Tyler J. Loftus

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Medical Students

Top Venues

Frontiers Digit. Health

Frontiers Artif. Intell.

J. Am. Medical Informatics Assoc.

Publications

Yingbo Ma, Suraj Kolla, Zhenhong Hu, Dhruv Kaliraman, Victoria Nolan, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision. CoRR (2024)
Yingbo Ma, Suraj Kolla, Dhruv Kaliraman, Victoria Nolan, Zhenhong Hu, Ziyuan Guan, Yuanfang Ren, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Parisa Rashidi, Azra Bihorac, Benjamin Shickel
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records. CoRR (2024)
Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Federated learning model for predicting major postoperative complications. CoRR (2024)
Yingbo Ma, Yukyeong Song, Jeremy A. Balch, Yuanfang Ren, Divya Vellanki, Zhenhong Hu, Meghan Brennan, Suraj Kolla, Ziyuan Guan, Brooke Armfield, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Tyler J. Loftus, Azra Bihorac, Benjamin Shickel
Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools. CoRR (2024)
Yuanfang Ren, Chirayu Tripathi, Ziyuan Guan, Ruilin Zhu, Victoria Hougha, Yingbo Ma, Zhenhong Hu, Jeremy A. Balch, Tyler J. Loftus, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications. CoRR (2024)
Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU). CoRR (2023)
Yuanfang Ren, Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel, Katharina Busl, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit. CoRR (2023)
Amanda C. Filiberto, Daniel A. Donoho, Ira L. Leeds, Tyler J. Loftus
Commentary: Machine learning in clinical decision-making. Frontiers Digit. Health 5 (2023)
Yuanfang Ren, Yanjun Li, Tyler J. Loftus, Jeremy A. Balch, Kenneth L. Abbott, Shounak Datta, Matthew M. Ruppert, Ziyuan Guan, Benjamin Shickel, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures. CoRR (2023)
Tyler J. Loftus, Benjamin Shickel, Jeremy A. Balch, Patrick James Tighe, Kenneth L. Abbott, Brian Fazzone, Erik M. Anderson, Jared Rozowsky, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Scott A. Berceli, William R. Hogan, Philip A. Efron, J. Randall Moorman, Parisa Rashidi, Gilbert R. Upchurch Jr., Azra Bihorac
Phenotype clustering in health care: A narrative review for clinicians. Frontiers Artif. Intell. 5 (2022)
Amanda C. Filiberto, Philip A. Efron, Amanda Frantz, Azra Bihorac, Gilbert R. Upchurch Jr., Tyler J. Loftus
Personalized decision-making for acute cholecystitis: Understanding surgeon judgment. Frontiers Digit. Health 4 (2022)
Le Peng, Gaoxiang Luo, Andrew Walker, Zachary Zaiman, Emma K. Jones, Hemant Gupta, Kristopher Kersten, John L. Burns, Christopher A. Harle, Tanja Magoc, Benjamin Shickel, Scott D. Steenburg, Tyler J. Loftus, Genevieve B. Melton, Judy Wawira Gichoya, Ju Sun, Christopher J. Tignanelli
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals. J. Am. Medical Informatics Assoc. 30 (1) (2022)
Amanda C. Filiberto, Ira L. Leeds, Tyler J. Loftus
Editorial: Machine Learning in Clinical Decision-Making. Frontiers Digit. Health 3 (2021)
Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Application of Deep Interpolation Network for Clustering of Physiologic Time Series. CoRR (2020)
Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit. CoRR (2020)
Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications. CoRR (2020)
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert, Chris Giordano, Lasith Adhikari, Ying-Chih Peng, Yuanfang Ren, Benjamin Shickel, Zheng Feng, Gloria Lipori, Gilbert R. Upchurch Jr., Xiaolin Li, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension. CoRR (2019)
Tyler J. Loftus, Gilbert R. Upchurch Jr., Daniel Delitto, Parisa Rashidi, Azra Bihorac
Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery. Frontiers Artif. Intell. 2 (2019)
Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning. CoRR (2018)