AI-driven diagnostics.
The benefits of this key technology for hospitals.
The benefits of this key technology for hospitals.
At hospitals and clinics, time is often of the essence and should be used as effectively as possible. As a key technology, artificial intelligence (AI) can lighten medical professionals’ workloads particularly when it comes to diagnostic imaging. On top of the time savings, the solution also facilitates decision-making to create a high-quality foundation for diagnoses and therefore added value for patients.
At hospitals and clinics, time is often of the essence and should be used as effectively as possible. As a key technology, artificial intelligence (AI) can lighten medical professionals’ workloads particularly when it comes to diagnostic imaging. On top of the time savings, the solution also facilitates decision-making to create a high-quality foundation for diagnoses and therefore added value for patients.
An extension to The Hospital Future Act (KHZG) deadline means hospitals have until the end of 2024 to roll out AI-based automated processes backed by state financial aid.
AI in imaging.
One of the biggest benefits of AI is in the processing and analysis of massive volumes of data—and at a breathtaking speed to boot. For this reason, it is seen as a key technology in the healthcare industry and is used in a wide-range of applications—from monitoring chronic conditions and robot-assisted surgery to clinical decision support (CDS) in imaging. By independently analysing data, it can detect patterns of anomalies and disease progression extremely precisely and at high speeds using CT scans and MRIs, even when these aren’t perceptible to the human eye.
The benefits of AI to clinical decision support are, therefore, obvious.
One of the biggest benefits of AI is in the processing and analysis of massive volumes of data—and at a breathtaking speed to boot. For this reason, it is seen as a key technology in the healthcare industry and is used in a wide-range of applications—from monitoring chronic conditions and robot-assisted surgery to clinical decision support (CDS) in imaging. By independently analysing data, it can detect patterns of anomalies and disease progression extremely precisely and at high speeds using CT scans and MRIs, even when these aren’t perceptible to the human eye.
The benefits of AI to clinical decision support are, therefore, obvious.
Benefits of AI in hospitals:
Medical professionals’ workload is reduced.
With AI, hospitals can treat more patients.
Patient waiting times for appointments are shortened.
Diagnoses can be made earlier and more efficiently.
Choosing the most promising, customised and optimised therapies becomes easier.
Medical professionals’ workload is reduced.
With AI, hospitals can treat more patients.
Patient waiting times for appointments are shortened.
Diagnoses can be made earlier and more efficiently.
Choosing the most promising, customised and optimised therapies becomes easier.
Let the people decide.
The quality of AI-generated diagnoses depends greatly on the type and amount of data used to train the artificial intelligence. This should be high-quality, represent the general population and contain plenty of variety. If this is the case, AI can be used to help make more accurate diagnoses and support preventative patient care, but if the volume of data is too small, it either won’t be able to detect anomalies or deliver false positives. However, the final decision should be made by qualified professionals with all their expertise and experience with AI acting as a support.
Benefit from AI expertise.
The market is awash with various solutions for using AI in image processing. Trying to decide which manufacturer’s solution is best suited to your hospital’s needs can quickly become a headache. Our AI experts are on-hand to help you find the perfect solution and are by your side through the process—from consultation to seamless operations.
Questions?
Then get in touch!
How do you get to the perfect solution? How are sensitive data protected? And what are the benefits of AI in clinical decision-making? You’ll find all the answers in our whitepaper. Download it today!
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