Fetching the paper…
Reading the bibliography…
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical pharmacists.
Apache-ii score for assessment and monitoring of acute pancreatitis
Michael Larvin and MichaelJ Mcmahon · 1989
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
Earlier work this paper cites.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie · 2005
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
Earlier work this paper cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
Earlier work this paper cites.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2019
Earlier work this paper cites.
Abductive learning: towards bridging machine learning and logical reasoning
Zhi-Hua Zhou · 2019
Earlier work this paper cites.
Characterization of changes in medication complexity using a modified scoring tool
Andrea Sikora Newsome, Daniel Anderson, Morgan E Gwynn, and Jennifer L Waller · 2019
Earlier work this paper cites.
Development and validation of a medication regimen complexity scoring tool for critically ill patients
Morgan E Gwynn, Margaret O Poisson, Jennifer L Waller, and Andrea Sikora Newsome · 2019
Earlier work this paper cites.
Characterization of changes in medication complexity using a modified scoring tool
Andrea Sikora Newsome, Daniel Anderson, Morgan E Gwynn, and Jennifer L Waller · 2019
Earlier work this paper cites.
Development and validation of a medication regimen complexity scoring tool for critically ill patients
Morgan E Gwynn, Margaret O Poisson, Jennifer L Waller, and Andrea Sikora Newsome · 2019
Earlier work this paper cites.
Physician confidence in artificial intelligence: an online mobile survey
Songhee Oh, Jae Heon Kim, Sung-Woo Choi, Hee Jeong Lee, Jungrak Hong, and Soon Hyo Kwon · 2019
Earlier work this paper cites.
The sofa score—development, utility and challenges of accurate assessment in clinical trials
Simon Lambden, Pierre Francois Laterre, Mitchell M Levy, and Bruno Francois · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
Joint learning with pre-trained transformer on named entity recognition and relation extraction tasks for clinical analytics
Miao Chen, Ganhui Lan, Fang Du, and Victor Lobanov · 2020
Earlier work this paper cites.
Multicenter validation of a novel medication-regimen complexity scoring tool
Andrea Sikora Newsome, Susan E Smith, William J Olney, and Timothy W Jones · 2020
Earlier work this paper cites.
Medication regimen complexity is associated with pharmacist interventions and drug-drug interactions: A use of the novel mrc-icu scoring tool
Andrea Sikora Newsome, Susan E Smith, William J Olney, Timothy W Jones, Christy C Forehand, Ah Hyun Jun, and Lindsey Coppiano · 2020
Earlier work this paper cites.
Multicenter validation of a novel medication-regimen complexity scoring tool
Andrea Sikora Newsome, Susan E Smith, William J Olney, and Timothy W Jones · 2020
Earlier work this paper cites.
High hopes for “deep medicine”? ai, economics, and the future of care
Robert Sparrow and Joshua Hatherley · 2020
Earlier work this paper cites.
Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation
Dong Li, Xiaofeng Liao, Tao Xiang, Jiahui Wu, and Junqing Le · 2020
Earlier work this paper cites.
Domain-specific language model pretraining for biomedical natural language processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2021
Earlier work this paper cites.
Reduce the medical burden: An automatic medical triage system using text classification bert based on transformer structure
Xinyuan Wang, Make Tao, Runpu Wang, and Likui Zhang · 2021
Earlier work this paper cites.
Dementia detection using transformer-based deep learning and natural language processing models
Ploypaphat Saltz, Shih Yin Lin, Sunny Chieh Cheng, and Dong Si · 2021
Earlier work this paper cites.
Development of machine learning models to validate a medication regimen complexity scoring tool for critically ill patients
Mohammad A Al-Mamun, Todd Brothers, and Andrea Sikora Newsome · 2021
Earlier work this paper cites.
Development of machine learning models to validate a medication regimen complexity scoring tool for critically ill patients
Mohammad A Al-Mamun, Todd Brothers, and Andrea Sikora Newsome · 2021
Earlier work this paper cites.
Impact of pharmacists to improve patient care in the critically ill: a large multicenter analysis using meaningful metrics with the medication regimen complexity-icu (mrc-icu) score
Andrea Sikora, Deepak Ayyala, Megan A Rech, Sarah B Blackwell, Joshua Campbell, Meghan M Caylor, Melanie Smith Condeni, Ashley DePriest, Amy L Dzierba, Alexander H Flannery, et al · 2022
Earlier work this paper cites.
Agribert: knowledge-infused agricultural language models for matching food and nutrition
Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, and Sheng Li · 2022
Earlier work this paper cites.
Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition
Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, et al · 2022
Earlier work this paper cites.
Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training
Homgmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, and Xiang Li · 2022
Earlier work this paper cites.
Survey on natural language processing in medical image analysis
Zhengliang Liu, Mengshen He, Zuowei Jiang, Zihao Wu, Haixing Dai, Lian Zhang, Siyi Luo, Tianle Han, Xiang Li, Xi Jiang, et al · 2022
Earlier work this paper cites.
Crosslingual generalization through multitask finetuning
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng-Xin Yong, Hailey Schoelkopf, et al · 2022
Cited alongside, same era.
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou · 2022
Cited alongside, same era.
A bibliometric review of large language models research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma, Sanggyu Lee, Huizi Yu, and Libby Hemphill · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Closest in time.
Context matters: A strategy to pre-train language model for science education
Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, and Xiaoming Zhai · 2023
Closest in time.
Fine-grained artificial neurons in audio-transformers for disentangling neural auditory encoding
Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, et al · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Maieutic prompting: Logically consistent reasoning with recursive explanations
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, and Yejin Choi · 2022
Cited alongside, same era.
Language models are greedy reasoners: A systematic formal analysis of chain-of-thought
Abulhair Saparov and He He · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Cited alongside, same era.
A descriptive report of the rapid implementation of automated mrc-icu calculations in the emr of an academic medical center
Andrew J Webb, Sandra Rowe, and Andrea Sikora Newsome · 2022
Cited alongside, same era.
A descriptive report of the rapid implementation of automated MRC-ICU calculations in the EMR of an academic medical center
Andrew J Webb, Sandra Rowe, and Andrea Sikora Newsome · 2022
Cited alongside, same era.
Impact of pharmacists to improve patient care in the critically ill: A large multicenter analysis using meaningful metrics with the medication regimen Complexity-ICU (MRC-ICU) score
Andrea Sikora, Deepak Ayyala, Megan A Rech, Sarah B Blackwell, Joshua Campbell, Meghan M Caylor, Melanie Smith Condeni, Ashley DePriest, Amy L Dzierba, Alexander H Flannery, Leslie A Hamilton, Mojdeh S Heavner, Michelle Horng, Joseph Lam, Edith Liang, Jennifer Montero, David Murphy, Angela M Plewa-Rusiecki, Alicia J Sacco, Gretchen L Sacha, Poorvi Shah, Michael P Smith, Zachary Smith, John J Radosevich, Antonia L Vilella, and MRC-ICU Investigator Team · 2022
Cited alongside, same era.
Medication regimen complexity score as an indicator of fluid balance in critically ill patients
William J Olney, Aaron M Chase, Sarah A Hannah, Susan E Smith, and Andrea Sikora Newsome · 2022
Cited alongside, same era.
Medication regimen complexity vs patient acuity for predicting critical care pharmacist interventions
Susan E Smith, Rachel Shelley, and Andrea Sikora · 2022
Cited alongside, same era.
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, et al · 2023
Closest in time.
Mask-guided bert for few shot text classification
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, et al · 2023
Closest in time.
Chataug: Leveraging chatgpt for text data augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, et al · 2023
Closest in time.
Differentiate chatgpt-generated and human-written medical texts
Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, et al · 2023
Closest in time.
Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology
Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, et al · 2023
Closest in time.
Chatabl: Abductive learning via natural language interaction with chatgpt
Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, et al · 2023
Closest in time.
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, et al · 2023
Closest in time.
Deid-gpt: Zero-shot medical text de-identification by gpt-4
Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, et al · 2023
Closest in time.
Evaluation of medication regimen complexity as a predictor for mortality
Andrea Sikora, John W Devlin, Mengyun Yu, Tianyi Zhang, Xianyan Chen, Susan E Smith, Brian Murray, Mitchell S Buckley, Sandra Rowe, and David J Murphy · 2023
Closest in time.
Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model
Andrea Sikora, Alireza Rafiei, Milad Ghiasi Rad, Kelli Keats, Susan E Smith, John W Devlin, David J Murphy, Brian Murray, Rishikesan Kamaleswaran, and MRC-ICU Investigator Team · 2023
Closest in time.
https://openai.com/blog/new-and-improved-embedding-model
New and improved embedding model — openai.com · 2023
Closest in time.
Chatgpt: Is this version good for healthcare and research?
Raju Vaishya, Anoop Misra, and Abhishek Vaish · 2023
Closest in time.
Chatgpt utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns
Malik Sallam · 2023
Closest in time.
Are ai language models such as chatgpt ready to improve the care of individuals with epilepsy?
Christian M Boßelmann, Costin Leu, and Dennis Lal · 2023
Closest in time.
Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, and Jimin Huang · 2023
Closest in time.
Mathematical capabilities of chatgpt
Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, and Julius Berner · 2023
Closest in time.
Review of large vision models and visual prompt engineering
Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, et al · 2023
Closest in time.
Hierarchical semantic tree concept whitening for interpretable image classification
Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, et al · 2023
Closest in time.
Community graph convolution neural network for alzheimer’s disease classification and pathogenetic factors identification
Xia-An Bi, Ke Chen, Siyu Jiang, Sheng Luo, Wenyan Zhou, Zhaoxu Xing, Luyun Xu, Zhengliang Liu, and Tianming Liu · 2023
Closest in time.
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network
Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, and Shijie Zhao · 2023
Closest in time.
Lian Zhang, Jason M Holmes, Zhengliang Liu, Sujay A Vora, Terence T Sio, Carlos E Vargas, Nathan Y Yu, Sameer R Keole, Steven E Schild, Martin Bues, et al · 2023
Closest in time.
Deep-learning based fast and accurate 3d ct deformable image registration in lung cancer
Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W Wong, Nathan Y Yu, Terence T Sio, Steven E Schild, et al · 2023
Closest in time.
A generic framework for embedding human brain function with temporally correlated autoencoder
Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, and Tianming Liu · 2023
Closest in time.
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Closest in time.
Segment anything model (sam) for radiation oncology
Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, et al · 2023
Closest in time.
Samaug: Point prompt augmentation for segment anything model
Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, et al · 2023
Closest in time.