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Celi, Leo Anthony

  1. Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
    2017/05/23 by Aniruddh Raghu, Matthieu Komorowski, Raghu, Aniruddh +7 · 17 citations
    Computer Science · Medicine · #FOS: Computer and information sciences #Intensive Care Unit Cognitive Disorders #Machine Learning (cs.LG) #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment
  2. Clinical Intervention Prediction and Understanding using Deep Networks
    2017/05/23 by Harini Suresh, Suresh, Harini, Nathan Hunt +9 · 10 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
  3. Evaluating Reinforcement Learning Algorithms in Observational Health Settings
    2018/05/31 by Omer Gottesman, Fredrik Johansson, Gottesman, Omer +35 · 8 citations
    Computer Science · Economics, Econometrics and Finance · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
  4. Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
    2020/02/10 by Gottesman, Omer, Futoma, Joseph, Liu, Yao +4 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
    2024/06/17 by Jack Gallifant, Gallifant, Jack, Shan Chen +17 · 5 citations
    Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Genomics and Rare Diseases
  6. Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
    2024/05/09 by Chen, Shan, Gallifant, Jack, Gao, Mingye +12 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  7. Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
    2020/12/22 by Amir Pouran Ben Veyseh, Franck Dernoncourt, Veyseh, Amir Pouran Ben +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling #Advanced Text Analysis Techniques
  8. Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
    2024/12/18 by David Restrepo, Chenwei Wu, Restrepo, David +31 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Acute Ischemic Stroke Management #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences #Retinal Imaging and Analysis
  9. Learning to Ask Like a Physician
    2022/06/06 by Lehman, Eric, Lialin, Vladislav, Legaspi, Katelyn Y. +15 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  10. Generalization in medical AI: a perspective on developing scalable models
    2023/11/09 by Leo Anthony Celi, Zvuloni, Eran, Celi, Leo Anthony +2 · 3 citations
    Computer Science · Medicine · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
  11. DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
    2024/04/18 by David Restrepo, Restrepo, David, Chenwei Wu +9 · 3 citations
    Computer Science · #Semantic Web and Ontologies
  12. Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
    2017/03/25 by Sebastian Gehrmann, Gehrmann, Sebastian, Franck Dernoncourt +19 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Healthcare #Biomedical Text Mining and Ontologies #Topic Modeling
  13. BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
    2025/04/28 by Wu, Jiageng, Gu, Bowen, Zhou, Ren +14 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  14. Ensembles of Locally Independent Prediction Models
    2019/11/04 by Ross, Andrew Slavin, Pan, Weiwei, Celi, Leo Anthony +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
    2020/03/06 by Moseley, Edward T., Wu, Joy T., Welt, Jonathan +7 · 1 citation
    #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images
    2023/12/22 by Yevgeniy Men, Jonathan Fhima, Men, Yevgeniy +9 · 2 citations
    Health Professions · Medicine · #Artificial Intelligence in Healthcare #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Retinal Diseases and Treatments #Retinal Imaging and Analysis #electronic engineering #information engineering
  17. Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment
    2021/01/09 by Kristine Zhang, Zhang, Kristine, Yuanheng Wang +11 · 1 citation
    Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment
  18. Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
    2023/11/21 by Heming, Carolina A. M., Abdalla, Mohamed, Mohanna, Shahram +8 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications
    2024/06/02 by Restrepo, David, Wu, Chenwei, Cajas, Sebastián Andrés +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective
    2024/06/19 by David Restrepo, Chenwei Wu, Restrepo, David +10 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, AI, and Intellectual Property
  21. Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis
    2025/06/27 by Attrach, Rafi Al, Moreira, Pedro, Fani, Rajna +3 · 2 citations
    #68P15 #68T50 #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #H.2.3 #I.2.7 #Information Retrieval (cs.IR) #J.3
  22. Critical Appraisal of Fairness Metrics in Clinical Predictive AI
    2025/06/20 by João Matos, Ben Van Calster, Matos, João +15 · 2 voices
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.LG