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Heart disease in women is frequently missed and discounted, even though it is the number one cause of death globally. A new study shows A.I. of the ECG can accurately identify heart disease risk in women thelancet.com/journals/landi…

"Our work has underlined that #cardiovascular disease in females is far more complex than previously thought." 🫀 A new #AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). NHLI More👇imperial.ac.uk/news/261516/ai…

ECGs are the most common medical test performed around the world. A research team at Hammersmith Hospital is using AI to analyse these simple heart tracings and better understand wider health risks. Imperial College London | Fu Siong Ng | Arun Sau 1/2

A new AI model that flags female patients at risk of heart disease has been developed by Imperial researchers. With UK women twice as likely to die from coronary heart disease than breast cancer, this tool could help improve the rates of earlier detection and treatment.

NEW Research: #ArtificialIntelligence-enhanced electrocardiography (#ECG) for the identification of a sex-related #cardiovascular risk continuum. Arun Sau Fu Siong Ng Read it here: buff.ly/43fr45O

🏆🏆 📣📣YIA Double Congrats to Libor Pastika for winning not one, but TWO Young Investigators Awards at European Society of Cardiology European Association of Preventive Cardiology #eapc #ESCPrev2025 in Milan. Following in the illustrious footsteps of Arun Sau 🦶🦶 NHLI Imperial Medicine

Delighted to share that I have won two Young Investigator Awards at the #ESCPrev2025 in Milan - for Population Science and Public Health and for Primary Care and Risk Factor Management. Huge thanks to Fu Siong Ng and Arun Sau for their guidance and support.

Looking forward to Heart Rhythm Society #HRS2025 in San Diego. Good turnout from the Imperial CardiacEP.AI team: 5 talks + 4 posters, including a Young Investigator Award Finalist. Come to our sessions if you can make it. Arun Sau Libor Pastika Joseph Barker Boroumand Zeidaabadi Konstantinos Patlatzoglou NHLI

👏👏👏 Well done Boroumand Zeidaabadi Joseph Barker Arun Sau for 3 excellent talks at Heart Rhythm Society #HRS2025 today! Special congrats Boroumand Zeidaabadi for competing at YIA final and Arun Sau for mentoring him. NHLI Imperial EP Nicholas S Peters Libor Pastika Konstantinos Patlatzoglou Hesham Aggour

🥂🥂👏👏 Massive congratulations Boroumand Zeidaabadi for winning the Heart Rhythm Society #HRS2025 Young Investigator Competition!! Arun Sau Joseph Barker Libor Pastika Konstantinos Patlatzoglou Hesham Aggour Nicholas S Peters NHLI Imperial NHS 💙 BHFCoREImperial Imperial EP Imperial CardiacEP.AI British Heart Foundation

This thread highlights how a new AI model created by a team from Imperial NHS 💙 and NHLI can predict the risk of high blood pressure and potential complications using an electrocardiogram (ECG). Read our news story. ➡️ imperial.nhs.uk/about-us/news/…

Yesterday, Dr Arunashis Sau, academic clinical lecturer at NHLI and cardiology specialist registrar at Imperial NHS 💙, appeared on BBC Radio 4's Inside Health talking about how AI could change healthcare in the context of the 10 Year Plan. ➡️ bbc.co.uk/sounds/play/m0…

#AI in your GP visit? In @bbcsounds #InsideHealth, Dr Arunashis Sau reveals how AI-ECG could flag hidden heart risks before symptoms show and uncover patterns no human could. A game-changer for preventive care, powered by data and deep learning👇 bbc.co.uk/sounds/play/m0…

AI in your GP visit? 👩‍⚕️ Dr Arunashis Sau joins BBC Sounds #InsideHealth to explore how AI could predict future health risks and uncover patterns that humans would find almost impossible to perceive - transforming the care you receive. 🎧 Listen now: bbc.co.uk/sounds/play/m0…

AI can now detect hidden heart valve disease from a standard ECG – years before symptoms appear. Patients flagged as high-risk by an AI tool were ten times more likely to develop heart valve diseases. Researchers say, if implemented, it could help prevent thousands of deaths

A new study has shown that AI could help predict serious heart problems years in advance, just by using a simple ECG reading. The technology will be trialled in our hospitals later in 2025. ➡️ imperial.nhs.uk/about-us/news/… Imperial College London | Fu Siong Ng | Arun Sau

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study. Read more in the @EHJ at doi.org/10.1093/eurhea… #ArtificialIntelligence #Electrocardiography #ValvularHeartDisease @ESCardio European Society of Cardiology Journals