AI-Powered Personalized Approach Improves Diagnosis of Heart Condition, Especially for Women

Curated by THEOUTPOST

On Thu, 9 Jan, 12:05 AM UTC

4 Sources

Share

A new study led by UCL researchers reveals that current guidelines for diagnosing hypertrophic cardiomyopathy (HCM) may be missing cases in women due to outdated, one-size-fits-all criteria. An AI-powered personalized approach shows promise in improving diagnostic accuracy.

Outdated Guidelines Lead to Underdiagnosis of Heart Condition in Women

A groundbreaking study led by researchers at University College London (UCL) has revealed that current guidelines for diagnosing hypertrophic cardiomyopathy (HCM) may be failing to identify the condition in women due to outdated criteria that don't account for natural differences in sex and body size 1.

Understanding Hypertrophic Cardiomyopathy

HCM is a genetic condition affecting approximately one in 500 people in the UK. It causes the muscular wall of the heart to thicken, making it harder for the heart to pump blood effectively. This can lead to life-threatening complications such as abnormal heart rhythms, cardiac arrest, and sudden death 2.

The Problem with Current Diagnostic Methods

For the past 50 years, the threshold for diagnosing HCM has been a left ventricle wall thickness of 15 millimeters for all patients, regardless of age, sex, or body size. This one-size-fits-all approach, based on studies from the 1970s, has led to a significant disparity in diagnoses between men and women 3.

AI-Powered Personalized Approach

The research team developed an AI tool to analyze MRI heart scans with greater precision and speed than human capabilities. By examining 5,000 MRI scans of healthy hearts, they determined normal ventricle wall thickness for people of different ages, sexes, and sizes 1.

This data allowed them to establish personalized thresholds for abnormal wall thickness, taking into account an individual's age, sex, and body surface area. The new method sets higher thresholds for older, larger individuals and men, while lower thresholds are applied to younger, smaller individuals and women 2.

Improved Diagnostic Accuracy

When tested on 1,600 patients with clinically diagnosed HCM, the new approach showed particular benefits for women, increasing identification by 20 percentage points. Further testing on over 43,000 UK Biobank participants revealed a more balanced distribution between men and women, with women comprising 44% of those identified – a more realistic representation of HCM's equal prevalence across sexes 3.

Implications for Future Diagnoses

Dr. Hunain Shiwani, who led the research, emphasized the importance of this update: "Our research provides a long-overdue update, showing that a personalized approach improves the accuracy of diagnosis. Effective treatments for HCM are starting to be used for the first time, making it more important than ever that we can correctly identify those who need them" 4.

Next Steps

The research team aims to incorporate additional factors such as ethnicity and ensure the new thresholds work with echocardiogram scans, which are more commonly used in clinical settings. Their goal is to implement these personalized guidelines in Europe and America as soon as possible, ushering in a new era of accurate diagnosis for patients and families affected by hypertrophic cardiomyopathy 1.

Continue Reading
AI Model Identifies Female Patients at Higher Risk of Heart

AI Model Identifies Female Patients at Higher Risk of Heart Disease Using ECG Analysis

A new AI model developed by researchers at Imperial College London can identify female patients at higher risk of heart disease by analyzing electrocardiograms (ECGs), potentially improving early detection and treatment for women.

Medical Xpress - Medical and Health News logoScienceDaily logoNews-Medical.net logo

3 Sources

Medical Xpress - Medical and Health News logoScienceDaily logoNews-Medical.net logo

3 Sources

AI Outperforms Humans in Analyzing Long-Term ECG

AI Outperforms Humans in Analyzing Long-Term ECG Recordings, Study Finds

A large international study reveals that AI is 14 times more accurate than human technicians in analyzing long-term ECG recordings, potentially revolutionizing cardiac diagnostics and addressing global healthcare worker shortages.

ScienceDaily logoMedical Xpress - Medical and Health News logoNature logo

3 Sources

ScienceDaily logoMedical Xpress - Medical and Health News logoNature logo

3 Sources

New MRI Technique Shows Promise in Predicting Heart Failure

New MRI Technique Shows Promise in Predicting Heart Failure Risk

A groundbreaking MRI technique developed by researchers at University College London (UCL) and Royal Free Hospital could revolutionize heart failure diagnosis and risk assessment, potentially replacing invasive procedures.

Medical Xpress - Medical and Health News logoNews-Medical.net logo

2 Sources

Medical Xpress - Medical and Health News logoNews-Medical.net logo

2 Sources

AI-Powered ECG Analysis: A Breakthrough in Non-Invasive

AI-Powered ECG Analysis: A Breakthrough in Non-Invasive Heart Failure Prevention

Researchers from MIT and Harvard Medical School have developed CHAIS, an AI model that analyzes ECG data to predict heart failure risk, potentially replacing invasive procedures with comparable accuracy.

Massachusetts Institute of Technology logoMedical Xpress - Medical and Health News logo

2 Sources

Massachusetts Institute of Technology logoMedical Xpress - Medical and Health News logo

2 Sources

Transparent AI Revolutionizes Personalized Cardiovascular

Transparent AI Revolutionizes Personalized Cardiovascular Risk Assessment

A new machine learning approach developed by researchers at the University of Cambridge promises to enhance the accuracy of cardiovascular risk assessments while maintaining transparency. This method could lead to more tailored and effective preventive strategies for heart disease.

Medical Xpress - Medical and Health News logoNews-Medical.net logo

2 Sources

Medical Xpress - Medical and Health News logoNews-Medical.net logo

2 Sources

TheOutpost.ai

Your one-stop AI hub

The Outpost is a comprehensive collection of curated artificial intelligence software tools that cater to the needs of small business owners, bloggers, artists, musicians, entrepreneurs, marketers, writers, and researchers.

© 2025 TheOutpost.AI All rights reserved