Accuracy of AI Models for Heart Disease Detection

AI Spots a Rare Heart Killer from a Single Echo—Now with FDA Breakthrough Status Cardiac amyloidosis is often missed until it’s too late. A new AI-enhanced echocardiography tool can flag it from one standard echo video clip—and it just received FDA Breakthrough Device designation. Why this matters: First commercially available AI echo tool to screen for amyloid cardiomyopathy Performance: AUROC 0.93, 85% sensitivity, 93% specificity, 96% NPV Impact: Earlier detection → earlier treatment → better outcomes for a notoriously underdiagnosed cause of heart failure Clinician takeaways: Consider AI screening in patients with unexplained LV wall thickening, HFpEF features, or overlapping phenotypes (e.g., HTN, HCM, AS) One clip, minimal workflow friction—ideal for broad screening in echo labs I’ve long advocated for the shift from reactive to proactive medicine. This is that future—arriving in the echo suite. Would you pilot this in your lab? What safeguards or workflows would you want in place first? (Link in comments.) #AIinHealthcare #Cardiology #Echocardiography #DigitalHealth #MedicalAI #Amyloidosis #HeartFailure #EarlyDiagnosis #HealthTech #FDA #MayoClinic

Imperial-led trial shows Eko Health’s AI stethoscope could transform early detection of major heart conditions >> 🩺 Doctors at Imperial College London and the NHS have led a major trial showing the Eko AI-enabled stethoscope can detect heart failure, heart valve disease and abnormal heart rhythms in just 15 seconds 🩺The stethoscope combines sound recording with a rapid ECG and sends the data to the cloud, where AI trained on tens of thousands of cases spots subtle problems the human ear can’t detect 🩺 In a study across 205 UK GP practices and over 12,000 patients with symptoms such as fatigue or breathlessness, those examined with the AI tool were more than twice as likely to be diagnosed with heart failure, nearly twice as likely to have valve disease identified, and 3.5 times more likely to be diagnosed with atrial fibrillation 🩺 Most people with heart failure today are only diagnosed when they reach A&E seriously ill; this tool could shift detection much earlier in primary care 🩺 The device is about the size of a playing card and links results directly to a smartphone, giving GPs an almost instant risk flag 📍The results were presented at the European Society of Cardiology congress in Madrid #digitalhealth #ai

Recently a 14 year old tech whiz developed an AI app that can detect signs of heart failure in 7 seconds. His invention Circardian AI uses a smartphone's microphone to record heart sounds which are then analyzed with AI providing rapid pre-screening for potentially life threatening conditions. The phone has to simply be placed near the chest and Circadian AI can "listen" to the heart. It has achieved 96% accuracy in clinical trials involving almost 19,000 patients across the US and India. In the US, efforts may focus on integrating a tool like this into existing hospital IT systems, streamlining data ingestion, and securely storing information in the cloud. However, in lower resource settings, where access to preventative care is limited and the nearest cardiologist may be a day’s travel away, this AI model could have an immediate and transformative impact. According to the World Health Organization cardiovascular disease remains the leading cause of death worldwide, highlighting the critical role AI-driven tools can play in addressing this global health challenge. #cardiologyAI #digitalhealth #healthcareIT #cardiology #globalhealth More about the creator: Siddharth Nandyala https://lnkd.in/dhge4thy About Circadian AI: https://lnkd.in/dURf7dz7