Measurements with a miniature camera inside the coronary arteries can accurately predict whether someone will suffer a recurrent heart attack. Until now, interpreting these images was so complex that only specialized laboratories could perform it.
Concerned about the ability of artificial intelligence models trained on data from urban demographics to make the right medical diagnoses for rural populations, West Virginia University computer scientists have developed several AI models that can identify signs of heart failure in patients from Appalachia.
An AI-enabled stethoscope can help doctors pick up three heart conditions in just 15 seconds, according to the results of a real-world trial presented at the European Society of Cardiology’s annual congress in Madrid.
GE HealthCare (Nasdaq: GEHC)+
today announced the launch of Vivid Pioneer, its newest, most advanced cardiovascular ultrasound system.
A new diagnostic method would confirm sepsis infections earlier, cutting critical hours in the “race against time” to save patients’ lives.
When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means. Now, researchers at the Icahn School of Medicine at Mount Sinai have developed a powerful new way to determine whether a patient with a mutation is likely to actually develop disease, a concept known in genetics as penetrance.
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
Philips (NYSE: PHG)+ announced today that it launched Transcend Plus, the next generation of its cardiovascular ultrasound offerings.
An AI tool could help cardiologists identify and target cells that trigger arrhythmia in patients with ventricular tachycardia, a serious heart condition.
Researchers at Baylor College of Medicine have developed an artificial intelligence (AI) model that reveals how protein modifications link genetic mutations to disease. The method, called DeepMVP and published in Nature Methods, significantly outperforms previously published models and has implications for the development of novel therapeutics.