Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Rohanian A"'
Autor:
Rohanian, Omid, Nouriborji, Mohammadmahdi, Seminog, Olena, Furst, Rodrigo, Mendy, Thomas, Levanita, Shanthi, Kadri-Alabi, Zaharat, Jabin, Nusrat, Toale, Daniela, Humphreys, Georgina, Antonio, Emilia, Bucher, Adrian, Norton, Alice, Clifton, David A.
This paper introduces the Pandemic PACT Advanced Categorisation Engine (PPACE) along with its associated dataset. PPACE is a fine-tuned model developed to automatically classify research abstracts from funded biomedical projects according to WHO-alig
Externí odkaz:
http://arxiv.org/abs/2407.10086
Autor:
Liu, Fenglin, Li, Zheng, Zhou, Hongjian, Yin, Qingyu, Yang, Jingfeng, Tang, Xianfeng, Luo, Chen, Zeng, Ming, Jiang, Haoming, Gao, Yifan, Nigam, Priyanka, Nag, Sreyashi, Yin, Bing, Hua, Yining, Zhou, Xuan, Rohanian, Omid, Thakur, Anshul, Clifton, Lei, Clifton, David A.
The adoption of large language models (LLMs) to assist clinicians has attracted remarkable attention. Existing works mainly adopt the close-ended question-answering (QA) task with answer options for evaluation. However, many clinical decisions involv
Externí odkaz:
http://arxiv.org/abs/2405.00716
Autor:
Taylor, Niall, Ghose, Upamanyu, Rohanian, Omid, Nouriborji, Mohammadmahdi, Kormilitzin, Andrey, Clifton, David, Nevado-Holgado, Alejo
The entry of large language models (LLMs) into research and commercial spaces has led to a trend of ever-larger models, with initial promises of generalisability, followed by a widespread desire to downsize and create specialised models without the n
Externí odkaz:
http://arxiv.org/abs/2402.10597
Large Language Models (LLMs), particularly those similar to ChatGPT, have significantly influenced the field of Natural Language Processing (NLP). While these models excel in general language tasks, their performance in domain-specific downstream tas
Externí odkaz:
http://arxiv.org/abs/2401.00579
Autor:
Kim, Sanghwan, Nooralahzadeh, Farhad, Rohanian, Morteza, Fujimoto, Koji, Nishio, Mizuho, Sakamoto, Ryo, Rinaldi, Fabio, Krauthammer, Michael
Recent transformer-based models have made significant strides in generating radiology reports from chest X-ray images. However, a prominent challenge remains: these models often lack prior knowledge, resulting in the generation of synthetic reports t
Externí odkaz:
http://arxiv.org/abs/2305.04561
Autor:
Rohanian, Omid, Nouriborji, Mohammadmahdi, Jauncey, Hannah, Kouchaki, Samaneh, Group, ISARIC Clinical Characterisation, Clifton, Lei, Merson, Laura, Clifton, David A.
Publikováno v:
Nat. Lang. Eng. 30 (2024) 887-914
Specialised pre-trained language models are becoming more frequent in NLP since they can potentially outperform models trained on generic texts. BioBERT and BioClinicalBERT are two examples of such models that have shown promise in medical NLP tasks.
Externí odkaz:
http://arxiv.org/abs/2302.04725
Autor:
Rohanian A, Ommati Shabestari Gh
Publikováno v:
Journal of Dental Medicine, Vol 23, Iss 1, Pp 66-69 (2010)
"nMicrostomia is defined as an abnormally small oral orifice. Microstomia can occur as a result of trauma from electrical and thermal lesions, chemical burns and trauma from surgeries. Prosthetic rehabilitation of microstomia patients presents diffic
Externí odkaz:
https://doaj.org/article/917c4000e78f4affa41b42e26c157dcb
Autor:
Vinod Kumar Chauhan, Anshul Thakur, Odhran O’Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Irregular time series (ITS) are common in healthcare as patient data is recorded in an electronic health record (EHR) system as per clinical guidelines/requirements but not for research and depends on a patient’s health status.
Externí odkaz:
https://doaj.org/article/266459d530234b22972e9cc0f8aeb32b
Autor:
Rohanian, Omid, Jauncey, Hannah, Nouriborji, Mohammadmahdi, Chauhan, Vinod Kumar, Gonçalves, Bronner P., Kartsonaki, Christiana, Group, ISARIC Clinical Characterisation, Merson, Laura, Clifton, David
Processing information locked within clinical health records is a challenging task that remains an active area of research in biomedical NLP. In this work, we evaluate a broad set of machine learning techniques ranging from simple RNNs to specialised
Externí odkaz:
http://arxiv.org/abs/2210.09440
Pre-trained Language Models (LMs) have become an integral part of Natural Language Processing (NLP) in recent years, due to their superior performance in downstream applications. In spite of this resounding success, the usability of LMs is constraine
Externí odkaz:
http://arxiv.org/abs/2210.06425