• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence
Introduction Atrial fibrillation (AF) is a major cardiovascular health problem: it is common, chronic and incurs substantial healthcare expenditure because of stroke. Oral anticoagulation reduces the risk of thromboembolic stroke in those at higher risk; but for a number of patients, stroke is the first manifestation of undetected AF. There is a rationale for the early diagnosis of AF, before the first complication occurs, but population-based screening is not recommended. Previous prediction models have been limited by their data sources and methodologies. An accurate model that uses existing routinely collected data is n...
Source: BMJ Open - November 2, 2021 Category: General Medicine Authors: Nadarajah, R., Wu, J., Frangi, A. F., Hogg, D., Cowan, C., Gale, C. Tags: Open access, Cardiovascular medicine Source Type: research

New versus Traditional Approaches to Oral Anticoagulation in Patients with Atrial Fibrillation
Abstract: For clinicians, atrial fibrillation (AFib) is not a disease that will probably be “cured” at some point during their professional lifetime. (online video available at: http://education.amjmed.com/video.php?event_id=445&stage_id=5&vcs=1). AFib is a condition that occurs in association with aging, affecting as many as 1 in 10 patients by the time they reach age 85, and therefore all physicians who read The American Journal of Medicine should be aware of AFib—its etiology, how to recognize it, and with some idea of how it is treated. Perhaps the most important aspect of AFib, however, is as a risk factor for...
Source: The American Journal of Medicine - March 24, 2014 Category: Journals (General) Authors: James A. Reiffel Tags: CME multimedia activities Source Type: research

Atrial fibrillation: A moving target.
Abstract Present atrial fibrillation research focuses on three different fields of interest: Basic research to gain a better understanding of the mechanisms leading to atrial fibrillation, epidemiological studies to learn about the time course, the risk factors and the complications of atrial fibrillation, and clinical trials to further improve existing treatment strategies and develop new ones. The focus of this manuscript was the mechanisms, the epidemiology, the diagnosis and the treatment of the arrhythmia per se. Therefore, the field of prevention of stroke and systemic embolism is mostly excluded for the pur...
Source: Swiss Medical Weekly - December 30, 2014 Category: Journals (General) Authors: Eckstein J, Conen D, Kuehne M Tags: Swiss Med Wkly Source Type: research

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
Publication date: Available online 1 August 2019Source: The LancetAuthor(s): Zachi I Attia, Peter A Noseworthy, Francisco Lopez-Jimenez, Samuel J Asirvatham, Abhishek J Deshmukh, Bernard J Gersh, Rickey E Carter, Xiaoxi Yao, Alejandro A Rabinstein, Brad J Erickson, Suraj Kapa, Paul A FriedmanSummaryBackgroundAtrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial ...
Source: The Lancet - August 2, 2019 Category: General Medicine Source Type: research

Subclinical Atrial Fibrillation: A Silent Threat with Uncertain Implications
Annu Rev Med. 2021 Nov 17. doi: 10.1146/annurev-med-042420-105906. Online ahead of print.ABSTRACTAtrial fibrillation (AF) is one of the most common cardiac arrhythmias. Implantable and wearable cardiac devices have enabled the detection of asymptomatic AF episodes-termed subclinical AF (SCAF). SCAF, the prevalence of which is likely significantly underestimated, is associated with increased cardiovascular and all-cause mortality and a significant stroke risk. Recent advances in machine learning, namely artificial intelligence-enabled ECG (AI-ECG), have enabled identification of patients at higher likelihood of SCAF. Levera...
Source: Annual Review of Medicine - November 17, 2021 Category: General Medicine Authors: Anthony H Kashou Demilade A Adedinsewo Peter A Noseworthy Source Type: research

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research

Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review
This study will employ an equity-lens to identify sources of bias (ie, race/ethnicity, gender and social stratum) in ML algorithms designed to improve CVD risk assessment relative to the FRS. A comprehensive literature search will be completed using MEDLINE, Embase and IEEE to answer the research question: do AI algorithms that are designed for the estimation of CVD risk and that compare performance with the FRS address the sources of bias inherent in the FRS? No study date filters will be imposed on the search, but English language filters will be applied. Studies describing a specific algorithm or ML approach that provid...
Source: BMJ Open - May 31, 2023 Category: General Medicine Authors: Garcha, I., Phillips, S. P. Tags: Open access, General practice / Family practice Source Type: research