Loren Laine

According to our database, Loren Laine authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System.

Niroop Channa Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffrè, Colleen E. Chan, Theo Saarinen, Allen Hsiao, Jasjeet S. Sekhon, Ambrose H. Wong, Leigh V. Evans, René F. Kizilcec, Loren Laine, Terika McCall, Dennis L. Shung

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.

Colleen E. Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René F. Kizilcec, Jasjeet S. Sekhon, Dennis L. Shung

CoRR, 2023

Auditing for Human Expertise.

Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.

Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Making Logic Learnable With Neural Networks.

Tobias Brudermueller, Dennis L. Shung, Loren Laine, Adrian J. Stanley, Stig B. Laursen, Harry R. Dalton, Jeffrey Ngu, Michael Schultz, Johannes Stegmaier, Smita Krishnaswamy

CoRR, 2020