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  • Frontal

    • AI Showcase

    Automated and Accessible Prediction of Progression in Age-related Macular Degeneration (AMD): External Validation from the Perspectives of Methods, Populations, and Users

    • Qingyu Chen ;
    • Tiarnan Keenan ;
    • Alexis Allot ;
    • Michael Chiang ;
    • Michelle Gribar ;
    • Emily Chew ;
    • Zhiyong Lu

    Automated and Accessible Prediction of Progression in Age-related Macular Degeneration (AMD): External Validation from the Perspectives of Methods, Populations, and Users


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    Lessons Learned from Developing and Deploying a Real-Time Machine Learning Sepsis Prediction Model for Hematopoietic Cell Transplant Recipients

    • Zahra Eftekhari ;
    • Cameron Carlin ;
    • Janet Munu ;
    • Tushondra Thomas ;
    • Sanjeet Dadwal ;
    • Rvotaro Nakamura

    Lessons Learned from Developing and Deploying a Real-Time Machine Learning Sepsis Prediction Model for Hematopoietic Cell Transplant Recipients


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    A Holistic AI Evaluation Framework for Identifying Unrecognized Bias in Validated COVID-19 Prediction Models

    • Hossein Estiri ;
    • Zachary Strasser ;
    • Jeffery Klann ;
    • Kavishwar Wagholikar ;
    • Shawn Murphy,

    A Holistic AI Evaluation Framework for Identifying Unrecognized Bias in Validated COVID-19 Prediction Models


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    Emergency Department Wait Time Prediction based on Cyclical Features by Deep Neural Networks

    • Zhaohui Liang ;
    • Jimmy Xiangji Huang

    Emergency Department Wait Time Prediction based on Cyclical Features by Deep Neural Networks


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    Leveraging Explainable Machine Learning to Predict New Onset of ICU Delirium

    • Siru Liu ;
    • Allison McCoy ;
    • Joseph Schlesinger ;
    • Adam Wright

    Leveraging Explainable Machine Learning to Predict New Onset of ICU Delirium


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    AI-aided Genetic Diagnosis and Disease-gene Discovery: Scaling Up and Evaluation of an Automated Deep Phenotyping Algorithm on two External EHR Datasets

    • Ling Luo ;
    • Li Fang ;
    • Shankai Yan ;
    • Daniel Veltri ;
    • Andrew Oler ;
    • Rajarshi Ghosh ;
    • Morgan Similuk ;
    • Kay Wang ;
    • Zhiyong Lu

    AI-aided Genetic Diagnosis and Disease-gene Discovery: Scaling Up and Evaluation of an Automated Deep Phenotyping Algorithm on two External EHR Datasets


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    Technical Performance Evaluation of a Deep Learning-based Vancomycin Therapeutic Drug Monitoring Model

    • Bingyu Mao ;
    • Masayuki Nigo ;
    • Hong Thoai Nga Tran ;
    • Ziqian Xie ;
    • Han Feng ;
    • Laila Rasmy ;
    • Hongyu Miao ;
    • Degui Zhi

    Technical Performance Evaluation of a Deep Learning-based Vancomycin Therapeutic Drug Monitoring Model


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    Evaluating the Translational Aspects of AI Application in Healthcare

    • Piyush Mathur ;
    • Sandeep Reddy

    Evaluating the Translational Aspects of AI Application in Healthcare


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    A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma

    • Shauna Overgaard ;
    • Kevin Peterson ;
    • Chung Wi ;
    • Bhavani Singh Agnikula Kshatriya ;
    • Joshua Ohde ;
    • Tracey Brereton ;
    • Lu Zheng ;
    • Lauren Rost ;
    • Janet Zink ;
    • Amin Nikakhtar ;
    • Tara Pereira ;
    • Sunghwan Sohn ;
    • Lynnea Myers ;
    • Young Juhn

    A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma


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    Predictive Modeling of Periodontal Disease Risks Using Electronic Dental Records and Explainable Machine Learning

    • Jay Patel ;
    • Chang Su ;
    • Marisol Tellez ;
    • Jasim Albandar ;
    • Huanmei Wu

    Predictive Modeling of Periodontal Disease Risks Using Electronic Dental Records and Explainable Machine Learning


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    A Deep Understanding Approach for Case Identification and Autocoding System of Cancer Pathology Reports for a Population Cancer Registry

    • Jon Patrick

    A Deep Understanding Approach for Case Identification and Autocoding System of Cancer Pathology Reports for a Population Cancer Registry


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    Augmenting the Quality Assurance Process with Human-Centered Machine Learning in Radiation Oncology

    • Malvika Pillai ;
    • John Shumway ;
    • John Dooley ;
    • Karthik Adapa ;
    • Ross McGurk ;
    • Shiva Das ;
    • Bhishamjit Chera ;
    • Lukasz Mazur

    Augmenting the Quality Assurance Process with Human-Centered Machine Learning in Radiation Oncology


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    Towards an Optimal Policy of Mass Casualty Trauma Triage

    • Alexandrea Ramnarine ;
    • Nathaniel Bastian ;
    • Anne Stey

    Towards an Optimal Policy of Mass Casualty Trauma Triage


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    A Multi-aspect Technical Performance Evaluation of Deep Learning Based Model for Predicting COVID-19 Patients Outcomes on Admission

    • Laila Rasmy ;
    • Masayuki Nigo ;
    • Bijun Sai Kannadath ;
    • Ziqian Xie ;
    • Bingyu Mao ;
    • Angela Ross ;
    • Hua Xu ;
    • Degui Zhi

    A Multi-aspect Technical Performance Evaluation of Deep Learning Based Model for Predicting COVID-19 Patients Outcomes on Admission


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    Prospective Evaluation of a 90-day Mortality Prediction Model: From Silent Pilots to Real Time Deployment in the EHR

    • Lorenzo Rossi ;
    • Laura Roberts ;
    • Finly Zachariah

    Prospective Evaluation of a 90-day Mortality Prediction Model: From Silent Pilots to Real Time Deployment in the EHR


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    Comparing Multiple Implementable Predictive Models for Pediatric Clinical Deterioration

    • Sameh Saleh ;
    • Lingyun Shi ;
    • Gerald Shaeffer ;
    • Yujie Sun ;
    • Lusha Cao ;
    • Meghan Galligan ;
    • Brianna Weeks ;
    • Jennifer Jacob-Freese ;
    • Sanjiv Mehta ;
    • Nathaniel Sergay ;
    • Vinay Nadkarni ;
    • Robert Grundmeier ;
    • Christopher Bonafide ;
    • Robert Sutton ;
    • Fuchiang Tsui ;
    • Naveen Muthu

    Comparing Multiple Implementable Predictive Models for Pediatric Clinical Deterioration


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    Developing a Chest Radiography Generative Adversarial Network (CXR-GAN) for Medical Education Simulation

    • Parth Shah ;
    • Harshat Kumar ;
    • Eduardo Jose Mortani Barbosa, Jr. ;
    • Gary Weissman

    Developing a Chest Radiography Generative Adversarial Network (CXR-GAN) for Medical Education Simulation


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    I-WIN: an Intensive care Warning INdex System for Early Prediction of Clinical Deterioration and Intervention Using Data-driven Machine Learning Modeling of EHR Data

    • Fuchiang (Rich) Tsui ;
    • Victor Ruiz ;
    • Michael Goldsmith ;
    • Lingyun Shi ;
    • Matthew Scharf ;
    • Maryam Naim ;
    • Allan Simpao

    I-WIN: an Intensive care Warning INdex System for Early Prediction of Clinical Deterioration and Intervention Using Data-driven Machine Learning Modeling of EHR Data


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    Predicting Thirty-day Unplanned Cancer Readmissions using Machine Learning and Artificial Intelligence

    • Danny Wu ;
    • Hoang Vu ;
    • Tripura Vithala ;
    • Adam Alexander ;
    • Amy Roberto ;
    • James Lee ;
    • Thomas Herzog

    Predicting Thirty-day Unplanned Cancer Readmissions using Machine Learning and Artificial Intelligence


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    Evaluating Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings

    • Feliciano Yu, Jr. ;
    • Daniel Liu ;
    • Shengfan Zhang

    Evaluating Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings


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