Leah Reid

According to our database, Leah Reid authored at least 3 papers between 2024 and 2025.

Collaborative distances:

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

2025

Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches.

Tejasvi Sanjay Kamble, Hongtao Wang, Nicole Myers, Nickolas Littlefield, Leah Reid, Cynthia S. McCarthy, Young Ji Lee, Hongfang Liu, Liron Pantanowitz, Soheyla Amirian, Hooman H. Rashidi, Ahmad P. Tafti

Int. J. Medical Informatics, 2025

Explainable Feature Engineering in Health Data Science: Empirical Comparison of ChatGPT-4o and Classical Machine Learning Methods.

Behshid Behkamal, Amin Rezaei, Nickolas Littlefield, Samarth Bhardwaj, Leah Reid, Nicole Myers, Soheyla Amirian, Ahmad P. Tafti

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

2024

Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

Nickolas Littlefield, Soheyla Amirian, Jacob T. Biehl, Edward G. Andrews, Michael Kann, Nicole Myers, Leah Reid, Adolph J. Yates, Brian J. McGrory, Bambang Parmanto, Thorsten M. Seyler, Johannes F. Plate, Hooman H. Rashidi, Ahmad P. Tafti

J. Am. Medical Informatics Assoc., 2024