developed based on a mathematical model in the form of a periodically correlated stochastic process and a component processing method. On the basis of mathematical support, algorithmic and software was developed in the Matlab environment for automated systems of computer diagnostics of the functional state of the valves of the human heart when mitral insufficiency is detected.