Cardiology, in particular, offers a clear view into why so many AI solutions struggle to scale and what differentiates those that are poised for adoption. Across healthcare, AI-enabled diagnostic solutions are flooding the market. From cardiology and imaging to oncology and primary care, clinicians are being asked to evaluate algorithms that promise earlier detection, better accuracy, and more efficient care. Many of these tools are technically impressive. Some are FDA-cleared. A few even come with early clinical data. Yet only a relatively small number have become part of routine clinical practice.
The Real Test for AI Diagnostics Isn’t Performance — It’s Clinical Adoption
Related Articles
Inside Mayo Clinic’s AI Factory: How Mayo Clinic is looking to use AI to enhance patient care and clinical decision making
AI Data & Analytics Network: One of the most consequential applications of artificial intelligence (AI) and machine learning (ML) is medicine. Though medical AI is still in its infancy, experts predict that within the…{post_date: F d, Y}
Anumana to Showcase AI-Driven Cardiovascular Solutions at AHA and NAPCRG 2024
Company to highlight how its ECG-AI® algorithms enable earlier cardiovascular disease detection{post_date: F d, Y}
Anumana and InfoBionic.Ai Announce Collaboration to Advance AI-powered Remote Cardiac Telemetry Technology for Early Detection of Cardiac Diseases
Anumana and InfoBionic.Ai Announce Collaboration to Advance AI-powered Remote Cardiac Telemetry Technology for Early Detection of Cardiac Diseases CAMBRIDGE, Mass. – June 25, 2024 – Anumana, a leading AI-driven health…{post_date: F d, Y}
Anumana Named to Fierce Medtech’s 2022 Fierce 15
AI-driven startup from nference and Mayo Clinic Platform positioned to transform cardiac care{post_date: F d, Y}