Subj : AI finds a way to people's hearts (liter To : All From : ScienceDaily Date : Thu Jul 06 2023 22:30:32 AI finds a way to people's hearts (literally!) Unveiling a groundbreaking and accurate AI-based method to classify cardiac function and disease using chest X-Rays Date: July 6, 2023 Source: Osaka Metropolitan University Summary: Scientists have successfully developed a model that utilizes AI to accurately classify cardiac functions and valvular heart diseases from chest radiographs. The Area Under the Curve, or AUC, of the AI classification showed a high level of accuracy, exceeding 0.85 for almost all indicators and reaching 0.92 for detecting left ventricular ejection fraction -- an important measure for monitoring cardiac function. Facebook Twitter Pinterest LinkedIN Email ========================================================================== FULL STORY ========================================================================== AI (artificial intelligence) may sound like a cold robotic system, but Osaka Metropolitan University scientists have shown that it can deliver heartwarming -- or, more to the point, "heart-warning" -- support. They unveiled an innovative use of AI that classifies cardiac functions and pinpoints valvular heart disease with unprecedented accuracy, demonstrating continued progress in merging the fields of medicine and technology to advance patient care. The results will be published in The Lancet Digital Health. Valvular heart disease, one cause of heart failure, is often diagnosed using echocardiography. This technique, however, requires specialized skills, so there is a corresponding shortage of qualified technicians. Meanwhile, chest radiography is one of the most common tests to identify diseases, primarily of the lungs. Even though the heart is also visible in chest radiographs, little was known heretofore about the ability of chest radiographs to detect cardiac function or disease. Chest radiographs, or chest X-Rays, are performed in many hospitals and very little time is required to conduct them, making them highly accessible and reproducible. Accordingly, the research team led by Dr. Daiju Ueda, from the Department of Diagnostic and Interventional Radiology at the Graduate School of Medicine of Osaka Metropolitan University, reckoned that if cardiac function and disease could be determined from chest radiographs, this test could serve as a supplement to echocardiography. Dr. Ueda's team successfully developed a model that utilizes AI to accurately classify cardiac functions and valvular heart diseases from chest radiographs. Since AI trained on a single dataset faces potential bias, leading to low accuracy, the team aimed for multi-institutional data. Accordingly, a total of 22,551 chest radiographs associated with 22,551 echocardiograms were collected from 16,946 patients at four facilities between 2013 and 2021. With the chest radiographs set as input data and the echocardiograms set as output data, the AI model was trained to learn features connecting both datasets. The AI model was able to categorize precisely six selected types of valvular heart disease, with the Area Under the Curve, or AUC, ranging from 0.83 to 0.92. (AUC is a rating index that indicates the capability of an AI model and uses a value range from 0 to 1, with the closer to 1, the better.) The AUC was 0.92 at a 40% cut-off for detecting left ventricular ejection fraction -- an important measure for monitoring cardiac function. "It took us a very long time to get to these results, but I believe this is significant research," stated Dr. Ueda. "In addition to improving the efficiency of doctors' diagnoses, the system might also be used in areas where there are no specialists, in night-time emergencies, and for patients who have difficulty undergoing echocardiography." * RELATED_TOPICS o Health_&_Medicine # Heart_Disease # Mesothelioma # Stroke_Prevention # Diseases_and_Conditions o Computers_&_Math # Computer_Modeling # Mathematical_Modeling # Mathematics # Information_Technology * RELATED_TERMS o Defibrillation o Artificial_heart o CPR o Electrocardiogram o Heart_failure o Heart o Heart_rate o South_Beach_diet ========================================================================== Print Email Share ========================================================================== ****** 1 ****** ***** 2 ***** **** 3 **** *** 4 *** ** 5 ** Breaking this hour ========================================================================== * First_Snapshots_of_Fermion_Pairs * Why_No_Kangaroos_in_Bali;_No_Tigers_in_Australia * New_Route_for_Treating_Cancer:_Chromosomes * Giant_Stone_Artefacts_Found:_Prehistoric_Tools * Astonishing_Secrets_of_Tunicate_Origins * Most_Distant_Active_Supermassive_Black_Hole * Creative_People_Enjoy_Idle_Time_More_Than_Others * Restoring_Fragile_X_Protein_Production * Earth's_Solid_Metal_Sphere_Is_'Textured' * Elephants_Vary_Their_Dinner_Menu_Day-To-Day Trending Topics this week ========================================================================== HEALTH_&_MEDICINE Patient_Education_and_Counseling Birth_Defects Cholesterol MIND_&_BRAIN Educational_Psychology Stroke Autism LIVING_&_WELL Fitness Healthy_Aging Nutrition ========================================================================== Strange & Offbeat ========================================================================== HEALTH_&_MEDICINE Holograms_for_Life:_Improving_IVF_Success Grocery_Store_Carts_Set_to_Help_Diagnose_Common_Heart_Rhythm_Disorder_and Prevent_Stroke DNA_Can_Fold_Into_Complex_Shapes_to_Execute_New_Functions MIND_&_BRAIN AI_Tests_Into_Top_1%_for_Original_Creative_Thinking Everyone's_Brain_Has_a_Pain_Fingerprint_--_New_Research_Has_Revealed_for_the First_Time Scientists_Discover_Spiral-Shaped_Signals_That_Organize_Brain_Activity LIVING_&_WELL Illusions_Are_in_the_Eye,_Not_the_Mind Amputees_Feel_Warmth_in_Their_Missing_Hand Why_Do_Champagne_Bubbles_Rise_the_Way_They_Do?_Scientists'_New_Discovery_Is Worthy_of_a_Toast Story Source: Materials provided by Osaka_Metropolitan_University. Note: Content may be edited for style and length. ========================================================================== Journal Reference: 1. Daiju Ueda et al. Artificial intelligence-based model to classify cardiac functions from chest radiographs: a multi-institutional, retrospective model development and validation study. The Lancet Digital Health, 2023 DOI: 10.1016/S2589-7500(23)00107-3 ========================================================================== Link to news story: https://www.sciencedaily.com/releases/2023/07/230706190150.htm --- up 1 year, 18 weeks, 3 days, 10 hours, 50 minutes * Origin: -=> Castle Rock BBS <=- Now Husky HPT Powered! (1:317/3) .