3 citations · 7 across the 5 of their papers we have counts for
5 papers
How sensitive do we want AI to be? Socio-communicative competencies of large language models in healthcare
Dorothee Amelung, Andrew M. Bean, Sabine C. Herpertz +4
Background. Effective clinical practice relies heavily on the socio-communicative skills of medical professionals. Large language models (LLMs) have been proposed for tasks such as…
Clinical knowledge in LLMs does not translate to human interactions
Andrew M. Bean, Rebecca Payne, Guy Parsons +8
Global healthcare providers are exploring use of large language models (LLMs) to provide medical advice to the public. LLMs now achieve nearly perfect scores on medical licensing e…
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
Felix H. Krones, Ben Walker, Guy Parsons +2
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac…
Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?
Harry Mayne, Guy Parsons, Adam Mahdi
The use of unsupervised learning to identify patient subgroups has emerged as a potentially promising direction to improve the efficiency of Intensive Care Units (ICUs). By identif…
Review of multimodal machine learning approaches in healthcare
Felix Krones, Umar Marikkar, Guy Parsons +2
Machine learning methods in healthcare have traditionally focused on using data from a single modality, limiting their ability to effectively replicate the clinical practice of int…