Artificial Intelligence

Artificial intelligence in healthcare

1 min
Published on 17. November 2020

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.

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.

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.

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.

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.