EFORT

EFORT Educational Webinar

KEEPING UP-TO-DATE ON ARTIFICIAL INTELLIGENCE, LARGE-LANGUAGE MODELS AND EXOSKELETONS - DIGITAL ORTHOPAEDICS AND TRAUMATOLOGY SERIES

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Date and time

Monday
23
February
19:00 CET
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​​​​​​​EFORT Webinar
KEEPING UP-TO-DATE ON ARTIFICIAL INTELLIGENCE, LARGE-LANGUAGE MODELS AND EXOSKELETONS - DIGITAL ORTHOPAEDICS AND TRAUMATOLOGY SERIES

Webinar Chairs: 
Prof. Bernd GRIMM | Luxembourg 
Prof. Benedikt BRAUN | Germany
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​​​​​​​19:00-19:05 | Introduction
Bernd Grimm | Luxembourg Institute of Health, Dept. Precision Health, Luxembourg 

19:05-19:20 | AI Use Cases and Clinical Evidence Across Trauma Care and Orthopaedic Surgery
Georg Osterhoff | BG Klinikum Berlin, Dept Trauma Surgery and Orthopedics, Charité - Universitätsmedizin Berlin, Germany

19:20-19:35 | Large-Language-Models such as ChatGPT performing orthopaedic exams: Good enough to pass?
Pedro Diniz | Dept Orthopaedic Surgery, Hôpital Universitaire de Bruxelles, Belgium, and
Dept. Bioengineering and iBB, Instituto Superior Técnico, University of Lisbon, Portugal


19:35-19:45 | Exoskeletons or wearable robots: Overview and orthopaedic applications and possibilities
Rene Bremm | Luxembourg Institute of Health, Dept. Precision Health, Luxembourg

19:45-19:55 | Questions & Answers
All Speakers Faculty and Webinar Audience

19:55-20:00 | Closing Remarks 
Benedikt Braun | BG Klinik Tübingen, University of Tübingen, Germany
LEARNING OBJECTIVES

This EFORT Educational Webinar will focus on relevant updates in the domain of digitalisation in orthopaedics and traumatology, a fast-evolving field with continuous educational needs. 

The objectives of this Webinar are:
  • Know about various clinically relevant uses cases of artificial intelligence (AI) in trauma care and orthopaedic surgery and the increasing body of clinical evidence available. This may support implementation of these and related AI use cases in clinical practice and further translational research towards bringing the benefits of AI to our patients.

  • Understand the increasing capacity of large-language-models (LLM’s) and the different performance of current models in the context of solving orthopaedic exam questions. This knowledge may change perceptions about the quality, validity, applications and limits of LLM’s as a tool for information, education or research in a clinical context.

  • Recognize the fast-evolving technologies around exoskeletons or wearable robots and its increasing use cases and potential in healthcare applications, particularly in orthopaedics. These insights may lead to generate new use cases, clinical adaptation, translational research and steering technological developments towards needs in O&T. 

Estimated duration: 60 minutes
(note can be subjected to changes)


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This Webinar is organised by EFORT independent of any commercial educational support. ​​​​You can view it from your computer, tablet or mobile phone.

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MORE INFORMATION ABOUT EFORT WEBINARS:
https://www.efort.org/webinars​​​​​

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