Leo Anthony Celi

1. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
   2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 48 citations
   Decision Sciences · Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Healthcare cost, quality, practices #Meta-analysis and systematic reviews
2. Deep Reinforcement Learning for Sepsis Treatment
   2017/11/27 by Aniruddh Raghu, Raghu, Aniruddh, Matthieu Komorowski +9 · 21 citations
   Medicine · Computer Science · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Clinical Reasoning and Diagnostic Skills
3. Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
   2017/05/23 by Aniruddh Raghu, Matthieu Komorowski, Raghu, Aniruddh +7 · 19 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
4. The MIMIC Code Repository: enabling reproducibility in critical care research
   2017/07/27 by Alistair E. W. Johnson, Alistair E W Johnson, David J. Stone +5 · 10 citations
   Biochemistry, Genetics and Molecular Biology · Decision Sciences · Medicine · #Biomedical Text Mining and Ontologies #Meta-analysis and systematic reviews #Sepsis Diagnosis and Treatment
5. Chest ImaGenome Dataset for Clinical Reasoning
   2021/07/31 by Joy T. Wu, Wu, Joy T., Nkechinyere N. Agu +21 · 11 citations
   Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
6. 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
7. The TRIPOD-LLM reporting guideline for studies using large language models
   2025/01/01 by Jack Gallifant, Majid Afshar, Saleem Ameen +30 · 1 voice · 19 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
8. Evaluating Reinforcement Learning Algorithms in Observational Health Settings
   2018/05/31 by Omer Gottesman, Fredrik Johansson, Gottesman, Omer +35 · 9 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
9. Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
   2020/06/23 by Aaron Sonabend-W, Sonabend-W, Aaron, Junwei Lu +7 · 3 citations
   Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reinforcement Learning in Robotics
10. Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
    2024/06/17 by Jack Gallifant, Gallifant, Jack, Shan Chen +17 · 6 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
11. Coding Inequity: Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
    2023/07/16 by Travis Zack, Eric Lehman, Mirac Süzgün +9 · 1 voice · 3 citations
    Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Clinical Reasoning and Diagnostic Skills #Healthcare cost, quality, practices
12. Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding
    2020/12/22 by Amir Pouran Ben Veyseh, Veyseh, Amir Pouran Ben, Franck Dernoncourt +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Topic Modeling #Advanced Text Analysis Techniques
13. 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
14. 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)
15. Leveraging text data for causal inference using electronic health records
    2023/06/09 by Reagan Mozer, Mozer, Reagan, Aaron Kaufman +5 · 2 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Causal Inference Techniques #Applications (stat.AP) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Methodology (stat.ME) #demographic modeling and climate adaptation
16. WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation
    2024/10/16 by João Matos, Shan Chen, Matos, João +29 · 4 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
17. 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
18. Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
    2017/03/25 by Sebastian Gehrmann, Franck Dernoncourt, Gehrmann, Sebastian +19 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Healthcare #Biomedical Text Mining and Ontologies #Topic Modeling
19. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
    2025/03/24 by Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul +25 · 1 voice · 3 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
20. 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
21. Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
    2020/10/02 by David Bellamy, Leo Anthony Celi, Bellamy, David +3 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
22. 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
23. Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability
    2018/12/03 by Uma Girkar, Girkar, Uma M., Ryo Uchimido +9 · 3 citations
    Engineering · Medicine · #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Heart Rate Variability and Autonomic Control #Hemodynamic Monitoring and Therapy #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Physics (physics.med-ph) #Non-Invasive Vital Sign Monitoring #Quantitative Methods (q-bio.QM)
24. Artificial intelligence for telemedicine diabetic retinopathy screening: a review
    2023/09/21 by Luis Filipe Nakayama, Lucas Zago Ribeiro, Frederico Novaes +11 · 1 citation
    Medicine · #Retinal Imaging and Analysis #Retinal Diseases and Treatments #Telemedicine and Telehealth Implementation
25. Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking
    2024/08/08 by Inês Martins, Martins, Inês, João Matos +9 · 1 citation
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Non-Invasive Vital Sign Monitoring
26. Critical Appraisal of Fairness Metrics in Clinical Predictive AI
    2025/06/20 by João Matos, Matos, João, Ben Van Calster +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