Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Marshall, Iain J."'
Autor:
Kell, Gregory, Roberts, Angus, Umansky, Serge, Khare, Yuti, Ahmed, Najma, Patel, Nikhil, Simela, Chloe, Coumbe, Jack, Rozario, Julian, Griffiths, Ryan-Rhys, Marshall, Iain J.
Clinical question answering systems have the potential to provide clinicians with relevant and timely answers to their questions. Nonetheless, despite the advances that have been made, adoption of these systems in clinical settings has been slow. One
Externí odkaz:
http://arxiv.org/abs/2408.08624
Meta-analyses statistically aggregate the findings of different randomized controlled trials (RCTs) to assess treatment effectiveness. Because this yields robust estimates of treatment effectiveness, results from meta-analyses are considered the stro
Externí odkaz:
http://arxiv.org/abs/2405.01686
Autor:
Kell, Gregory, Roberts, Angus, Umansky, Serge, Qian, Linglong, Ferrari, Davide, Soboczenski, Frank, Wallace, Byron, Patel, Nikhil, Marshall, Iain J
Objective: Question answering (QA) systems have the potential to improve the quality of clinical care by providing health professionals with the latest and most relevant evidence. However, QA systems have not been widely adopted. This systematic revi
Externí odkaz:
http://arxiv.org/abs/2402.01700
Medical systematic reviews play a vital role in healthcare decision making and policy. However, their production is time-consuming, limiting the availability of high-quality and up-to-date evidence summaries. Recent advancements in large language mod
Externí odkaz:
http://arxiv.org/abs/2305.11828
Autor:
Shaib, Chantal, Li, Millicent L., Joseph, Sebastian, Marshall, Iain J., Li, Junyi Jessy, Wallace, Byron C.
Large language models, particularly GPT-3, are able to produce high quality summaries of general domain news articles in few- and zero-shot settings. However, it is unclear if such models are similarly capable in more specialized, high-stakes domains
Externí odkaz:
http://arxiv.org/abs/2305.06299
Multi-document summarization entails producing concise synopses of collections of inputs. For some applications, the synopsis should accurately synthesize inputs with respect to a key aspect, e.g., a synopsis of film reviews written about a particula
Externí odkaz:
http://arxiv.org/abs/2301.13844
Medical question answering (QA) systems have the potential to answer clinicians uncertainties about treatment and diagnosis on demand, informed by the latest evidence. However, despite the significant progress in general QA made by the NLP community,
Externí odkaz:
http://arxiv.org/abs/2109.10415
Autor:
Groff, Holli, Yousfani, Sariha, Pantoja-Ruiz, Camila, Douiri, Abdel, Bhalla, Ajay, Wolfe, Charles, Marshall, Iain J
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases August 2024 33(8)
Autor:
Liu, Lu, Marshall, Iain J., Pei, Ruonan, Bhalla, Ajay, Wolfe, Charles DA., O’Connell, Matthew DL., Wang, Yanzhong
Publikováno v:
In The Lancet Regional Health - Europe May 2024 40
We consider the problem of learning to simplify medical texts. This is important because most reliable, up-to-date information in biomedicine is dense with jargon and thus practically inaccessible to the lay audience. Furthermore, manual simplificati
Externí odkaz:
http://arxiv.org/abs/2104.05767