Search Results

Prediction of early death after atrial fibrillation diagnosis using a machine learning approach: A French nationwide cohort study.

• Authors : Bisson, Arnaud; Lemrini, Yassine; Romiti, Giulio Francesco

• Source: American Heart Journal; Nov2023, Vol. 265, p191-202, 12p

Record details

Top stories: Atrial fibrillation diagnosis.

• Authors : Marcus GM; Division of Cardiology, Department of Medicine, University of California-San Francisco, San Francisco, California. Electronic address: .; Noubiap JJ

Subjects: Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/diagnosis ; Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/physiopathology; Humans

• Source: Heart rhythm [Heart Rhythm] 2024 Aug; Vol. 21 (8), pp. 1452-1453.Publisher: Elsevier Country of Publication: United States NLM ID: 101200317 Publication Model: Print Cited Medium: Internet ISSN: 1556-3871

Record details

New Atrial Fibrillation Findings from Fudan University Discussed (Build a Bridge Between Ecg and Eeg Signals for Atrial Fibrillation Diagnosis Using Ai Methods)

• Source: Obesity, Fitness & Wellness Week. November 11, 2023, 3159

Record details

External Validation of SAFE Score to Predict Atrial Fibrillation Diagnosis after Ischemic Stroke: A Retrospective Multicenter Study

• Authors : Quesada López, Miguel; Amaya Pascasio, Laura; Blanco Madera, Sara

• Source: Stroke Research and Treatment. December 7, 2023, Vol. 2023

Record details

Findings from Rome Advance Knowledge in Atrial Fibrillation (Prediction of early death after atrial fibrillation diagnosis: a french nationwide study)

• Source: Obesity, Fitness & Wellness Week. June 17, 2023, 1893

Record details

Atrial Fibrillation Diagnosis May Increase Risk of Memory Decline

• Source: Women's Health Advisor. January, 2024, Vol. 28 Issue 1, p2, 1 p.

Record details

Findings from University of British Columbia Provide New Insights into Atrial Fibrillation (Automated Atrial Fibrillation Diagnosis by Echocardiography without ECG: Accuracy and Applications of a New Deep Learning Approach).

• Source: Health & Medicine Week. 2024, pages. 2559

Record details

Automated Atrial Fibrillation Diagnosis by Echocardiography without ECG: Accuracy and Applications of a New Deep Learning Approach.

• Authors : Lu N; Division of Cardiology, Department of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada.; Vaseli H

• Source: Diseases (Basel, Switzerland) [Diseases] 2024 Feb 09; Vol. 12 (2). Date of Electronic Publication: 2024 Feb 09.Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101636232 Publication Model: Electronic Cited Medium: Print ISSN: 2079-9721

Record details

Robust Artificial Intelligence Tool for Atrial Fibrillation Diagnosis: Novel Development Approach Incorporating Both Atrial Electrograms and Surface ECG and Evaluation by Head-to-Head Comparison With Hospital-Based Physician ECG Readers.

• Authors : Zhang Y; Department of Cardiovascular Surgery General Hospital of Northern Theater Command Shenyang Liaoning China.; Xu S

Subjects: Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/diagnosis; Humans ; Artificial Intelligence

• Source: Journal of the American Heart Association [J Am Heart Assoc] 2024 Feb 06; Vol. 13 (3), pp. e032100. Date of Electronic Publication: 2024 Jan 23.Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101580524 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details

[Perioperative atrial fibrillation : Diagnosis with underestimated relevance].

• Authors : Adamowicz S; Klinik für Anästhesiologie, LMU Klinikum München, Marchioninistr. 15, 81377, München, Deutschland. .; Kilger E

Subjects: Atrial Fibrillation*/Atrial Fibrillation*/Atrial Fibrillation*/diagnosis ; Cardiac Surgical Procedures*/Cardiac Surgical Procedures*/Cardiac Surgical Procedures*/adverse effects; Humans

• Source: Die Anaesthesiologie [Anaesthesiologie] 2024 Feb; Vol. 73 (2), pp. 133-144. Date of Electronic Publication: 2024 Jan 29.Publisher: Springer Medizin Country of Publication: Germany NLM ID: 9918384886806676 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

Record details