Center for Artificial Intelligence in Medicine (CAIM)

At CAIM, we think AI from the perspective of healthcare providers and address real-world clinical needs for the benefit of patients. Our center was founded 2021 by the University of Bern and Bern University Hospital to shape the digital healthcare future by:

Researching AI systems that address clinical problems, including development, evaluation and dissemination.

Educating the next generation of AI researchers and digital native clinicians via leading academic and professional courses.

Connecting know-how and expertise to build a pipeline of innovative, clinical AI projects, technologies and products.

Translating AI technology innovation through industry collaborations, start-ups and early-stage investment.

News & Events

More News & Events

TV broadcast

KI in der Medizin: Gesünder dank Algorithmen?

The Swiss television program on health, SRF Puls, broadcast a program on the applications of AI in medicine as part of its "AI week". CAIM’s director Rapahel Sznitman and Claus Beisbart from the CAIM Ethics Lab discuss the current applications of AI within healthcare. In his interview, Claus Beisbart takes a critical look on the latest developments and discusses how the advances could transform our healthcare system in the future.

Research

CAIM scientists recognised among top 2% of their field

Two members of the CAIM Executive team, Mauricio Reyes and Inti Zlobec have been recognised among the top 2% of scientists. The list released by Stanford and Elsevier provides a standardised dataset of the top-cited scientist by field.

(Photo: CAIM, University of Bern)

November 28, 2024

09:00

Felix Frey Auditorium at sitem-insel, Freiburgstrasse 3, 3010 Bern

Symposium

Symposium on AI in medical imaging

To date, more than 800 AI-enabled medical devices have been FDA approved, the majority for application in Radiology and other medical imaging fields. These tools promise to both improve patient care and to streamline radiological practice. However, there is currently limited evidence for most specific applications. In this meeting, we hope to open a frank debate on the evidence-base for AI-enabled imaging: how we can generate solid evidence, how we can ensure that the performance achieved in trials is maintained in routine, and what to do when tools fail to perform as we would desire.

The event will be held both in person and online

Prix Lux

DAIM wins the prix Lux equal opportunities prize

We are pleased to announce that the University of Bern's 2024 Prix Lux equal opportunities prize goes to DAIM - Diversity for AI in Medicine.
The initiative is committed to promoting equal opportunities and combating prejudice in AI technology - a highly relevant topic for society. By addressing equality and diversity aspects in the programming of artificial intelligence, a bridge is being built between the humanities and AI technologies in particular.

(Photo: Universität Bern / Manu Friedrich)

Research

More about research

AI for Biosignals

Biosignals are reflecting functional processes in human organs as e.g. the human brain or heart and can be e.g. depicted by functional MRI (fMRI), electroencphalograhy (EEG), electrocardiogram (ECG) or electrocochleography (ECOG). Our current research initiatives are focusing on AI-based quantitative signal processing to generate outputs for diagnostics assessment by clinicians.

AI for Health Data

Pipelines of clinical data from electronic health records to lab and imaging data and multi-OMICS platforms deliver –after data preparation and processing -significant medical information. To harness meaning from this heterogeneous and highly complex datasets we have created applied deep learning methods that researchers can analyze, deconstruct and train to make them suited to personalized medicine approaches.

Intelligent Medical Robotics

Medical robots in rehabilitation, intervention and surgery are a clinical reality. World-leading research in automated robotics and intelligent navigation tools has been translated into the clinic and the market-place through new ventures and commercial partnerships.

AI for Medical Imaging

Medical images are rich sources of information, playing a central role in medicine today. Their mining through AI technologies holds a great potential. We research and develop transformative AI tools toassist clinicians delivering faster, more accurate and reliable care decisions.