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Matching patients to clinical trials is a key unsolved challenge in bringing new drugs to market.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 1908
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Personal benefit, or benefiting others? deciding whether to take part in clinical trials
Louise Locock and Lorraine Smith · 2011
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EliXR: an approach to eligibility criteria extraction and representation
C. Weng, X. Wu, Z. Luo, M. R. Boland, D. Theodoratos, and S. B. Johnson · 2011
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Considerations for improving patient recruitment into clinical trials
A Nuttall · 2012
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Effort required in eligibility screening for clinical trials
Lynne T Penberthy, Bassam A Dahman, Valentina I Petkov, and Jonathan P DeShazo · 2012
Earlier work this paper cites.
Creation of a new longitudinal corpus of clinical narratives
Vishesh Kumar, Amber Stubbs, Stanley Shaw, and Özlem Uzuner · 2015
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Challenges in clinical natural language processing for automated disorder normalization
Robert Leaman, Ritu Khare, and Zhiyong Lu · 2015
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus
Amber Stubbs and Özlem Uzuner · 2015
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A test collection for matching patients to clinical trials
Bevan Koopman and Guido Zuccon · 2016
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Comparing rule-based and deep learning models for patient phenotyping
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T Carlson, Joy T Wu, Jonathan Welt, John Foote Jr, Edward T Moseley, David W Grant, Patrick D Tyler, et al · 2017
Earlier work this paper cites.
EliIE: An open-source information extraction system for clinical trial eligibility criteria
Tian Kang, Shaodian Zhang, Youlan Tang, Gregory W Hruby, Alexander Rusanov, Noémie Elhadad, and Chunhua Weng · 2017
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A phase ii, randomized, double-blind, placebo-controlled study to evaluate the safety and efficacy of tj301 (fe 999301) administered intravenously in patients with active ulcerative colitis
Leading Biopharm Limited · 2017
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Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder · 2018
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Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
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Managing unstructured big data in healthcare system
Hyoun-Joong Kong · 2019
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Michel Oleynik, Amila Kugic, Zdenko Kasáč, and Markus Kreuzthaler · 2019
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Cohort selection for clinical trials: n2c2 2018 shared task track 1
Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, and Özlem Uzuner · 2019
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An ai boost for clinical trials
Marcus Woo · 2019
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Criteria2Query: a natural language interface to clinical databases for cohort definition
Chi Yuan, Patrick B Ryan, Casey Ta, Yixuan Guo, Zir Li, Jill Hardin, Rupa Makadia, Peng Jin, Ning Shang, Tian Kang, and Chunhua Weng · 2019
Cited alongside, same era.
Online patient recruitment in clinical trials: systematic review and meta-analysis
Mette Brøgger-Mikkelsen, Zarqa Ali, John R Zibert, Anders Daniel Andersen, and Simon Francis Thomsen · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Improving clinical trial participant prescreening with artificial intelligence (ai): a comparison of the results of ai-assisted vs standard methods in 3 oncology trials
Denise Calaprice-Whitty, Karim Galil, Wael Salloum, Ashkon Zariv, and Bernal Jimenez · 2020
Cited alongside, same era.
Intelligent clinical trials
Deloitte · 2020
Cited alongside, same era.
Medalign: A clinician-generated dataset for instruction following with electronic medical records
Scott L Fleming, Alejandro Lozano, William J Haberkorn, Jenelle A Jindal, Eduardo P Reis, Rahul Thapa, Louis Blankemeier, Julian Z Genkins, Ethan Steinberg, Ashwin Nayak, et al · 2023
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Llms accelerate annotation for medical information extraction
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, et al · 2023
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Javier González, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, Roshanthi Weerasinghe, et al · 2023
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Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, et al · 2023
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Double-blind, double-dummy, phase 2 randomized, multicenter, proof-of-concept, safety and efficacy trial to evaluate different oral benznidazole monotherapy and benznidazole/e1224 combination regimens for the treatment of adult patients with chronic indeterminate chagas disease
DNDi · 2020
Cited alongside, same era.
Enhancing the diversity of clinical trial populations—eligibility criteria, enrollment practices, and trial designs guidance for industry
FDA · 2020
Cited alongside, same era.
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
Junyi Gao, Cao Xiao, Lucas M. Glass, and Jimeng Sun · 2020
Cited alongside, same era.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
Cited alongside, same era.
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction
Xingyao Zhang, Cao Xiao, Lucas M. Glass, and Jimeng Sun · 2020
Cited alongside, same era.
Evaluating eligibility criteria of oncology trials using real-world data and ai
Ruishan Liu, Shemra Rizzo, Samuel Whipple, Navdeep Pal, Arturo Lopez Pineda, Michael Lu, Brandon Arnieri, Ying Lu, William Capra, Ryan Copping, et al · 2021
Cited alongside, same era.
Overview of the trec 2021 clinical trials track
Kirk Roberts, Dina Demner-Fushman, Ellen M Voorhees, Steven Bedrick, and Willian R Hersh · 2021
Cited alongside, same era.
Matching patients to clinical trials with large language models
Qiao Jin, Zifeng Wang, Charalampos S Floudas, Jimeng Sun, and Zhiyong Lu · 2023
Later among the works it cites.
Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, and Ion Stoica · 2023
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Distilling large language models for matching patients to clinical trials
Mauro Nievas, Aditya Basu, Yanshan Wang, and Hrituraj Singh · 2023
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Yarn: Efficient context window extension of large language models
Bowen Peng, Jeffrey Quesnelle, Honglu Fan, and Enrico Shippole · 2023
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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
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Med-halt: Medical domain hallucination test for large language models
Logesh Kumar Umapathi, Ankit Pal, and Malaikannan Sankarasubbu · 2023
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Efficient guided generation for llms
Brandon T Willard and Rémi Louf · 2023
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Scaling clinical trial matching using large language models: A case study in oncology
Cliff Wong, Sheng Zheng, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, et al · 2023
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C-pack: Packaged resources to advance general chinese embedding, 2023
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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Using chatgpt to facilitate truly informed medical consent
Fatima N Mirza, Oliver Y Tang, Ian D Connolly, Hael A Abdulrazeq, Rachel K Lim, G Dean Roye, Cedric Priebe, Cheryl Chandler, Tiffany J Libby, Michael W Groff, et al · 2024
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Openai pricing, 2024
OpenAI · 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
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