Titleimage: 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

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People

"Our field is very open to AI."

Ekin Ermis is a Senior physician at the Department of Radiation Oncology of the Inselspital, Bern University Hospital, where she validates AI-based automation for the radiotherapy pipeline developed by the University of Bern. Over the last seven years, she has dedicated research and interdisciplinary dialogue to improving workflows and assuring sooner and high-quality treatment for patients with brain tumors.

June 2024

Media

How Bernese AI is transforming medicine

Hundreds of researchers are working on Al for medicine in Bern's laboratories. "Our centre aims to bring cutting-edge medical research into practice as quickly as possible," says Raphael Sznitman in an interview with der Bund about
CAIM. The article not only mentions the Master's program Al in Medicine, but also two Al spin-offs from the University of Bern for ophthalmology.

Mai 2024

Research

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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.