Journal of the American Medical Informatics Association : JAMIA

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Publications

volume 31, number 9, 2024

Dimitris Spathis, Fahim Kawsar
The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang
Large language models leverage external knowledge to extend clinical insight beyond language boundaries. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Mingchen Li, Huixue Zhou, Han Yang, Rui Zhang
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Anjun Chen, Drake O Chen, Lu Tian
Benchmarking the symptom-checking capabilities of ChatGPT for a broad range of diseases. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Guillem García Subies, Álvaro Barbero Jiménez, Paloma Martínez Fernández
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Mary M Lucas, Justin Yang, Jon K Pomeroy, Christopher C Yang
Reasoning with large language models for medical question answering. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, Demet Yuksel
Impact of high-quality, mixed-domain data on the performance of medical language models. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Kar-Mun C Woo, Gregory W Simon, Olumide Akindutire, Yindalon Aphinyanaphongs, Jonathan S Austrian, Jung G Kim, Nicholas Genes, Jacob A Goldenring, Vincent J Major, Chloé S Pariente, Edwin G Pineda, Stella K Kang
Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Michelle Bak, Jessie Chin
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, Wenjin Jim Zheng, Hua Xu
Ensemble pretrained language models to extract biomedical knowledge from literature. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Angeela Acharya, Sulabh Shrestha, Anyi Chen, Joseph Conte, Sanja Avramovic, Siddhartha Sikdar, Antonios Anastasopoulos, Sanmay Das
Clinical risk prediction using language models: benefits and considerations. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
François Remy, Kris Demuynck, Thomas Demeester
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
William R Hersh
Search still matters: information retrieval in the era of generative AI. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Jingqing Zhang, Kai Sun, Akshay Jagadeesh, Parastoo Falakaflaki, Elena Kayayan, Guanyu Tao, Mahta Haghighat Ghahfarokhi, Deepa Gupta, Ashok Gupta, Vibhor Gupta, Yike Guo
The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Zhiyong Lu, Yifan Peng, Trevor Cohen, Marzyeh Ghassemi, Chunhua Weng, Shubo Tian
Large language models in biomedicine and health: current research landscape and future directions. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Hieu Tran, Zhichao Yang, Zonghai Yao, Hong Yu
BioInstruct: instruction tuning of large language models for biomedical natural language processing. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Andy Wang, Cong Liu, Jingye Yang, Chunhua Weng
Fine-tuning large language models for rare disease concept normalization. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Fabiana Cristina Dos Santos, Lisa G Johnson, Olatunde O Madandola, Karen J B Priola, Yingwei Yao, Tamara Gonçalves Rezende Macieira, Gail M Keenan
An example of leveraging AI for documentation: ChatGPT-generated nursing care plan for an older adult with lung cancer. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Amila Kugic, Stefan Schulz, Markus Kreuzthaler
Disambiguation of acronyms in clinical narratives with large language models. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Chao Yan, Henry H Ong, Monika E Grabowska, Matthew S Krantz, Wu-Chen Su, Alyson L Dickson, Josh F Peterson, QiPing Feng, Dan M Roden, C Michael Stein, Vern Eric Kerchberger, Bradley A Malin, Wei-Qi Wei
Large language models facilitate the generation of electronic health record phenotyping algorithms. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
Distilling large language models for matching patients to clinical trials. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Jorge Alberto Rodriguez, Emily Alsentzer, David Westfall Bates
Leveraging large language models to foster equity in healthcare. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Satya S Sahoo, Joseph M Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stephane M Meystre, Yanshan Wang
Large language models for biomedicine: foundations, opportunities, challenges, and best practices. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Angeela Acharya, Sulabh Shrestha, Anyi Chen, Joseph Conte, Sanja Avramovic, Siddhartha Sikdar, Antonios Anastasopoulos, Sanmay Das
Clinical risk prediction using language models: benefits and considerations. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
François Remy, Kris Demuynck, Thomas Demeester
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving large language models for clinical named entity recognition via prompt engineering. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Ling Luo, Jinzhong Ning, Yingwen Zhao, Zhijun Wang, Zeyuan Ding, Peng Chen, Weiru Fu, Qinyu Han, Guangtao Xu, Yunzhi Qiu, Dinghao Pan, Jiru Li, Hao Li, Wenduo Feng, Senbo Tu, Yuqi Liu, Zhihao Yang, Jian Wang, Yuanyuan Sun, Hongfei Lin
Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving large language models for clinical named entity recognition via prompt engineering. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Javad Pool, Marta Indulska, Shazia Sadiq
Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Rui Hua, Xin Dong, Yu Wei, Zixin Shu, Pengcheng Yang, Yunhui Hu, Shuiping Zhou, He Sun, Kaijing Yan, Xijun Yan, Kai Chang, Xiaodong Li, Yuning Bai, Runshun Zhang, Wenjia Wang, Xuezhong Zhou
Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Opeoluwa Akinseloyin, Xiaorui Jiang, Vasile Palade
A question-answering framework for automated abstract screening using large language models. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Jodyn E Platt, Paige Nong, Renée Smiddy, Reema Hamasha, Gloria Carmona Clavijo, Joshua E Richardson, Sharon L R Kardia
Public comfort with the use of ChatGPT and expectations for healthcare. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Guillem García Subies, Álvaro Barbero Jiménez, Paloma Martínez Fernández
A comparative analysis of Spanish Clinical encoder-based models on NER and classification tasks. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Yiming Li, Jeff Zhao, Manqi Li, Yifang Dang, Evan Yu, Jianfu Li, Zenan Sun, Usama Hussein, Jianguo Wen, Ahmed M Abdelhameed, Junhua Mai, Shenduo Li, Yue Yu, Xinyue Hu, Daowei Yang, Jingna Feng, Zehan Li, Jianping He, Wei Tao, Tiehang Duan, Yanyan Lou, Fang Li, Cui Tao
RefAI: a GPT-powered retrieval-augmented generative tool for biomedical literature recommendation and summarization. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Milton Pividori, Casey S Greene
A publishing infrastructure for Artificial Intelligence (AI)-assisted academic authoring. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Yilu Fang, Patrick Ryan, Chunhua Weng
Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Huixue Zhou, Mingchen Li, Yongkang Xiao, Han Yang, Rui Zhang
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu
CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Jorge Alberto Rodriguez, Emily Alsentzer, David Westfall Bates
Leveraging large language models to foster equity in healthcare. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, Ya Zhang, Weidi Xie, Yanfeng Wang
PMC-LLaMA: toward building open-source language models for medicine. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony B Costa, Mona G Flores, Jiang Bian, Yonghui Wu
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Michelle Bak, Jessie Chin
The potential and limitations of large language models in identification of the states of motivations for facilitating health behavior change. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, Wenjin Jim Zheng, Hua Xu
Ensemble pretrained language models to extract biomedical knowledge from literature. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Katerina Andreadis, Devon R Newman, Chelsea Twan, Amelia Shunk, Devin M Mann, Elizabeth R Stevens
Mixed methods assessment of the influence of demographics on medical advice of ChatGPT. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Javad Pool, Marta Indulska, Shazia Sadiq
Large language models and generative AI in telehealth: a responsible use lens. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
William R Hersh
Search still matters: information retrieval in the era of generative AI. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Anjun Chen, Drake O Chen, Lu Tian
Benchmarking the symptom-checking capabilities of ChatGPT for a broad range of diseases. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)