Intelligent Heartsound Diagnostics on a Cellphone Using a Hands-Free Kit. - Tiffany Chen; Katherine Kuan; Leo A. Celi; Gari D. Clifford (AAAI Spring Symposium: Artificial Intelligence for Development, 2010)

Predicting laboratory testing in intensive care using fuzzy and neural modeling. - Federico Cismondi; André S. Fialho; Susana M. Vieira; João M. C. Sousa; Shane R. Reti; Leo A. Celi; Michael D. Howell; Stan N. Finkelstein (FUZZ-IEEE, 2011)

Fuzzy modeling to predict administration of vasopressors in intensive care unit patients. - André S. Fialho; Federico Cismondi; Susana M. Vieira; João M. C. Sousa; Shane R. Reti; Leo A. Celi; Michael D. Howell; Stan N. Finkelstein (FUZZ-IEEE, 2011)

Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations. - George E. Dafoulas; Stylianos Koutsias; Joachim Behar; Juan D. Osorio; Brian Malley; Alexander Gruentzig; Leo Anthony Celi; Pantelis Angelidis 001; Kyriaki Theodorou; Athanasios Giannoukas (MobiHealth, 2011)

Sana Mobile 2.0: Technical Architecture for an Open Source Platform for Global mHealth. - Kenneth Paik; Eric Winkler; Russell Ryan; Leo A. Celi; William T. Lester (AMIA, 2012)

S2DIA: A Diagnostic System for Diabetes mellitus using SANA platform. - 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 (EMBC, 2012)

Collective Experience: A Database-Fuelled, Inter-Disciplinary Team-Led Learning System. - Leo A. Celi; Roger G. Mark; Joon Lee; Daniel J. Scott; Trishan Panch (J. Comput. Sci. Eng., 2012)

Reducing unnecessary lab testing in the ICU with artificial intelligence. - Federico Cismondi; Leo A. Celi; André S. Fialho; Susana M. Vieira; Shane R. Reti; João M. C. Sousa; Stan N. Finkelstein (Int. J. Medical Informatics, 2013)

Accessing the public MIMIC-II intensive care relational database for clinical research. - Daniel J. Scott; Joon Lee; Ikaro Silva; Shinhyuk Park; George B. Moody; Leo A. Celi; Roger G. Mark (BMC Medical Informatics Decis. Mak., 2013)

From Pharmacovigilance to Clinical Care Optimization. - Leo Anthony Celi; Edward T. Moseley; Christopher Moses; Padhraig Ryan; Melek Somai; David J. Stone; Kai-ou Tang (Big Data, 2014)

Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements. - Yuan Luo 001; Yu Xin; Rohit Joshi; Leo A. Celi; Peter Szolovits (AAAI, 2016)

Analyzing the eICU Collaborative Research Database. - Alistair E. W. Johnson; Tom J. Pollard; Leo A. Celi; Roger G. Mark (BCB, 2017)

Short-term prediction of low kidney function in ICU patients. - Ricardo Pacheco; Cátia M. Salgado; Rodrigo Deliberato; Leo Anthony Celi; Susana M. Vieira (FUZZ-IEEE, 2017)

Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. - Aniruddh Raghu; Matthieu Komorowski; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (MLHC, 2017)

Clinical Intervention Prediction and Understanding with Deep Neural Networks. - Harini Suresh; Nathan Hunt; Alistair E. W. Johnson; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (MLHC, 2017)

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; Leo Anthony Celi (CoRR, 2017)

Clinical Intervention Prediction and Understanding using Deep Networks. - Harini Suresh; Nathan Hunt; Alistair E. W. Johnson; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (CoRR, 2017)

Deep Reinforcement Learning for Sepsis Treatment. - Aniruddh Raghu; Matthieu Komorowski; Imran Ahmed; Leo A. Celi; Peter Szolovits; Marzyeh Ghassemi (CoRR, 2017)

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. - Mike Wu; Marzyeh Ghassemi; Mengling Feng; Leo A. Celi; Peter Szolovits; Finale Doshi-Velez (J. Am. Medical Informatics Assoc., 2017)

Fuzzy Modeling for Predicting Patient Survival Rate in ICU with AKI. - Andre D. Silva; Clara C. Correia; Cátia M. Salgado; Stan N. Finkelstein; Leo A. Celi; João M. C. Sousa; Susana M. Vieira (FUZZ-IEEE, 2018)

Racial Disparities and Mistrust in End-of-Life Care. - Willie Boag; Harini Suresh; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (MLHC, 2018)

A hackathon promoting Taiwanese health-IoT innovation. - Usman Iqbal; Alon Dagan; Syed Abdul Shabbir; Leo Anthony Celi; Shwetambara Malwade; Min-Huei Hsu; Yu-Chuan (Jack) Li (Comput. Methods Programs Biomed., 2018)

Evaluating Reinforcement Learning Algorithms in Observational Health Settings. - 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; et al. (CoRR, 2018)

Modeling Mistrust in End-of-Life Care. - Willie Boag; Harini Suresh; Leo Anthony Celi; Peter Szolovits; Marzyeh Ghassemi (CoRR, 2018)

Withholding aggressive treatments may not accelerate time to death among dying ICU patients. - Daniele Ramazzotti; Peter Clardy; Leo Anthony Celi; David J. Stone; Robert S. Rudin (CoRR, 2018)

Predicting Blood Pressure Response to Fluid Bolus Therapy Using Attention-Based Neural Networks for Clinical Interpretability. - Uma M. Girkar; Ryo Uchimido; Li-Wei H. Lehman; Peter Szolovits; Leo A. Celi; Wei-Hung Weng (CoRR, 2018)

Hacking Hackathons: Preparing the next generation for the multidisciplinary world of healthcare technology. - Mataroria P. Lyndon; Michael P. Cassidy; Leo Anthony Celi; Luk Hendrik; Yoon Jeon Kim; Nicholas Gomez; Nathaniel Baum; Lucas Bulgarelli; Kenneth Paik; Alon Dagan (Int. J. Medical Informatics, 2018)

Assessing team effectiveness and affective learning in a datathon. - 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 (Int. J. Medical Informatics, 2018)

Behind the scenes: A medical natural language processing project. - 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 (Int. J. Medical Informatics, 2018)

The MIMIC Code Repository: enabling reproducibility in critical care research. - Alistair E. W. Johnson; David J. Stone; Leo A. Celi; Tom J. Pollard (J. Am. Medical Informatics Assoc., 2018)

Identifying documented medical non-adherence from clinical notes using natural language processing. - Joy T. Wu; David W. Grant; Shrey Lakhotia; Patrick D. Tyler; Daniel F. Gruhl; Chaitanya Shivade; Sebastian Gehrmann; Leo A. Celi (AMIA, 2019)

One-Year Mortality Prediction in ICU Patients with Diagnosis of Sepsis Driven by Population Similarities. - J. E. Garcia-Gallo; N. J. Fonseca-Ruiz; Leo A. Celi; J. F. Duitama-Muñoz (BIBE, 2019)

Fuzzy Modeling of Survival Associated to Insulin Therapy in the ICU. - Aldo Arévalo; Bernardo M. Firme; Susana M. Vieira; Leo A. Celi; Stan N. Finkelstein; João M. C. Sousa (FUZZ-IEEE, 2019)

An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs. - João M. C. Sousa; Susana M. Vieira; João P. Carvalho 001; Sara C. Madeira; Leo A. Celi; Stan N. Finkelstein (FUZZ-IEEE, 2019)

Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care. - Matthieu Komorowski; Leo A. Celi; Omar Badawi; Anthony C. Gordon; A. Aldo Faisal (CoRR, 2019)

Regional Tree Regularization for Interpretability in Black Box Models. - Mike Wu; Sonali Parbhoo; Michael C. Hughes; Ryan Kindle; Leo A. Celi; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (CoRR, 2019)

Migration through Machine Learning Lens - Predicting Sexual and Reproductive Health Vulnerability of Young Migrants. - Amber Nigam; Pragati Jaiswal; Uma M. Girkar; Teertha Arora; Leo A. Celi (CoRR, 2019)

Developing well-calibrated illness severity scores for decision support in the critically ill. - 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 (npj Digit. Medicine, 2019)

Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. - Antonin Dauvin; Carolina Donado; Patrik Bachtiger; Ke-Chun Huang; Christopher Martin Sauer; Daniele Ramazzotti; Matteo Bonvini; Leo Anthony Celi; Molly J. Douglas (npj Digit. Medicine, 2019)

The "inconvenient truth" about AI in healthcare. - Trishan Panch; Heather Mattie; Leo Anthony Celi (npj Digit. Medicine, 2019)

The reproducibility crisis in the age of digital medicine. - Aaron Stupple; David Singerman; Leo Anthony Celi (npj Digit. Medicine, 2019)

Author Correction: The reproducibility crisis in the age of digital medicine. - Aaron Stupple; David Singerman; Leo Anthony Celi (npj Digit. Medicine, 2019)

Ensembles of Locally Independent Prediction Models. - Andrew Slavin Ross; Weiwei Pan; Leo A. Celi; Finale Doshi-Velez (AAAI, 2020)

Regional Tree Regularization for Interpretability in Deep Neural Networks. - Mike Wu; Sonali Parbhoo; Michael C. Hughes; Ryan Kindle; Leo A. Celi; Maurizio Zazzi; Volker Roth 001; Finale Doshi-Velez (AAAI, 2020)

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. - Omer Gottesman; Joseph Futoma; Yao Liu 009; Sonali Parbhoo; Leo A. Celi; Emma Brunskill; Finale Doshi-Velez (ICML, 2020)

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. - 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 (LREC, 2020)

Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. - Aaron Sonabend W.; Junwei Lu; Leo Anthony Celi; Tianxi Cai; Peter Szolovits (NeurIPS, 2020)

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. - Xiaoli Liu 003; 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; et al. (CoRR, 2020)

Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. - Patrick Schwab; Arash Mehrjou; Sonali Parbhoo; Leo Anthony Celi; Jürgen Hetzel; Markus Hofer; Bernhard Schölkopf; Stefan Bauer (CoRR, 2020)

Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data. - David R. Bellamy; Leo A. Celi; Andrew L. Beam (CoRR, 2020)

An embedded ethics approach for AI development. - Stuart McLennan; Amelia Fiske; Leo Anthony Celi; Ruth Müller; Jan Harder; Konstantin Ritt; Sami Haddadin; Alena Buyx (Nat. Mach. Intell., 2020)

What do medical students actually need to know about artificial intelligence? - Liam G. McCoy; Sujay Nagaraj; Felipe Morgado; Vinyas Harish; Sunit Das; Leo Anthony Celi (npj Digit. Medicine, 2020)

"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. - Trishan Panch; Tom J. Pollard; Heather Mattie; Emily Lindemer; Pearse A. Keane; Leo Anthony Celi (npj Digit. Medicine, 2020)

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. - Amir Pouran Ben Veyseh; Franck Dernoncourt; Thien Huu Nguyen; Walter Chang; Leo Anthony Celi (SDU@AAAI, 2021)

Chest ImaGenome Dataset for Clinical Reasoning. - 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 (NeurIPS Datasets and Benchmarks, 2021)

Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. - Kristine Zhang; Yuanheng Wang; Jianzhun Du; Brian Chu; Leo Anthony Celi; Ryan Kindle; Finale Doshi-Velez (CoRR, 2021)

Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability. - Gloria Hyun-Jung Kwak; Christina Chen; Lowell Ling; Erina Ghosh; Leo Anthony Celi; Pan Hui (CoRR, 2021)

Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. - Behrooz Mamandipoor; Wesley Yeung; Louis Agha-Mir-Salim; David J. Stone; Venet Osmani; Leo Anthony Celi (CoRR, 2021)

Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - 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; et al. (CoRR, 2021)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Po-Chih Kuo; Cheng Che Tsai; Diego M. López; Alexandros Karargyris; Tom J. Pollard; Alistair E. W. Johnson; Leo Anthony Celi (npj Digit. Medicine, 2021)

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. - 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; et al. (npj Digit. Medicine, 2021)

Patient-specific COVID-19 resource utilization prediction using fusion AI model. - Amara Tariq; Leo Anthony Celi; Janice M. Newsome; Saptarshi Purkayastha; Neal Kumar Bhatia; Hari Trivedi; Judy Wawira Gichoya; Imon Banerjee (npj Digit. Medicine, 2021)

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. - Hammaad Adam; Ming-Ying Yang; Kenrick Cato; Ioana Baldini; Charles Senteio; Leo Anthony Celi; Jiaming Zeng; Moninder Singh; Marzyeh Ghassemi (AIES, 2022)

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (AMIA, 2022)

Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. - Ramtin Keramati; Omer Gottesman; Leo Anthony Celi; Finale Doshi-Velez; Emma Brunskill (CHIL, 2022)

Preface. - Ismini Lourentzou; Joy T. Wu; Satyananda Kashyap; Alexandros Karargyris; Leo Anthony Celi; Ban Kawas; Sachin S. Talathi (Gaze Meets ML, 2022)

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. - Gaurang Karwande; Amarachi Mbakawe; Joy T. Wu; Leo A. Celi; Mehdi Moradi; Ismini Lourentzou (MICCAI (1), 2022)

Learning to Ask Like a Physician. - 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; et al. (CoRR, 2022)

Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. - Jonathan A. Sobel; Ronit Almog; Leo Anthony Celi; Michal Gaziel Yablowitz; Danny Eytan; Joachim A. Behar (CoRR, 2022)

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. - 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; et al. (CoRR, 2022)

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study. - 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; et al. (J. Digit. Imaging, 2022)

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. - Jean Feng; Rachael V. Phillips; Ivana Malenica; Andrew Bishara; Alan E. Hubbard; Leo A. Celi; Romain Pirracchio (npj Digit. Medicine, 2022)

Effectiveness of automated alerting system compared to usual care for the management of sepsis. - Zhongheng Zhang; Lin Chen; Ping Xu; Qing Wang; Jianjun Zhang; Kun Chen; Casey M. Clements; Leo Anthony Celi; Vitaly Herasevich; Yucai Hong (npj Digit. Medicine, 2022)

An interpretable RL framework for pre-deployment modeling in ICU hypotension management. - Kristine Zhang; Henry Wang; Jianzhun Du; Brian Chu; Aldo Arévalo; Ryan Kindle; Leo Anthony Celi; Finale Doshi-Velez (npj Digit. Medicine, 2022)

Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. - Ming-Ying Yang; Gloria Hyun-Jung Kwak; Tom J. Pollard; Leo Anthony Celi; Marzyeh Ghassemi (AIES, 2023)

De-identification and Obfuscation of Gender Attributes from Retinal Scans. - Chenwei Wu 006; 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 (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Taking Off with AI: Lessons from Aviation for Healthcare. - 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 (EAAMO, 2023)

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. - Amara Tariq; Siyi Tang; Hifza Sakhi; Leo Anthony Celi; Janice M. Newsome; Daniel L. Rubin; Hari Trivedi; Judy Gichoya; Bhavik N. Patel; Imon Banerjee (NER, 2023)

Towards clinical AI fairness: A translational perspective. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (CoRR, 2023)

Evaluating the Impact of Social Determinants on Health Prediction. - Ming-Ying Yang; Gloria Hyun-Jung Kwak; Tom J. Pollard; Leo Anthony Celi; Marzyeh Ghassemi (CoRR, 2023)

Leveraging text data for causal inference using electronic health records. - Reagan Mozer; Aaron Russell Kaufman; Leo Anthony Celi; Luke Miratrix (CoRR, 2023)

Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. - 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 001; Leo Anthony Celi (CoRR, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Generalization in medical AI: a perspective on developing scalable models. - Joachim A. Behar; Jeremy Levy; Leo Anthony Celi (CoRR, 2023)

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. - Carolina A. M. Heming; Mohamed Abdalla 001; Monish Ahluwalia; Linglin Zhang; Hari Trivedi; Minjae Woo; Benjamin Fine; Judy Wawira Gichoya; Leo Anthony Celi; Laleh Seyyed-Kalantari (CoRR, 2023)

DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. - Yevgeniy Men; Jonathan Fhima; Leo Anthony Celi; Lucas Zago Ribeiro; Luis Filipe Nakayama; Joachim A. Behar (CoRR, 2023)

A translational perspective towards clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Mayli Mertens; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; Zhen Ling Teo; Ting Fang Tan; Ravi Chandran Narrendar; Fei Wang 001; et al. (npj Digit. Medicine, 2023)

An extension to the FDA approval process is needed to achieve AI equity. - Alessandro Hammond; Bhav Jain; Leo Anthony Celi; Fatima Cody Stanford (Nat. Mac. Intell., 2023)

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. - Seyedmostafa Sheikhalishahi; Anirban Bhattacharyya; Leo Anthony Celi; Venet Osmani (Artif. Intell. Medicine, 2023)

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. - 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; et al. (Int. J. Medical Informatics, 2023)

VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning. - Ali Samadani; Taiyao Wang; Kees van Zon; Leo Anthony Celi (Artif. Intell. Medicine, 2023)

MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries. - Mohamed Elgaar; Jiali Cheng; Nidhi Vakil; Hadi Amiri; Leo Anthony Celi (ACL (Findings), 2024)

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. - Jack Gallifant; Shan Chen 004; Pedro Moreira; Nikolaj Munch; Mingye Gao; Jackson Pond; Leo Anthony Celi; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (EMNLP (Findings), 2024)

Echocardiogram Vector Embeddings Via R3D Transformer for the Improvement of Ejection Fraction Estimation Instruments. - Somin Mindy Lee; Daniel Chung; Vasu Kaker; Yongyi Zhao; Irbaz B. Riaz; Sudheesha Perera; Prabhu Sasankan; George Tang; Po-Chih Kuo; Jacques Kpodonu; Brigitte Kazzi; Leo Anthony Celi (I2MTC, 2024)

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. - David S. Restrepo; Luis Filipe Nakayama; Robyn Gayle Dychiao; Chenwei Wu 006; Liam G. McCoy; Jose Carlo Artiaga; Marisa Cobanaj; João Matos; Jack Gallifant; Danielle S. Bitterman; Vincenz Ferrer; Yindalon Aphinyanaphongs; et al. (ICHI, 2024)

Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking. - Inês Martins; João Matos; Tiago Gonçalves; Leo A. Celi; An-Kwok Ian Wong; Jaime S. Cardoso 001 (AMAI@MICCAI, 2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. - Shan Chen 004; 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; et al. (NeurIPS, 2024)

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. - Kuan-Ting Kuo; Dana Moukheiber; Sebastián Cajas Ordonez; David S. Restrepo; Atika Rahman Paddo; Tsung-Yu Chen; Lama Moukheiber; Mira Moukheiber; Sulaiman Moukheiber; Saptarshi Purkayastha; Po-Chih Kuo; Leo Anthony Celi (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - 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; et al. (CoRR, 2024)

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. - 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 (CoRR, 2024)

Towards Clinical AI Fairness: Filling Gaps in the Puzzle. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; Jasmine Chiat Ling Ong; et al. (CoRR, 2024)

Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. - David S. Restrepo; Chenwei Wu 006; Sebastián Andrés Cajas; Luis Filipe Nakayama; Leo Anthony Celi; Diego M. López (CoRR, 2024)

Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? - Usman Iqbal; Leon Tsung-Ju Lee; Annisa Ristya Rahmanti; Leo Anthony Celi; Yu-Chuan (Jack) Li (J. Am. Medical Informatics Assoc., 2024)

Participant flow diagrams for health equity in AI. - Jacob G. Ellen; João Matos; Martin Viola; Jack Gallifant; Justin Quion; Leo Anthony Celi; Nebal S. Abu Hussein (J. Biomed. Informatics, 2024)

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations. - Khushboo Teotia; Yueran Jia; Naira Link Woite; Leo Anthony Celi; João Matos; Tristan Struja (J. Biomed. Informatics, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Federated learning is not a cure-all for data ethics. - Marieke A. R. Bak; Vince I. Madai; Leo Anthony Celi; Georgios Kaissis; Ronald Cornet; Menno Maris; Daniel Rueckert; Alena Buyx; Stuart McLennan (Nat. Mac. Intell., 2024)

Competing interests: digital health and indigenous data sovereignty. - Ashley Cordes; Marieke A. R. Bak; Mataroria P. Lyndon; Maui Hudson; Amelia Fiske; Leo Anthony Celi; Stuart McLennan (npj Digit. Medicine, 2024)

Ethical debates amidst flawed healthcare artificial intelligence metrics. - Jack Gallifant; Danielle S. Bitterman; Leo Anthony Celi; Judy W. Gichoya; João Matos; Liam G. McCoy; Robin L. Pierce (npj Digit. Medicine, 2024)

Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis. - 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; et al. (Int. J. Medical Informatics, 2024)

Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review. - Babajide O. Owosela; Rebecca S. Steinberg; Sharon L. Leslie; Leo A. Celi; Saptarshi Purkayastha; Rakesh Shiradkar; Janice M. Newsome; Judy W. Gichoya (Int. J. Medical Informatics, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance. - Hammaad Adam; Rene S. Bermea; Ming-Ying Yang; Leo Anthony Celi; Marzyeh Ghassemi (FAccT, 2025)

Predicting Pulmonary Function from Chest X-Rays Using Deep Learning: A DenseNet Approach to Estimating FEV1/FVC Z-Scores. - Somin Mindy Lee; Mohamed Abdalla 001; Bita Behrouzi; Soyoon Lee; Po-Chih Kuo; Han-Jay Shu; Kenneth Patrick Seastedt; Leo Anthony Celi; Benjamin Fine (I2MTC, 2025)

Representation Is All We Need: Performance and Fairness of Google X-ray Foundation Model Representations - A Preliminary Study. - Gebreyowhans H. Bahre; Hassan Hamidi; Andrew B. Sellergren; Leo Anthony Celi; Francesco Calimeri; Laleh Seyyed-Kalantari (ICHI, 2025)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)

Underdiagnosis Bias Mitigation With Expert Foundation Model's Representation. - Gebreyowhans H. Bahre; Hassan Hamidi; Andrew B. Sellergren; Alessandro Quarta; Leo Anthony Celi; Francesco Calimeri; Laleh Seyyed-Kalantari (IEEE Access, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuwei Guo; et al. (Medical Image Anal., 2025)

Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability. - Donnella S. Comeau; Danielle S. Bitterman; Leo Anthony Celi (npj Digit. Medicine, 2025)

A scoping review and evidence gap analysis of clinical AI fairness. - Mingxuan Liu; Yilin Ning; Salinelat Teixayavong; Xiaoxuan Liu; Mayli Mertens; Yuqing Shang; Xin Li 079; Di Miao; Jingchi Liao; Jie Xu 012; Daniel Shu Wei Ting; Lionel Tim-Ee Cheng; et al. (npj Digit. Medicine, 2025)

Representation Learning of Lab Values via Masked AutoEncoder. - David S. Restrepo; Chenwei Wu 006; Yueran Jia; Jaden K. Sun; Jack Gallifant; Catherine G. Bielick; Yugang Jia; Leo A. Celi (CoRR, 2025)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes. - Drago Plecko; Paul Secombe; Andrea Clarke; Amelia Fiske; Samarra Toby; Donisha Duff; David Pilcher; Leo Anthony Celi; Rinaldo Bellomo; Elias Bareinboim (CoRR, 2025)

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. - Amin Adibi; Xu Cao; Zongliang Ji; Jivat Neet Kaur; Winston Chen; Elizabeth Healey; Brighton Nuwagira; Wenqian Ye; Geoffrey Woollard; Maxwell A. Xu; Hejie Cui; Johnny Xi; et al. (CoRR, 2025)

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text. - Jiageng Wu; Bowen Gu; Ren Zhou; Kevin Xie; Douglas Snyder; Yixing Jiang; Valentina Carducci; Richard Wyss; Rishi J. Desai; Emily Alsentzer; Leo Anthony Celi; Adam Rodman; et al. (CoRR, 2025)

Performance Gains of LLMs With Humans in a World of LLMs Versus Humans. - Lucas McCullum; Pelagie Ami Agassi; Leo Anthony Celi; Daniel K. Ebner; Chrystinne Oliveira Fernandes; Rachel S. Hicklen; Mkliwa Koumbia; Lisa Soleymani Lehmann; David S. Restrepo (CoRR, 2025)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)

Critical Appraisal of Fairness Metrics in Clinical Predictive AI. - João Matos; Ben Van Calster; Leo Anthony Celi; Paula Dhiman; Judy Wawira Gichoya; Richard D. Riley; Chris Russell 001; Sara Khalid; Gary S. Collins (CoRR, 2025)

Red Teaming for Generative AI, Report on a Copyright-Focused Exercise Completed in an Academic Medical Center. - James Wen; Sahil S. Nalawade; Zhiwei Liang; Catherine Bielick; Marisa Ferrara Boston; Alexander Chowdhury; Adele Collin; Luigi De Angelis; Jacob Ellen; Heather Frase; Rodrigo R. Gameiro; Juan Manuel Gutierrez; et al. (CoRR, 2025)

Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis. - Rafi Al Attrach; Pedro Moreira; Rajna Fani; Renato Umeton; Leo Anthony Celi (CoRR, 2025)