AI/ML Subsidiary Neural Cloud Begins Pilot at SickKids to Advance AI-Enabled Pediatric Cardiac Care

Rhea-AI Summary

Neural Cloud (OTCQB:AIMLF) announced a pilot with The Hospital for Sick Children (SickKids) beginning November 24, 2025 to evaluate its MaxYield™ AI platform in pediatric cardiac care. The project will test AI-driven ECG signal cleaning, beat-by-beat interval analysis, and multimodal models that combine ECG waveforms with clinical and textual data to predict cardiac deterioration in pediatric inpatients. The pilot is led by Dr. Cedric Manlhiot and will assess real-world performance, reliability, safety validation, drift monitoring, and fairness for potential future regulated medical uses.

• Pilot Project to Explore AI-Driven ECG Signal Processing and Predictive Deterioration Models in Pediatric Cardiac Care

TORONTO, ON / ACCESS Newswire / November 24, 2025 / NeuralCloud Solutions Inc. ("Neural Cloud"), a subsidiary of AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), is pleased to announce that it has entered into a pilot with The Hospital for Sick Children ("SickKids"), one of the world's premier pediatric health-science centers and research institutions, to evaluate Neural Cloud's proprietary MaxYield^™ platform in pediatric cardiac settings.

This project represents a significant milestone in applying advanced AI-based ECG signal processing to support early-stage detection of cardiac deterioration in children. Under the collaboration, NeuralCloud will provide secure, cloud-based access to its MaxYield^™ platform to support an emerging initiative, focused on developing advanced, real-world AI infrastructure to help predict cardiac deterioration in pediatric inpatients. The project will initially assess the performance of MaxYield^™ in cleaning and processing ECG waveform data, enabling multimodal AI models to combine ECG signals with clinical and textual data to predict complications earlier and more accurately.

MaxYield^™ uses neural-network signal enhancement to isolate and label P-waves, QRS complexes, and T-waves, delivering beat-by-beat interval analysis and structured outputs suitable for advanced AI workflows.

The pilot is led by Dr. Cedric Manlhiot, Ph.D., the Dr. William G. Williams Research Directorship in Cardiac Data Analytics and the Ted Rogers Innovator in Cardiovascular Precision Medicine at the Ted Rogers Centre for Heart Research. "Children with cardiac disease require precise monitoring, and early signals of deterioration are often subtle," said Dr. Cedric Manlhiot, "By integrating Neural Cloud's ECG signal-cleaning and processing capabilities into our research pipeline, we aim to enhance the accuracy, and real-world reliability of advanced AI models designed to support clinicians and families."

Dr. Manlhiot is an international leader in pediatric cardiovascular data science, with prior leadership roles at SickKids and Johns Hopkins University, where he oversaw initiatives advancing digital cardiology research and AI-driven precision care. Dr. Manlhiot's program seeks to develop a unified cardiology foundation model capable of real-time risk prediction, multi-modal data integration, and trustworthy AI-assisted decision support, including drift monitoring, safety validation, and fairness evaluation.

"Working with SickKids represents a tremendous opportunity to evaluate our platform in one of the most demanding clinical arenas," said Esmat Naikyar, President of Neural Cloud and Chief Product Officer at AIML. "Pediatric cardiology requires exceptional accuracy and robustness. We're glad to contribute to the development of improved early-warning systems for vulnerable patients."

"This collaboration marks an important step in evaluating our cardiac signal technology," said Paul Duffy, Executive Chairman and CEO of AIML. "Pediatric cardiology has stringent requirements for accuracy, reliability, and safety - and supporting teams focused on advancing cardiovascular care supports our goal of developing responsible, high-fidelity ECG tools. Piloting MaxYield^™ at SickKids helps inform our approach to future regulated medical applications."

About The Ted Rogers Centre for Heart Research

The Ted Rogers Centre for Heart Research, made possible through the generous support of The Rogers Foundation, is a unique partnership with the University Health Network, University of Toronto, and SickKids seeking to transform and dramatically improve the future of heart health for children, adults, and families across Canada and around the world.

About AI/ML Innovations Inc.

AIML Innovations Inc. is a global technology company pioneering the use of artificial intelligence and neural networks to transform digital health. Our proprietary platforms leverage advanced signal processing and deep learning to convert complex biometric data into actionable clinical insights-supporting earlier diagnosis, personalized treatment, and more effective care.

AIML's shares trade on the Canadian Securities Exchange (CSE:AIML), the OTCQB Venture Market (AIMLF), and the Frankfurt Stock Exchange (42FB).

For detailed information please see AIML's website or the Company's filed documents at www.sedarplus.ca.

Contact:
Blake Fallis (778) 405-0882

On behalf of the Board of Directors:
Paul Duffy, Executive Chairman and CEO

Neither the CSE nor its Regulation Services Provider (as that term is defined in the policies of the CSE) accepts responsibility for the adequacy or accuracy of this release.

Forward Looking Statements - Certain information set forth in this news release may contain forward-looking statements that involve substantial known and unknown risks and uncertainties, including risks associated with the implementation of the Company's products and services. These forward-looking statements are subject to numerous risks and uncertainties, certain of which are beyond the control of the Company, including with respect to the nature and timing of future operations and the receipt of all applicable regulatory approvals. Readers are cautioned that the assumptions used in the preparation of such information, although considered reasonable at the time of preparation, may prove to be imprecise and, as such, undue reliance should not be placed on forward-looking statements.

SOURCE: AI/ML Innovations, Inc.

View the original press release on ACCESS Newswire

FAQ

What is the scope of the Neural Cloud pilot at SickKids announced on November 24, 2025 (AIMLF)?

The pilot will evaluate MaxYield™ for ECG signal cleaning, beat-by-beat analysis, and multimodal AI models to predict pediatric cardiac deterioration.

Who is leading the SickKids pilot for Neural Cloud's MaxYield™ (AIMLF)?

The pilot is led by Dr. Cedric Manlhiot, Research Directorship in Cardiac Data Analytics at the Ted Rogers Centre for Heart Research.

What specific ECG features will MaxYield™ process in the AIMLF pilot at SickKids?

MaxYield™ isolates and labels P-waves, QRS complexes, and T-waves and delivers beat-by-beat interval analysis and structured outputs.

Will the SickKids pilot for AIMLF address model safety and bias?

Yes; the project includes safety validation, drift monitoring, and fairness evaluation as part of assessing real-world reliability.

Does the November 24, 2025 AIMLF announcement state the pilot's commercial terms or timeline?

No; the announcement describes the pilot's technical goals and leadership but does not disclose commercial value, contract terms, or a detailed timeline.