Tyler J. Loftus

According to our database, Tyler J. Loftus authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting patient reported outcome measures: a scoping review for the artificial intelligence-guided patient preference predictor.

Jeremy A. Balch, A. Hayes Chatham, Philip K. W. Hong, Lauren Manganiello, Naveen Baskaran, Azra Bihorac, Benjamin Shickel, Ray E. Moseley, Tyler J. Loftus

Frontiers Artif. Intell., 2024

Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools.

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

CoRR, 2024

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications.

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

CoRR, 2024

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision.

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

CoRR, 2024

Federated learning model for predicting major postoperative complications.

Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

CoRR, 2024

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.

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

CoRR, 2024

2023

Commentary: Machine learning in clinical decision-making.

Amanda C. Filiberto, Daniel A. Donoho, Ira L. Leeds, Tyler J. Loftus

Frontiers Digit. Health, May, 2023

The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU).

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

CoRR, 2023

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.

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

CoRR, 2023

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit.

Yuanfang Ren, Tyler J. Loftus, Ziyuan Guan, Rayon Uddin, Benjamin Shickel, Carolina B. Maciel, Katharina Busl, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti

CoRR, 2023

2022

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.

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

J. Am. Medical Informatics Assoc., 2022

Phenotype clustering in health care: A narrative review for clinicians.

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

Frontiers Artif. Intell., 2022

Personalized decision-making for acute cholecystitis: Understanding surgeon judgment.

Amanda C. Filiberto, Philip A. Efron, Amanda Frantz, Azra Bihorac, Gilbert R. Upchurch Jr., Tyler J. Loftus

Frontiers Digit. Health, 2022

2021

Editorial: Machine Learning in Clinical Decision-Making.

Amanda C. Filiberto, Ira L. Leeds, Tyler J. Loftus

Frontiers Digit. Health, 2021

2020

Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit.

Yuanfang Ren, Tyler J. Loftus, Rahul Sai Kasula, Prudhvee Narasimha Sadha, Parisa Rashidi, Azra Bihorac, Tezcan Ozrazgat-Baslanti

CoRR, 2020

Application of Deep Interpolation Network for Clustering of Physiologic Time Series.

Yanjun Li, Yuanfang Ren, Tyler J. Loftus, Shounak Datta, Matthew Ruppert, Ziyuan Guan, Dapeng Oliver Wu, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac

CoRR, 2020

Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.

Benjamin Shickel, Tyler J. Loftus, Shounak Datta, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Parisa Rashidi

CoRR, 2020

2019

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery.

Tyler J. Loftus, Gilbert R. Upchurch Jr., Daniel Delitto, Parisa Rashidi, Azra Bihorac

Frontiers Artif. Intell., 2019

Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension.

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

CoRR, 2019

2018

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning.

Benjamin Shickel, Tyler J. Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi

CoRR, 2018