Blog: AI in Medicine

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May 29, 2026

Why Medicine Needs More Than Just AI

Electronic health records suffer from a lack of clarity. Why a full-text search offers no added value—and how generative AI truly helps doctors and patients.

May 29, 2026

AI in Healthcare: How Artificial Intelligence Is Redefining Interoperability

For years, FHIR has been seen as a beacon of hope for the interoperability of medical data, but in practice, the standard is still in its infancy. Artificial intelligence (AI) could take over the conversion between different data formats in the future, thereby replacing standards—at least to a certain extent.

May 29, 2026

ePA: Why a Full-Text Search Will Fail and AI Is the Better Solution

The electronic health record is extremely confusing. A full-text search, however, would not offer any added value. Only integrated AI would truly help doctors and patients.

May 18, 2026

Meierhofer AG & Averbis: how AI is changing clinical workflows

In an interview, Matthias Meierhofer, CEO of Meierhofer AG, discusses the potential of AI in clinical workflows and the partnership with Averbis.

May 18, 2026

Innovation in healthcare: how NLP and LLMs are shaping the future

Natural Language Processing (NLP) and Large Language Models (LLMs) are shaping healthcare · opportunities and challenges

May 18, 2026

Drivers of digitalization in healthcare

New drivers are accelerating digitalization in healthcare. Alongside regulatory initiatives such as the Hospital Future Act (KHZG), artificial intelligence is becoming an important factor.

May 18, 2026

Artificial intelligence as a driver of innovation in healthcare

AI solutions such as Health Discovery provide benefits for healthcare through structured health data

May 18, 2026

Optimized negation detection in medical texts

Negation detection in medical text mining, optimized through rule-based approaches combined with machine learning.

May 18, 2026

Big Data in medicine opportunities for clinical research

How AI solutions can support more efficient research through Big Data and make medical data usable.

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