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Generalist Large Language Models (LLMs), such as GPT-4, have shown considerable promise in various domains, including medical diagnosis.
Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, Laura Gutierrez, Ting Fang Tan, and Daniel Shu Wei Ting. 2023 · 1940
Earlier work this paper cites.
Elements of information theory
Thomas M Cover. 1999 · 1999
Earlier work this paper cites.
Orphanet, an information site on rare diseases
Ségolène Aymé. 2003 · 2003
Earlier work this paper cites.
Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders
Ada Hamosh, Alan F Scott, Joanna S Amberger, Carol A Bocchini, and Victor A McKusick. 2005 · 2005
Earlier work this paper cites.
Clinical diagnostics in human genetics with semantic similarity searches in ontologies
Sebastian Köhler, Marcel H Schulz, Peter Krawitz, Sebastian Bauer, Sandra Dölken, Claus E Ott, Christine Mundlos, Denise Horn, Stefan Mundlos, and Peter N Robinson. 2009 · 2009
Earlier work this paper cites.
RAMEDIS: a comprehensive information system for variations and corresponding phenotypes of rare metabolic diseases
Thoralf Töpel, Dagmar Scheible, Friedrich Trefz, and Ralf Hofestädt. 2010 · 2010
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Earlier work this paper cites.
Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining . 701–710
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014 · 2014
Earlier work this paper cites.
The Matchmaker Exchange: a platform for rare disease gene discovery
Anthony A Philippakis, Danielle R Azzariti, Sergi Beltran, Anthony J Brookes, Catherine A Brownstein, Michael Brudno, Han G Brunner, Orion J Buske, Knox Carey, Cassie Doll, et al · 2015
Earlier work this paper cites.
node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining . 855–864
Aditya Grover and Jure Leskovec. 2016 · 2016
Earlier work this paper cites.
Measuring phenotype semantic similarity using human phenotype ontology. In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) . IEEE, 763–766
Jiajie Peng, Hansheng Xue, Yukai Shao, Xuequn Shang, Yadong Wang, and Jin Chen. 2016 · 2016
Earlier work this paper cites.
The human phenotype ontology in 2017
Sebastian Köhler, Nicole A Vasilevsky, Mark Engelstad, Erin Foster, Julie McMurry, Ségolène Aymé, Gareth Baynam, Susan M Bello, Cornelius F Boerkoel, Kym M Boycott, et al · 2017
Earlier work this paper cites.
Rare disease discovery: An optimized disease ranking system
Marc Pinol, Rui Alves, Ivan Teixido, Jordi Mateo, Francesc Solsona, and Ester Vilaprinyó. 2017 · 2017
Earlier work this paper cites.
RDAD: a machine learning system to support phenotype-based rare disease diagnosis
Jinmeng Jia, Ruiyuan Wang, Zhongxin An, Yongli Guo, Xi Ni, and Tieliu Shi. 2018 · 2018
Earlier work this paper cites.
Deep phenotyping on electronic health records facilitates genetic diagnosis by clinical exomes
Jung Hoon Son, Gangcai Xie, Chi Yuan, Lyudmila Ena, Ziran Li, Andrew Goldstein, Lulin Huang, Liwei Wang, Feichen Shen, Hongfang Liu, et al · 2018
Earlier work this paper cites.
ClinPhen extracts and prioritizes patient phenotypes directly from medical records to expedite genetic disease diagnosis
Cole A Deisseroth, Johannes Birgmeier, Ethan E Bodle, Jennefer N Kohler, Dena R Matalon, Yelena Nazarenko, Casie A Genetti, Catherine A Brownstein, Klaus Schmitz-Abe, Kelly Schoch, et al · 2019
Earlier work this paper cites.
Incidence and prevalence of 121 rare diseases in China: Current status and challenges
Jiangjiang He, Mi Tang, Xueyan Zhang, Duo Chen, Qi Kang, Yan Yang, Jiahao Hu, Chunlin Jin, and Peipei Song. 2019 · 2019
Earlier work this paper cites.
PubMedQA: A Dataset for Biomedical Research Question Answering. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 2567–2577
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019
Earlier work this paper cites.
Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis
Qigang Li, Keyan Zhao, Carlos D Bustamante, Xin Ma, and Wing H Wong. 2019 · 2019
Earlier work this paper cites.
Doc2Hpo: a web application for efficient and accurate HPO concept curation
Cong Liu, Fabricio Sampaio Peres Kury, Ziran Li, Casey Ta, Kai Wang, and Chunhua Weng. 2019 · 2019
Earlier work this paper cites.
Can a decision support system accelerate rare disease diagnosis? Evaluating the potential impact of Ada DX in a retrospective study
Simon Ronicke, Martin C Hirsch, Ewelina Türk, Katharina Larionov, Daphne Tientcheu, and Annette D Wagner. 2019 · 2019
Earlier work this paper cites.
How many rare diseases are there?
Melissa Haendel, Nicole Vasilevsky, Deepak Unni, Cristian Bologa, Nomi Harris, Heidi Rehm, Ada Hamosh, Gareth Baynam, Tudor Groza, Julie McMurry, et al · 2020
Cited alongside, same era.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Cited alongside, same era.
Interpretable clinical genomics with a likelihood ratio paradigm
Peter N Robinson, Vida Ravanmehr, Julius OB Jacobsen, Daniel Danis, Xingmin Aaron Zhang, Leigh C Carmody, Michael A Gargano, Courtney L Thaxton, Guy Karlebach, Justin Reese, et al · 2020
Cited alongside, same era.
Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases
Mengge Zhao, James M Havrilla, Li Fang, Ying Chen, Jacqueline Peng, Cong Liu, Chao Wu, Mahdi Sarmady, Pablo Botas, Julián Isla, et al · 2020
Cited alongside, same era.
What disease does this patient have? a large-scale open domain question answering dataset from medical exams
Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, and Peter Szolovits. 2021 · 2021
MedAlpaca–An Open-Source Collection of Medical Conversational AI Models and Training Data
Tianyu Han, Lisa C Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexander Löser, Daniel Truhn, and Keno K Bressem. 2023 · 2023
Later among the works it cites.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
Later among the works it cites.
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
Later among the works it cites.
Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Yongsik Sim, Beomseok Sohn, Dongha Lee, and Jinyoung Yeo. 2023 · 2023
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Cited alongside, same era.
The human phenotype ontology in 2021
Sebastian Köhler, Michael Gargano, Nicolas Matentzoglu, Leigh C Carmody, David Lewis-Smith, Nicole A Vasilevsky, Daniel Danis, Ganna Balagura, Gareth Baynam, Amy M Brower, et al · 2021
Cited alongside, same era.
PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology
Ling Luo, Shankai Yan, Po-Ting Lai, Daniel Veltri, Andrew Oler, Sandhya Xirasagar, Rajarshi Ghosh, Morgan Similuk, Peter N Robinson, and Zhiyong Lu. 2021 · 2021
Cited alongside, same era.
GLM: General Language Model Pretraining with Autoregressive Blank Infilling. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 320–335
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
Cited alongside, same era.
Ddxplus: A new dataset for automatic medical diagnosis
Arsene Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, and Joumana Ghosn. 2022 · 2022
Cited alongside, same era.
PhenoBERT: a combined deep learning method for automated recognition of human phenotype ontology
Yuhao Feng, Lei Qi, and Weidong Tian. 2022 · 2022
Cited alongside, same era.
A guide for the diagnosis of rare and undiagnosed disease: beyond the exome
Shruti Marwaha, Joshua W Knowles, and Euan A Ashley. 2022 · 2022
Cited alongside, same era.
Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering. In Conference on Health, Inference, and Learning . PMLR, 248–260
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
Ethics of large language models in medicine and medical research
Hanzhou Li, John T Moon, Saptarshi Purkayastha, Leo Anthony Celi, Hari Trivedi, and Judy W Gichoya. 2023 · 2023
Later among the works it cites.
Benchmarking Large Language Models on CMExam–A Comprehensive Chinese Medical Exam Dataset
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, et al · 2023
Later among the works it cites.
Exploring the Boundaries of GPT-4 in Radiology. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 14414–14445
Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, et al · 2023
Later among the works it cites.
Towards accurate differential diagnosis with large language models
Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, et al · 2023
Later among the works it cites.
Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, Harlan M Krumholz, Jure Leskovec, Eric J Topol, and Pranav Rajpurkar. 2023 · 2023
Later among the works it cites.
Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023a · 2023
Later among the works it cites.
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolo Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, et al · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Later among the works it cites.
Using fine-tuned large language models to parse clinical notes in musculoskeletal pain disorders
Akhil Vaid, Isotta Landi, Girish Nadkarni, and Ismail Nabeel. 2023 · 2023
Later among the works it cites.
Chatcad: Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen. 2023 · 2023
Later among the works it cites.
Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT
Jingye Yang, Cong Liu, Wendy Deng, Da Wu, Chunhua Weng, Yunyun Zhou, and Kai Wang. 2023 · 2023
Later among the works it cites.
Phen2Disease: a phenotype-driven model for disease and gene prioritization by bidirectional maximum matching semantic similarities
Weiqi Zhai, Xiaodi Huang, Nan Shen, and Shanfeng Zhu. 2023 · 2023
Later among the works it cites.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin, Pierre-Antoine Gourraud, Mickael Rouvier, and Richard Dufour. 2024 · 2024
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Towards Conversational Diagnostic AI
Tao Tu, Anil Palepu, Mike Schaekermann, Khaled Saab, Jan Freyberg, Ryutaro Tanno, Amy Wang, Brenna Li, Mohamed Amin, Nenad Tomasev, et al · 2024
Closest in time.