Heart and artificial intelligence: new predictive tools
Two studies by Inselspital and the University of Bern indicate that AI improves the prognosis of heart disease.
Context
In a nutshell
- AI improves the prognosis of heart disease.
- Two studies by Inselspital and the University of Bern.
- Predictive models already available online.
- What: Improved heart disease prognosis.
- When: Recently published research.
- Where: Inselspital and University of Bern.
- Who: Researchers from Inselspital and the University of Bern.
- Amount: Accuracy increased by 10-15% and 20%. Artificial intelligence (AI) is no longer a promise of the future, but a reality that is reshaping society. According to the latest data from the Swiss Digimonitor survey, about 80% of the Swiss population regularly uses AI systems at work or in private life. A share that practically doubled in just two years, driven mainly by young people between the ages of 15 and 34. In everyday life, AI can help in a long series of tasks, but this spread brings with it crucial questions related to addiction, privacy and other aspects that require constant and rigorous human vigilance. In Switzerland, four out of five people use AI Research, training and shopping tips are growing. Among young people, artificial intelligence is now part of everyday life https://rsi.cue.rsi.ch/info/svizzera/In-Svizzera-quattro-persone-su-cinque-utilizzano-IA--4011860.html AI is present practically everywhere, including in the health sector. In research laboratories Put to the test, the model proved to be significantly more accurate than the currently most accredited international scoring systems. The accuracy in predicting the risk of death or hospitalisation for heart failure increased by up to 20%, depending on the group of patients analysed. Artificial intelligence: the challenge is to remain human At 60 minutes, the debate conducted by Reto Ceschi analysed opportunities, cognitive risks of the technological siege, invisible work and democratic responsibility of AI https://rsi.cue.rsi.ch/info/scienza-e-tecnologia/Intelligenza-artificiale-la-sfida- A8-restare-umani--3806273.html Despite the greater precision of these tools, the scientists want to clarify that the machine does not replace cardiologists and cardiologists, as specified by Dr. Christoph Gräni, head of the Inselspital University Cardiology Clinic and coordinator of both researches. “Our models help recognize individual differences more reliably and tailor treatment to the individual patient. AI supports medical decision-making, but does not replace it. ”
Operational details
Practical Implications for Swiss Patients
These advances in AI could have a significant impact on the management of heart diseases in Switzerland. Predictive models can help doctors identify patients at higher risk, allowing for timely and personalized interventions. This could reduce the number of hospitalizations and improve the quality of life for patients.
Comparison with the Previous Situation
Before the introduction of these AI models, doctors relied on standard risk scores that did not account for individual variations. With AI, it is possible to obtain a more accurate prognosis, which can directly influence the treatment plan and the frequency of medical check-ups.
Future Scenarios
If these predictive models are adopted on a large scale, they could become a standard tool in daily clinical practice. This could lead to more efficient management of healthcare resources and better allocation of medical services.
Procedure for Patients
Patients who wish to benefit from these new predictive tools should consult their general practitioner or cardiologist. Doctors can use these models to assess individual risk and plan the most appropriate treatment.
Available Tools
The predictive models developed by Inselspital and the University of Bern are already available online as free-access tools for the scientific community. This allows doctors to access these resources and use them in clinical practice.
Conclusion
AI is revolutionizing the field of cardiology, offering more precise and personalized tools for the management of heart diseases. However, it is important to remember that these tools are designed to support doctors and not to replace them. Human supervision remains essential to ensure quality care.
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Key points
Actions for Swiss Patients
Patients interested in benefiting from these new predictive tools should consult their primary care physician or cardiologist specialist. It is important to discuss treatment options and customized control plans based on the results of AI models.
Deadlines and Procedure
Patients should schedule regular medical visits to monitor their heart condition. Clinicians can use predictive models to assess individual risk and plan timely interventions.
Useful Tools
For more information on predictive models and how they can be used in clinical practice, patients can consult the resources available online. These tools are designed to support physicians in managing heart disease and improving patients' quality of life.
Final CTA
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Source: rsi.ch
Frequently Asked Questions
- How can AI improve the prognosis of heart disease?
- AI can analyze huge volumes of clinical data to detect patterns and correlations invisible to the human eye, improving prognostic accuracy.
- What are the advantages of the predictive models developed by Inselspital and the University of Bern?
- Predictive models improve the accuracy of the long-term prognosis by 10-15% and 20%, allowing timely and personalized interventions.
- How can patients benefit from these new tools?
- Patients can consult their primary care physician or cardiologist specialist to discuss treatment options and personalized control plans based on the results of AI models.