Revolutionary AI-powered technology detects multiple abdominal pathologies simultaneously

▴ abdominal pathologies
It is important that when working with a comprehensive service, the doctor can pay attention even to those pathologies that are not the subject of the examination. Such incidental identification of dangerous abnormalities can save the patient’s life,” explained Anastasia Rakova.

The first complex artificial intelligence service for searching for abdominal diseases began operating in Moscow. The algorithm is able to immediately find signs of 6 pathologies in one computed tomography image, for 3 of which Moscow healthcare doctors have not yet had the opportunity to use artificial intelligence: urolithiasis, liver formations and kidney formations. This was stated at the Russian Diagnostic Summit by the Deputy Mayor of Moscow for Social Development Anastasia Rakova.

“In an experiment to introduce computer vision technologies into healthcare, a comprehensive artificial intelligence service began operating, which finds signs of 6 diseases in computed tomography images of the abdominal organs. The complex included 3 new areas: urolithiasis, liver formations, kidney formations and 3 already existing ones: adrenal formations, compression fracture of vertebral bodies, and abdominal aortic aneurysm. All these diseases are very serious; they affect not only health but also human life.

In total, 5 complex artificial intelligence services are already working in the experiment. The new service is the first to search for diseases of the abdominal cavity; the rest work to identify pathologies of the chest organs. Among them, one of the services is able to detect signs of ten pathologies on a computed tomogram: adrenal gland formations, lung cancer, pulmonary hypertension, pneumonia, osteoporosis and wedge-shaped deformation of the vertebral bodies, thoracic aortic aneurysm, hydrothorax, pulmonary emphysema, coronary heart disease according to the degree of calcification of the coronary arteries and the volume of paracardial fat. Two complex services identify signs of seven pathologies and 1 complex service – 8

“The first step in opening an experimental area is to determine its relevance in the public health care system. We analyze the number of studies carried out per year in medical organizations of the Department of Healthcare, determine the most frequently performed of them and the most frequently detected pathologies. Next, we announce on the website https://mosmed.ai/ the areas in which we are ready to accept intellectual developments for participation in the experiment, and publish diagnostic and functional requirements for them. Developers create solutions, which we then test and, in case of successful test results, the service is allowed to work with real studies conducted in Moscow medical organizations. This way, only proven artificial intelligence services in popular areas become available to doctors,” Yuri Vasilev, Senior Consultant for Radiology of Moscow, CEO of the Center for Diagnostics and Telemedicine of the Moscow Department of Health, said in more detail.

Neural networks are used to process images of imaging tests obtained during fluorography, mammography, radiography, computed tomography and magnetic resonance imaging. Today, the project includes more than 50 artificial intelligence-based services in 26 modalities of research that help radiologists recognize various diseases.

The algorithms work within the framework of the Experiment for the implementation of computer vision technologies in healthcare - a project of the Social Development Complex of the Moscow City Hall on the basis of the Center for Diagnostics and Telemedicine with the support of the Department of Information Technologies.

 

Tags : #AI #pathologist #abdominal #moscow #tomography #medicircle

About the Author


Team Medicircle

Related Stories

Loading Please wait...

-Advertisements-




Trending Now

Walking 30 Minutes a Day: A Simple Proven Solution to Lower Back Pain RecurrenceJune 22, 2024
Tragic Illicit Liquor Incident in Kallakurichi: Rising Deaths Prompt Swift Government ActionJune 22, 2024
Gleneagles Hospital Kengeri Launches South India's First 5G-Enabled Ambulance Service in Partnership with MedulanceJune 21, 2024
Asaya's Mission to Redefine Skincare for Melanin-Rich Individuals Gains MomentumJune 21, 2024
Alyve Health Gains $5.5 Million Funding to Expand and Innovate Health TechJune 21, 2024
Mobile-health Network Solutions [MaNaDr] to Offer GLP-1 Injectables for Medical Weight Loss from USD10/DayJune 20, 2024
Understanding Hemophilia: The Hidden Disorder Affecting Many in IndiaJune 20, 2024
Reducing the Risk of Childbirth Injuries: The Role of Lateral EpisiotomyJune 20, 2024
New Study Reveals How Menopause Affects Kidney Function and Dental HealthJune 20, 2024
Alka Yagnik Opens Up About Rare Hearing Loss and Importance of Hearing HealthJune 20, 2024
Severe Heatwave Grips Delhi: Over 19 Deaths Reported Amid Sweltering TemperaturesJune 20, 2024
Healthy Living at the Grassroots: PM Modi's Holistic Approach with Yoga and MilletsJune 20, 2024
A First-of-its-Kind Landmark Minimally Invasive Heart Surgery Saves Dog in IndiaJune 20, 2024
Japan Battles Surge in Deadly Streptococcal Toxic Shock Syndrome CasesJune 20, 2024
HRS Navigation announces aggressive hiring plans for its R&D and Clinical Support teamsJune 19, 2024
Vikram Solar Wins 393.9 MWp Module Supply Order for NLC India’s Khavda Solar ProjectJune 18, 2024
AIMS Organizes Blood Donation Camp on World Blood Donor DayJune 17, 2024
Preparing for the Future: FDA's New COVID-19 Vaccine Recommendation Focuses on KP.2June 17, 2024
From Pap Tests to HPV Screening: A New Era in Cervical Cancer PreventionJune 17, 2024
HR Conclave Focusing on Future-Forward Engineering heldJune 15, 2024