With this knowledge, participants can rid themselves of the misconception of AI as a 'black box'Pascale Anderle
From 8.30 to 17.00, participants in sitem-insel, Freiburgstraße, Bern will learn about the principles of AI as well as innovative applications in the clinical context. Furthermore, the workshop and networking event is an opportunity to get in touch with AI and medical experts.
“We want to convey the prerequisites for implementing AI in diagnostic imaging”, says Dr. Pascale Anderle, Deputy Head and Program Coordinator at the School for Translational Medicine and Biomedical Entrepreneurship of University of Bern and sitem-insel AG. The symposium is the kick off of a new study program offered by University of Bern. Rather than just giving an overview of the topic, the symposium and study program aim at providing ‘hands-on’ experience. “With this knowledge, participants can rid themselves of the misconception of AI as a ‘black box’. Understanding the operating principles and limitation of the technology is crucial for effectively communicating with software providers and other IT experts,” says Anderle.
To reflect the extensive potential of AI in medical imaging, the symposium features experts – from renowned university hospitals to promising startups – who will present some of the latest developments in a broad range of topics:
- 08.30 – 08.45 Welcome
- Juergen Burger, Pascale Anderle, sitem Center, University of Bern
- Roland Wiest, Clinical Neuroscience, University of Bern
- 08.45 – 09.30 Keynote Lecture: Translational AI from bits to bedside
- Felix Nensa, University Hospital Essen, Essen
- 09.30 – 10.00 Transforming patient care through imaging AI
- Nuno Barros, Icometrix, Leuven
- 10.00 – 10.30 Break
- 10.30 – 11.00 Bringing ML to the Clinics
- Tobias Kober, Siemens Healthineers, Lausanne
- 11.00 – 11.30 ScanDiags ‐ Clinically validated AI for the augmented diagnosis of musculoskeletal MRI
- Elisa Wan, Balzano, Zurich
- 11.30 – 12.00 INTACT: An AI‐based Computer‐Aided Diagnosis System for the Diagnosis of Interstitial Lung Diseases from CT Images
- Stavroula Mougiakakou, University of Bern, Bern
- 12.00 – 13.30 Lunch
- 13.30 – 14.15 Keynote Lecture: AI in a clinical context, get ready to make your hands dirty!
- Bram Stieltjes, University of Basel, Basel
- 14.15 – 14.45 Microfluidics, microscale assays and image analytics for data‐rich pathology
- Govind V. Kaigala, IBM Research Laboratory, Zurich
- 14.45 – 15.15 From acquisition to prognosis, the expanding role of machine learning in radiology
- Jonas Richiardi, Lausanne University Hospital, with a joint affiliation to Siemens Healthcare Switzerland, Lausanne
- 15.15 – 15.45 Break
- 15.45 – 16.15 Reducing the annotation burden for image‐based machine learning
- Raphael Sznitman, University of Bern, Bern
- 16.15 – 16.45 Is there a future for artificial intelligence and deep learning in molecular imaging research?
- Habib Zaidi, University of Geneva, Geneva
- 16.45 – 17.00 Closing remarks
“The program aims to highlight the possibilities AI opens up in medical imaging and show the places this technology might take us,” Anderle says. This includes innovative approaches to implement AI as well as the user perspective.
Registration is open until August 20, 2019 at https://forms.gle/ahX56GGW6dFaVpPK6