AFIB Research Technology 
DAIC
JANUARY 29, 2025
16, 2025 Primary results from the DEFINE AFib clinical study show the Medtronic LINQ family of insertable cardiac monitors (ICM), paired with a novel algorithm, were able to detect atrial fibrillation episodes and properly risk stratify patients as high risk prior to an AF-related healthcare utilization 80% of the time. Piccini, M.D.,
Medical Xpress - Cardiology
NOVEMBER 22, 2024
Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions.
DAIC
FEBRUARY 2, 2024
The results support the use of workflows to reduce radiation exposure during catheter ablation for the treatment of paroxysmal atrial fibrillation (AFib) while maintaining safety, efficacy, and long-term patient outcomes comparable to traditional procedures.1 Circulation Research. Int J Stroke. 2021 Feb;16(2):217-221.
DAIC
FEBRUARY 27, 2024
Patients with NVAF deemed appropriate for LAAX to reduce the risk of stroke and systemic embolism, will participate in this research effort. It's exciting to be part of the evolution of the latest technology into a tangible solution for treating patients. I look forward to seeing the results from this US clinical trial."
Frontiers in Cardiovascular Medicine
DECEMBER 19, 2023
Background The rising adoption of wearable technology increases the potential to identify arrhythmias. Research is needed to determine the implications of these alarms and appropriate follow-up. However, specificity of these notifications is poorly defined and may cause anxiety and unnecessary resource utilization.
Journal of Cardiovascular Electrophysiology
OCTOBER 3, 2024
Abstract Introduction Atrial fibrillation (Afib) is a prevalent chronic arrhythmia associated with severe complications, including stroke, heart failure, and increased mortality. Results/Observation Current Afib detection methods, such as electrocardiography, have limitations in sensitivity and specificity.
Mobi Health News - ECG
SEPTEMBER 17, 2024
The AI lineup currently covers both continuous ECG tracking and AFib detection. Mobihealth News spoke with Yuichi Tamura, CEO of Cardio Intelligence, who discussed more about their latest work in detecting AFib and how they are helping Japan shed light on this silent threat. You are currently developing a new AI to detect AFib.
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