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SUMMARY:“From text to therapy: large language models in clinical medicin
 e” - Rose Bruffaerts\, University of Antwerp
DTSTART:20251127T120000Z
DTEND:20251127T130000Z
UID:TALK239161@talks.cam.ac.uk
CONTACT:Lucy Theobald
DESCRIPTION:Abstract: Over the past several years\, large language models 
 (LLMs) such as ChatGPT have emerged as influential tools in various aspect
 s of daily life. Analogous to advances in computer vision models\, LLMs ho
 ld the potential to fundamentally transform clinical practice. In this tal
 k\, I will provide an overview of the underlying principles of LLMs\, high
 lighting their capabilities and inherent limitations. I will then examine 
 the current applications of LLMs in clinical settings\, with a particular 
 focus on examples from neurology\, and discuss the parallels between integ
 ration of LLMs and the challenges previously encountered with the adoption
  of computer vision–based AI systems in healthcare.\n\nBio: Rose Bruffae
 rts is an assistant professor at the University of Antwerp\, Belgium\, and
  a neurology consultant at the Antwerp University Hospital Memory Clinic. 
 She specialized in neurology at University of Leuven\, Belgium and combine
 d this with a PhD on advanced analysis of brain imaging of cognitive proce
 sses. She then worked as an postdoctoral researcher at the Centre for Spee
 ch\, Language and the Brain at the University of Cambridge (UK) and also a
 t the Massachusetts Institute of Technology (USA). Since 2021\, she leads 
 the “Computational Neurology”  research group where new diagnostic too
 ls for early diagnosis of neurodegenerative diseases such as Frontotempora
 l Degeneration are being developed. One of her main research lines focuses
  on the clinical implementation of AI tools in neurology.
LOCATION:Clifford Allbutt Building Lecture Theatre\, Cambridge Biomedical 
 Campus
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