Results 1 to 10 of about 26,588 (249)

Temporal evolution of large language models (LLMs) in oncology [PDF]

Journal of Translational Medicine
Background Large language models (LLMs) are increasingly being applied in healthcare; however, their performance in specialized fields, such as oncology, is subject to temporal factors, including knowledge decay and concept drift.
Zilin Qiu, Aimin Jiang, Chang Qi, Wenyi Gan, Lingxuan Zhu, Weiming Mou, Dongqiang Zeng, Mingjia Xiao, Guangdi Chu, Shengkun Peng, Hank Z. H. Wong, Lin Zhang, Hengguo Zhang, Xinpei Deng, Quan Cheng, Bufu Tang, Yaxuan Wang, Jian Zhang, Anqi Lin, Peng Luo   +19 more
doaj   +4 more sources

AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development [PDF]

Journal of Advanced Research
Background: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine.
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, Arpita Das, Sang-Soo Lee   +5 more
doaj   +4 more sources

Causality Extraction from Medical Text Using Large Language Models (LLMs)

Information
This study explores the potential of natural language models, including large language models, to extract causal relations from medical texts, specifically from clinical practice guidelines (CPGs).
Seethalakshmi Gopalakrishnan, Luciana Garbayo, Wlodek Zadrozny   +2 more
doaj   +3 more sources

Harnessing large language models (LLMs) for candidate gene prioritization and selection [PDF]

Journal of Translational Medicine, 2023
Background Feature selection is a critical step for translating advances afforded by systems-scale molecular profiling into actionable clinical insights.
Mohammed Toufiq, Darawan Rinchai, Eleonore Bettacchioli, Basirudeen Syed Ahamed Kabeer, Taushif Khan, Bishesh Subba, Olivia White, Marina Yurieva, Joshy George, Noemie Jourde-Chiche, Laurent Chiche, Karolina Palucka, Damien Chaussabel   +12 more
doaj   +2 more sources

A Review of Current Trends, Techniques, and Challenges in Large Language Models (LLMs)

Applied Sciences
Natural language processing (NLP) has significantly transformed in the last decade, especially in the field of language modeling. Large language models (LLMs) have achieved SOTA performances on natural language understanding (NLU) and natural language ...
Rajvardhan Patil, Venkat Gudivada
doaj   +3 more sources

Enhancing Arabic aspect category detection using large language models (LLMs)

Results in Engineering
Large language models (LLMs) have revolutionized the world of natural language processing (NLP) by breaking through a variety of tasks, such as text generation, translation, and text summarization. In this study, we tackle aspect-based sentiment analysis
Lachhab Youssef, Ziyati Elhoussaine, Naim Soufiane, Moumkine Noureddine   +3 more
doaj   +3 more sources

Introduction to Large Language Models (LLMs) for dementia care and research [PDF]

Frontiers in Dementia
IntroductionDementia is a progressive neurodegenerative disorder that affects cognitive abilities including memory, reasoning, and communication skills, leading to gradual decline in daily activities and social engagement.
Matthias S. Treder, Sojin Lee, Kamen A. Tsvetanov, Kamen A. Tsvetanov   +3 more
doaj   +2 more sources

Performance of large language models (LLMs) in providing prostate cancer information [PDF]

BMC Urology
Purpose The diagnosis and management of prostate cancer (PCa), the second most common cancer in men worldwide, are highly complex. Hence, patients often seek knowledge through additional resources, including AI chatbots such as ChatGPT and Google Bard ...
Ahmed Alasker, Seham Alsalamah, Nada Alshathri, Nura Almansour, Faris Alsalamah, Mohammad Alghafees, Mohammad AlKhamees, Bader Alsaikhan   +7 more
doaj   +2 more sources

Large language models propagate race-based medicine

npj Digital Medicine, 2023
Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou   +4 more
doaj   +1 more source

The potential of Large Language Models in language education

Освітній вимір, 2021
This editorial explores the potential of Large Language Models (LLMs) in language education. It discusses the role of LLMs in machine translation, the concept of ‘prompt programming’, and the inductive bias of LLMs for abstract textual reasoning.
Vita A. Hamaniuk
doaj   +1 more source