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2020 – today
- 2024
[j37]Louis Agha-Mir-Salim
, Lucas McCullum, Enrico Dähnert, Yanick-Daniel Scheel, Ainsley Wilson, Marianne Carpio, Carmen Chan, Claudia Lo, Lindsay Maher, Corinna Dressler, Felix Balzer, Leo Anthony Celi, Akira-Sebastian Poncette, Michele M. Pelter:
Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis. Int. J. Medical Informatics 181: 105285 (2024)- [j36]Babajide O. Owosela, Rebecca S. Steinberg, Sharon L. Leslie, Leo A. Celi, Saptarshi Purkayastha, Rakesh Shiradkar, Janice M. Newsome, Judy W. Gichoya:
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. Int. J. Medical Informatics 182: 105303 (2024) - [j35]Usman Iqbal, Leon Tsung-Ju Lee, Annisa Ristya Rahmanti, Leo Anthony Celi, Yu-Chuan (Jack) Li:
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? J. Am. Medical Informatics Assoc. 31(6): 1341-1347 (2024) - [j34]Jacob G. Ellen, João Matos, Martin Viola, Jack Gallifant, Justin Quion, Leo Anthony Celi, Nebal S. Abu Hussein:
Participant flow diagrams for health equity in AI. J. Biomed. Informatics 152: 104631 (2024) - [j33]Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos, Tristan Struja:
Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations. J. Biomed. Informatics 153: 104643 (2024) - [j32]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97: 103224 (2024) - [j31]Marieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan:
Federated learning is not a cure-all for data ethics. Nat. Mac. Intell. 6(4): 370-372 (2024) - [c34]Somin Mindy Lee, Daniel Chung, Vasu Kaker, Yongyi Zhao, Irbaz Riaz, Sudheesha Perera, Prabhu Sasankan, George Tang, Po-Chih Kuo, Jacques Kpodonu, Brigitte Kazzi, Leo Anthony Celi:
Echocardiogram Vector Embeddings Via R3D Transformer for the Improvement of Ejection Fraction Estimation Instruments. I2MTC 2024: 1-6 - [i47]Kuan-Ting Kuo, Dana Moukheiber, Sebastián Cajas Ordonez, David Restrepo, Atika Rahman Paddo, Tsung-Yu Chen, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Saptarshi Purkayastha, Po-Chih Kuo, Leo Anthony Celi:
DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. CoRR abs/2401.11114 (2024) - [i46]Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - [i45]David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López:
DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. CoRR abs/2404.12278 (2024) - [i44]Lasse Hyldig Hansen, Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K. Stone, Nura Izath, Marcela Aguirre-Jerez, Danielle S. Bitterman, Judy Gichoya, Leo Anthony Celi:
Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. CoRR abs/2405.05049 (2024) - [i43]Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo J. W. L. Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman:
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. CoRR abs/2405.05506 (2024) - [i42]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR abs/2405.17921 (2024) - [i41]David Restrepo, Chenwei Wu, Sebastián Andrés Cajas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López:
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. CoRR abs/2406.02601 (2024) - [i40]Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman:
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. CoRR abs/2406.12066 (2024) - 2023
- [j30]Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi, Venet Osmani:
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. Artif. Intell. Medicine 144: 102659 (2023) - [j29]Ali Samadani, Taiyao Wang, Kees van Zon, Leo Anthony Celi:
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning. Artif. Intell. Medicine 146: 102715 (2023) - [j28]Ryan Wang, Li-Ching Chen, Lama Moukheiber, Kenneth Patrick Seastedt, Mira Moukheiber, Dana Moukheiber, Zachary Zaiman, Sulaiman Moukheiber, Tess Litchman, Hari Trivedi, Rebecca Steinberg, Judy W. Gichoya, Po-Chih Kuo, Leo A. Celi:
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. Int. J. Medical Informatics 178: 105211 (2023) - [j27]Alessandro Hammond, Bhav Jain, Leo Anthony Celi, Fatima Cody Stanford:
An extension to the FDA approval process is needed to achieve AI equity. Nat. Mac. Intell. 5(2): 96-97 (2023) - [j26]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023) - [c33]Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi:
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. AIES 2023: 333-350 - [c32]Chenwei Wu, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun, Ziqian Liao, Bo Fan, Mauricio Santillana, Leo A. Celi, Paolo Silva, Luis Filipe Nakayama:
De-identification and Obfuscation of Gender Attributes from Retinal Scans. CLIP/FAIMI/EPIMI@MICCAI 2023: 91-101 - [c31]Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi:
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO 2023: 4:1-4:14 - [c30]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER 2023: 1-4 - [i39]Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu:
Towards clinical AI fairness: A translational perspective. CoRR abs/2304.13493 (2023) - [i38]Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi:
Evaluating the Impact of Social Determinants on Health Prediction. CoRR abs/2305.12622 (2023) - [i37]Reagan Mozer, Aaron Russell Kaufman, Leo Anthony Celi, Luke Miratrix:
Leveraging text data for causal inference using electronic health records. CoRR abs/2307.03687 (2023) - [i36]Luis Filipe Nakayama, João Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Rogers Mwavu, Ju-Yi Ji Hung, Alvina Pauline dy Santiago, Warachaya Phanphruk, Jaime S. Cardoso, Leo Anthony Celi:
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. CoRR abs/2310.04997 (2023) - [i35]Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng:
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i34]Joachim A. Behar, Jeremy Levy, Leo Anthony Celi:
Generalization in medical AI: a perspective on developing scalable models. CoRR abs/2311.05418 (2023) - [i33]Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari:
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR abs/2311.12560 (2023) - [i32]Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar:
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. CoRR abs/2312.14891 (2023) - 2022
- [j25]Joy Tzung-yu Wu, Miguel Ángel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi:
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study. J. Digit. Imaging 35(6): 1514-1529 (2022) - [j24]Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio:
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digit. Medicine 5 (2022) - [j23]Zhongheng Zhang, Lin Chen, Ping Xu, Qing Wang, Jianjun Zhang, Kun Chen, Casey M. Clements, Leo Anthony Celi, Vitaly Herasevich, Yucai Hong:
Effectiveness of automated alerting system compared to usual care for the management of sepsis. npj Digit. Medicine 5 (2022) - [j22]Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez:
An interpretable RL framework for pre-deployment modeling in ICU hypotension management. npj Digit. Medicine 5 (2022) - [c29]Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi:
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. AIES 2022: 7-21 - [c28]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA 2022 - [c27]Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill:
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CHIL 2022: 397-410 - [c26]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Preface. Gaze Meets ML 2022: 1-2 - [c25]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. MICCAI (1) 2022: 581-591 - [e2]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Proceedings of The 1st Gaze Meets ML workshop, in conjunction with the Annual Conference on Neural Information Processing Systems, 03 December 2022, New Orleans, USA. Proceedings of Machine Learning Research 210, PMLR 2022 [contents] - [i31]Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi:
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations. CoRR abs/2205.03931 (2022) - [i30]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - [i29]Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar:
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR abs/2207.14638 (2022) - [i28]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. CoRR abs/2208.03873 (2022) - [i27]Ryan Wang, Li-Ching Chen, Lama Moukheiber, Mira Moukheiber, Dana Moukheiber, Zach Zaiman, Sulaiman Moukheiber, Tess Litchman, Kenneth Patrick Seastedt, Hari Trivedi, Rebecca Steinberg, Po-Chih Kuo, Judy Gichoya, Leo Anthony Celi:
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. CoRR abs/2211.06925 (2022) - 2021
- [j21]Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi:
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. npj Digit. Medicine 4 (2021) - [j20]Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo A. Celi, Gernot Marx, Lukas Martin:
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digit. Medicine 4 (2021) - [j19]Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee:
Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digit. Medicine 4 (2021) - [c24]Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi:
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. SDU@AAAI 2021 - [c23]Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 2021 - [e1]Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi:
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, SDU@AAAI 2021, Virtual Event, February 9, 2021. CEUR Workshop Proceedings 2831, CEUR-WS.org 2021 [contents] - [i26]Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez:
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. CoRR abs/2101.03309 (2021) - [i25]Gloria Hyun-Jung Kwak, Christina Chen, Lowell Ling, Erina Ghosh, Leo Anthony Celi, Pan Hui:
Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability. CoRR abs/2101.06443 (2021) - [i24]Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi:
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. CoRR abs/2107.07582 (2021) - [i23]Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya:
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR abs/2107.10356 (2021) - [i22]Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. CoRR abs/2108.00316 (2021) - [i21]Joy Tzung-yu Wu, Miguel Ángel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi:
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study. CoRR abs/2109.02439 (2021) - [i20]Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill:
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CoRR abs/2111.14272 (2021) - 2020
- [j18]Stuart McLennan, Amelia Fiske, Leo Anthony Celi, Ruth Müller, Jan Harder, Konstantin Ritt, Sami Haddadin, Alena Buyx:
An embedded ethics approach for AI development. Nat. Mach. Intell. 2(9): 488-490 (2020) - [j17]Liam G. McCoy, Sujay Nagaraj, Felipe Morgado, Vinyas Harish, Sunit Das, Leo Anthony Celi:
What do medical students actually need to know about artificial intelligence? npj Digit. Medicine 3 (2020) - [j16]Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi:
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. npj Digit. Medicine 3 (2020) - [c22]Andrew Slavin Ross, Weiwei Pan, Leo A. Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. AAAI 2020: 5527-5536 - [c21]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Deep Neural Networks. AAAI 2020: 6413-6421 - [c20]Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo A. Celi, Emma Brunskill, Finale Doshi-Velez:
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. ICML 2020: 3658-3667 - [c19]Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. LREC 2020: 1362-1367 - [c18]Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS 2020 - [i19]Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou:
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation. CoRR abs/2001.10977 (2020) - [i18]Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez:
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. CoRR abs/2002.03478 (2020) - [i17]Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. CoRR abs/2003.03044 (2020) - [i16]Aaron Sonabend W., Junwei Lu, Leo A. Celi, Tianxi Cai, Peter Szolovits:
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. CoRR abs/2006.13189 (2020) - [i15]Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer:
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR abs/2008.13412 (2020) - [i14]David R. Bellamy, Leo A. Celi, Andrew L. Beam:
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data. CoRR abs/2010.01149 (2020) - [i13]Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi:
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. CoRR abs/2012.11760 (2020)
2010 – 2019
- 2019
- [j15]Christopher V. Cosgriff, Leo Anthony Celi, Stephanie Q. Ko, Tejas Sundaresan, Miguel Ángel Armengol de La Hoz, Aaron Russell Kaufman, David J. Stone, Omar Badawi, Rodrigo Octávio Deliberato:
Developing well-calibrated illness severity scores for decision support in the critically ill. npj Digit. Medicine 2 (2019) - [j14]Antonin Dauvin, Carolina Donado, Patrik Bachtiger, Ke-Chun Huang, Christopher Martin Sauer, Daniele Ramazzotti, Matteo Bonvini, Leo Anthony Celi, Molly J. Douglas:
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. npj Digit. Medicine 2 (2019) - [j13]Trishan Panch, Heather Mattie, Leo Anthony Celi:
The "inconvenient truth" about AI in healthcare. npj Digit. Medicine 2 (2019) - [j12]Aaron Stupple, David Singerman, Leo Anthony Celi:
The reproducibility crisis in the age of digital medicine. npj Digit. Medicine 2 (2019) - [j11]Aaron Stupple, David Singerman, Leo Anthony Celi:
Author Correction: The reproducibility crisis in the age of digital medicine. npj Digit. Medicine 2 (2019) - [c17]Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi:
Identifying documented medical non-adherence from clinical notes using natural language processing. AMIA 2019 - [c16]J. E. Garcia-Gallo, N. J. Fonseca-Ruiz, Leo A. Celi, J. F. Duitama-Muñoz:
One-Year Mortality Prediction in ICU Patients with Diagnosis of Sepsis Driven by Population Similarities. BIBE 2019: 480-484 - [c15]Aldo Arévalo, Bernardo M. Firme, Susana M. Vieira, Leo A. Celi, Stan N. Finkelstein, João M. C. Sousa:
Fuzzy Modeling of Survival Associated to Insulin Therapy in the ICU. FUZZ-IEEE 2019: 1-6 - [c14]João M. C. Sousa, Susana M. Vieira, João P. Carvalho, Sara C. Madeira, Leo A. Celi, Stan N. Finkelstein:
An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs. FUZZ-IEEE 2019: 1-6 - [i12]Matthieu Komorowski, Leo A. Celi, Omar Badawi, Anthony C. Gordon, A. Aldo Faisal:
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. CoRR abs/1903.02345 (2019) - [i11]Mike Wu, Sonali Parbhoo, Michael C. Hughes, Ryan Kindle, Leo A. Celi, Maurizio Zazzi, Volker Roth, Finale Doshi-Velez:
Regional Tree Regularization for Interpretability in Black Box Models. CoRR abs/1908.04494 (2019) - [i10]Amber Nigam, Pragati Jaiswal, Uma M. Girkar, Teertha Arora, Leo A. Celi:
Migration through Machine Learning Lens - Predicting Sexual and Reproductive Health Vulnerability of Young Migrants. CoRR abs/1910.02390 (2019) - [i9]Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez:
Ensembles of Locally Independent Prediction Models. CoRR abs/1911.01291 (2019) - 2018
- [j10]Usman Iqbal, Alon Dagan, Syed Abdul Shabbir, Leo Anthony Celi, Shwetambara Malwade, Min-Huei Hsu, Yu-Chuan (Jack) Li:
A hackathon promoting Taiwanese health-IoT innovation. Comput. Methods Programs Biomed. 163: 29-32 (2018) - [j9]Mataroria P. Lyndon, Michael P. Cassidy, Leo Anthony Celi, Luk Hendrik, Yoon Jeon Kim, Nicholas Gomez, Nathaniel Baum, Lucas Bulgarelli, Kenneth Paik, Alon Dagan:
Hacking Hackathons: Preparing the next generation for the multidisciplinary world of healthcare technology. Int. J. Medical Informatics 112: 1-5 (2018) - [j8]Felipe Maia de Toledo Piza, Leo Anthony Celi, Rodrigo Deliberato, Lucas Bulgarelli, Fabricio Rodrigues Torres de Carvalho, Roberto Rabello Filho, Miguel Ángel Armengol de La Hoz, Jennifer Cohn Kesselheim:
Assessing team effectiveness and affective learning in a datathon. Int. J. Medical Informatics 112: 40-44 (2018) - [j7]Joy T. Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D. Tyler, Edward T. Moseley, Eric T. Carlson, David W. Grant, Yeran Li, Jonathan Welt, Leo Anthony Celi:
Behind the scenes: A medical natural language processing project. Int. J. Medical Informatics 112: 68-73 (2018) - [j6]Alistair E. W. Johnson, David J. Stone, Leo A. Celi, Tom J. Pollard:
The MIMIC Code Repository: enabling reproducibility in critical care research. J. Am. Medical Informatics Assoc. 25(1): 32-39 (2018) - [c13]Andre D. Silva, Clara C. Correia, Cátia M. Salgado, Stan N. Finkelstein, Leo A. Celi, João M. C. Sousa, Susana M. Vieira:
Fuzzy Modeling for Predicting Patient Survival Rate in ICU with AKI. FUZZ-IEEE 2018: 1-6 - [c12]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Racial Disparities and Mistrust in End-of-Life Care. MLHC 2018: 587-602 - [i8]Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR abs/1805.12298 (2018) - [i7]Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Modeling Mistrust in End-of-Life Care. CoRR abs/1807.00124 (2018) - [i6]Daniele Ramazzotti, Peter Clardy, Leo Anthony Celi, David J. Stone, Robert S. Rudin:
Withholding aggressive treatments may not accelerate time to death among dying ICU patients. CoRR abs/1808.02017 (2018) - [i5]Uma M. Girkar, Ryo Uchimido, Li-Wei H. Lehman, Peter Szolovits, Leo A. Celi, Wei-Hung Weng:
Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. CoRR abs/1812.00699 (2018) - 2017
- [j5]Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez:
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J. Am. Medical Informatics Assoc. 24(3): 488-495 (2017) - [c11]Alistair E. W. Johnson, Tom J. Pollard, Leo A. Celi, Roger G. Mark:
Analyzing the eICU Collaborative Research Database. BCB 2017: 631 - [c10]Ricardo Pacheco, Cátia M. Salgado, Rodrigo Deliberato, Leo Anthony Celi, Susana M. Vieira:
Short-term prediction of low kidney function in ICU patients. FUZZ-IEEE 2017: 1-5 - [c9]Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC 2017: 147-163 - [c8]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC 2017: 322-337 - [i4]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, Leo Anthony Celi:
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping. CoRR abs/1703.08705 (2017) - [i3]Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR abs/1705.08422 (2017) - [i2]Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi:
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR abs/1705.08498 (2017) - [i1]Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed, Leo A. Celi, Peter Szolovits, Marzyeh Ghassemi:
Deep Reinforcement Learning for Sepsis Treatment. CoRR abs/1711.09602 (2017) - 2016
- [c7]Yuan Luo, Yu Xin, Rohit Joshi, Leo A. Celi, Peter Szolovits:
Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. AAAI 2016: 42-50 - 2014
- [j4]Leo Anthony Celi, Edward T. Moseley, Christopher Moses, Padhraig Ryan, Melek Somai, David J. Stone, Kai-ou Tang:
From Pharmacovigilance to Clinical Care Optimization. Big Data 2(3): 134-141 (2014) - 2013
- [j3]Federico Cismondi, Leo A. Celi, André S. Fialho, Susana M. Vieira, Shane R. Reti, João M. C. Sousa, Stan N. Finkelstein:
Reducing unnecessary lab testing in the ICU with artificial intelligence. Int. J. Medical Informatics 82(5): 345-358 (2013) - [j2]Daniel J. Scott, Joon Lee, Ikaro Silva, Shinhyuk Park, George B. Moody, Leo A. Celi, Roger G. Mark:
Accessing the public MIMIC-II intensive care relational database for clinical research. BMC Medical Informatics Decis. Mak. 13: 9 (2013) - 2012
- [j1]Leo A. Celi, Roger G. Mark, Joon Lee, Daniel J. Scott, Trishan Panch:
Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System. J. Comput. Sci. Eng. 6(1): 51-59 (2012) - [c6]Kenneth Paik, Eric Winkler, Russell Ryan, Leo A. Celi, William T. Lester:
Sana Mobile 2.0: Technical Architecture for an Open Source Platform for Global mHealth. AMIA 2012 - [c5]Clayton Maciel Costa, Dikson D. Gondim, Dibson D. Gondim, Heliana B. Soares, Anna G. C. D. Ribeiro, Ikaro Silva, Erick Winkler, Leo A. Celi, Ana M. G. Guerreiro, Cicilia Raquel Maia Leite:
S2DIA: A Diagnostic System for Diabetes mellitus using SANA platform. EMBC 2012: 6078-6081 - 2011
- [c4]Federico Cismondi, André S. Fialho, Susana M. Vieira, João M. C. Sousa, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein:
Predicting laboratory testing in intensive care using fuzzy and neural modeling. FUZZ-IEEE 2011: 2096-2103 - [c3]André S. Fialho, Federico Cismondi, Susana M. Vieira, João M. C. Sousa, Shane R. Reti, Leo A. Celi, Michael D. Howell, Stan N. Finkelstein:
Fuzzy modeling to predict administration of vasopressors in intensive care unit patients. FUZZ-IEEE 2011: 2296-2303 - [c2]George E. Dafoulas, Stylianos Koutsias, Joachim Behar, Juan D. Osorio, Brian Malley, Alexander Gruentzig, Leo Anthony Celi, Pantelis Angelidis, Kyriaki Theodorou, Athanasios Giannoukas:
Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations. MobiHealth 2011: 158-164 - 2010
- [c1]Tiffany Chen, Katherine Kuan, Leo A. Celi, Gari D. Clifford:
Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit. AAAI Spring Symposium: Artificial Intelligence for Development 2010
Coauthor Index
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