Digital Pulse: AI accurately analyzes cardiac disease; AI can predict readmissions better than doctors; Your digital twin will test your treatment plan

AI accurately analyzes cardiac disease

AI is now accurately analyzing cardiac disease, according to a report in JMIR Cardio. The study looked at AI’s ability to analyze coronary angiography and assist with clinical decision-making by comparing its findings to intravascular ultrasound to validate its performance.

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Researchers found that the AI-based technology provided accurate and consistent measurements of coronary stenotic lesions similar to ultrasound. These findings suggest the AI could be safely used in clinical practice, according to the researchers.

AI beats doctors when it comes to predicting hospital readmissions

According to a study in Nature, a large language AI tool had a median accuracy of 77.8% compared to 62.8% for physicians when it comes to identifying which patients require intervention to reduce hospital readmissions.

Researchers used the model combined with fine tuning based on a small sample of local data to boost its accuracy. The same team of researchers also developed algorithms that can predict length of hospital stay, chance of in-hospital mortality, and chances of insurance claim denials.

One day, a digital twin will work hard to improve your life

A digital twin is a virtual replica of physical objects, processes or systems that are used to improve real-word activities through simulations and predictions. According to a report from Tata Consultancy Services, health care will be a prime spot to find a digital twin in the future.

According to the report, “digital twins of the human body can help ensure medical procedures are rehearsed and run smoothly, and enable highly personalized treatment.” Experts say this is at least 10 years away for the majority of patients because of the complexity of the human body and likely regulations.