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Artificial intelligence in healthcare

Artificial intelligence in healthcare

Künstliche Intelligenz hilft Radiologen, fundiertere klinische Entscheidungen zu treffen.

Artificial intelligence (AI) and machine learning will transform medicine across all disciplines. Today, AI already supports remote monitoring, simplifies imaging, helps radiologists in making more informed clinical decisions, and facilitates therapeutic decisions. AI could become an indispensable tool in all fields of healthcare.

Supporting the scan

Often, technology isn’t used to its full potential. Digitalization helps users efficiently achieve reproducible results by unlocking the full potential of their medical imaging devices. It guides operators through imaging procedures so that they can interact easily and naturally with both the patient and the technology.

Mit Elan und Spitzentechnologie durchs Krisenjahr

Navigating the crisis year with élan and high-end technology

Many imaging exams were postponed in recent months. Read how one private practice in Austria prepared for the restart – with the help of the latest technology and AI.

How can intelligent and personalized CT scanning ease radiology workflow?

With new, intelligent support, the CT scanning process at University Hospital Erlangen in Germany is not only personalized for each patient but is even tailored to their specific requirements.

AI in diagnosis

One of the most pressing concerns in radiology today is the exponential growth of data and the shortage of medical staff to handle the complex and ever-increasing amounts of information. Intelligent solutions support radiologists in making more informed clinical decisions and adding value along the patient journey.

Breast cancer: Artificial intelligence enhances screening and eases workload

In breast cancer screening programs, a high volume of imaging data is acquired. AI offers radiologists smart support in evaluating it.

"AI has to inspire trust"

AI is the key technology of the future, but does this also apply for healthcare? Learn more from an expert on the technology’s inherent challenges.

Supporting treatment with AI

Clinicians today face a growing number of challenges when it comes to enabling and sustaining outcomes-based healthcare. AI tools help them to improve care pathways with an intelligent decision support system aimed at facilitating diagnosis and therapeutic decisions along disease-specific pathways.

Clinical decision support for prostate cancer care

AI and smart data integration address complexity and data overload. Read how AI enables urologists to provide evidence-based prostate cancer treatment.

Algorithms for automated standard contouring

Automated contouring helps protect organs at risk in radiation therapy planning.

Remote disease monitoring

Chronic diseases place a large economic burden on societies. Healthcare providers and payers must find ways of better managing these diseases. AI solutions can effectively connect care teams and patients, support information sharing, and promote constant patient engagement.

Mannheim University Hospital uses telemedicine solution for its own healthcare professionals

To protect its own staff from infection during the COVID-19 pandemic, Mannheim University Hospital is using an AI-powered digital health diary.