AI/ML Innovations Inc. Introduces its Proprietary "Long ECG Neural Network"

Highlights:

• 100 million+ ECGs are performed annually in the USA.
• AIML's proprietary "Long ECG Neural Net" reduces labeling of long ECGs from several days to under 5 minutes.
• Provides unsurpassed accuracy, depth and insight into the cardiac data.

VICTORIA, BC / ACCESSWIRE / May 6, 2024 / AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), a leading company committed to acquiring and advancing Artificial Intelligence/Machine Learning technologies that address urgent societal needs, is proud to introduce its proprietary Long ECG Neural Net (L-ECG NN). The L-ECG NN provides cardiologists, researchers, pharmaceuticals and others, with a fast, accurate and comprehensive tool for the in-depth analysis and feature extraction of ECGs.

The Need for Improved Utilization of ECG Data

• "The ECG is the most commonly performed cardiovascular diagnostic procedure, with >100 million ECGs obtained annually in the United States."¹ (AHA Journals)
• Typical 24/48 hour-long ECGs, that are used in clinical trial, drug discovery, and specialist cases, take many days of effort for in-depth labeling, when relying on conventional, semi-automatic methods.
• "Even for an experienced cardiologist, accurately interpreting the ECG for a patient with concurrent arrhythmias is challenging" … "there is an urgent unmet need for an automated or assisted multilabel ECG diagnostic framework, supported by artificial intelligence technology."² (The Lancet)

The L-ECG NN Feature Set Advantage

AIML's Long ECG Neural Net displays many advantages over conventional methods of analyzing ECG data:

• Accurate: The L-ECG NN was trained and tested on human ECG data, providing accurate labeling with minimal (2ms) error.
• In-depth: Our proprietary AI analysis algorithm enables in-depth analysis and feature extraction of ECGs, allowing clinicians and researchers to quickly identify specific changes to the heartbeats of a long recording.
• Versatile: Our advanced AI analysis algorithm provides deep analysis of ECGs from multiple sources (e.g., holters, sleep studies, clinical drug trials).
• Comprehensive: While rudimentary traditional methods of ECG analysis only spot the R-peak, we label every waveform and its duration, providing comprehensive cardiac data insights.
• Fast: We are able to label all ECG features within minutes for ECGs of any size, rather than in days, as is the present case.
• Future potential: The L-ECG NN has the potential of using the features extracted to detect and predict cardiovascular diseases, and discovering new digital biomarkers for cardiac and chronic patients.

Product Configurations