Oct. 30, 2024 — HeartLung Technologies, a developer of AI tools for early detection of heart disease, lung cancer and other conditions announced that its AI-enabled Automated Cardiac Chambers Volumetry (AutoChamber) recently received “Breakthrough Medical Device” designation and marketing authorization from the U.S. Food and Drug Administration.
AutoChamber is an AI-powered tool that reports the volume of cardiac chambers and left ventricular wall mass in non-contrast computed tomography (CT) scans such as heart scans for coronary artery calcium (CAC) score, and lung scans for lung cancer screening and other diagnostic chest CT scans. AutoChamber also works on coronary CT angiography (CCTA) scans.
“By adding AutoChamber AI to thoracic CT scans including coronary artery calcium (CAC) and coronary CT angiography (CCTA), doctors not only can evaluate coronary disease but also the risk of heart failure, atrial fibrillation and stroke which are not reported today. The opportunity is even greater in millions of lung CT scans,” said Dr. Morteza Naghavi, founder and president of HeartLung Technologies, and founder of nonprofit SHAPE (Society for Heart Attack Prevention and Eradication).
AutoChamber leverages deep learning based artificial intelligence and a large number of chest CT scans performed each year for purposes such as diagnostic chest workup, lung cancer screening, CAC scoring, and CCTA. By adding AutoChamber AI to CAC scans and analyzing both coronary artery plaque calcification and cardiac chambers volume, HeartLung plans to introduce AI-CAC and AI-CVD which have the potential to advance preventive cardiology.
Today, asymptomatic patients with enlarged cardiac chambers that undergo these CT scans are often missed and their condition is not flagged in radiology or cardiology CT reports. Sadly, many of them will be detected when they are symptomatic in late stages of the disease where the window of opportunity for reversing their heart disease is narrow or even closed.
“This is a real breakthrough that can help save many lives from unexpected stroke and heart failure,” said Dr. David Yankelevitz, professor of radiology at Icahn School of Medicine at Mount Sinai Hospital, New York, coauthor in several publications that used AutoChamber AI in Multi-Ethnic Study of Atherosclerosis sponsored by the National Institute of Health. “We plan to add this AI to our lung cancer screening population who are high risk for cardiovascular events. Now that this technology is FDA approved, it can also be applied to chest CT scans obtained for calcium score and CCTA. This adds a potentially lifesaving new dimension to these exams.”
The AI which takes 15-20 seconds to flag these patients creates a quantitative imaging report with appropriate percentiles and cutoff points that help physicians to take necessary actions.
HeartLung presented to the FDA several studies that compared the AI-enabled CT measurements with cardiac MRI, contrast-enhanced cardiac CT, NT-proBNP, CHARGE-AF Risk Score, ASCVD Pooled Cohort Equation, and PREVENT Risk Scores. In these studies, the AutoChamber AI convincingly outperformed the traditional epidemiological risk scores, and predicted heart failure, atrial fibrillation and stroke comparably to cardiac MRI and contrast-enhanced CT scans (see references).
“I feel strongly about the opportunity AutoChamber may have to evaluate cardiovascular risk for the millions of persons getting chest CT scans worldwide, in particular for lung cancer screening and other non-cardiac reasons” said Dr. Nathan Wong, a professor of medicine and epidemiology at University of California, Irvine who participated in AutoChamber studies and scientific publications. “The potential is for identifying those at increased risk who could benefit from earlier intervention to improve outcomes.”
The “Breakthrough” value proposition of AutoChamber AI for population health lies in its ability to opportunistically screen millions of CT scans that are done for other reasons and help doctors detect high-risk patients for cardiovascular disease (CVD) and sudden cardiac death (SCD). This unique aspect makes AutoChamber a cost and time-saving solution for physicians and healthcare system. There is a long list of diseases that can cause enlarged heart or enlarged cardiac chambers. By flagging these cases, AutoChamber AI alerts physicians to take necessary diagnostic steps to detect and treat the underlying disease in these patients who are currently missed.
“There is a lot of useful information in a heart or lung CT scan that is not currently reported because radiologists are unable to efficiently visualize or quantitatively evaluate the relevant diagnostic image features.” said Dr. Anthony Reeves, professor of electrical engineering and computer vision at Cornell University who participated in AutoChamber research studies and scientific publications. “AI-enabled algorithms like AutoChamber can fill this gap without imposing extra work on radiologists”
The AI report is patient-friendly with color-coded percentiles and snapshots of the heart chambers that patients can easily visualize and understand. AutoChamber AI can save lives by enabling doctors and patients to take necessary steps to stop the progression of the underlying disease and reverse the enlarged heart before it is too late. The FDA Breakthrough Device designation for AutoChamber follows the FDA’s recent clearance of HeartLung’s AutoBMD, an AI-powered opportunistic bone density measurement test that works on any CT scan of the chest and abdomen to help doctors quickly identify patients who are having accelerated bone loss and are at risk of cracks, compressions or fractures in their bones which can be deadly in the elderly population.
“Our team is working hard to build the first autonomous AI for early detection and averting preventable death due to heart disease, lung cancer, osteoporosis, fatty liver disease, and other conditions which are today often detected in late and fatal stages.” added Dr. Naghavi.
For more information, visit www.heartlung.ai
December 05, 2024 
