Early Diagnostic Prediction of Covid-19 using Gradient-Boosting Machine Model. - Satvik Tripathi (CoRR, 2021)

EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. - Ethan Jacob Moyer; Alisha Isabelle Augustin; Satvik Tripathi; Ansh Aashish Dholakia; Andy Nguyen; Isamu Mclean Isozaki; Daniel Schwartz; Edward Kim 006 (CoRR, 2022)

A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. - Edward Kim 006; Lucy Robinson; Isamu Isozaki; Noreen Robertson; Charles B. Cairns; Satvik Tripathi; Vicki Seyfert-Margolis (BIBM, 2023)

Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. - Satvik Tripathi; Alisha Isabelle Augustin; Farouk Dako; Edward Kim 006 (AI Ethics, 2023)

PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. - Satvik Tripathi; Liam Mutter; Meghana Muppuri; Suhani Dheer; Emiliano Garza-Frias; Komal Awan; Aakash Jha; Michael Dezube; Azadeh Tabari; Christopher P. Bridge; Dania Daye (CoRR, 2024)

Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. - Satvik Tripathi; Rithvik Sukumaran; Tessa S. Cook (J. Am. Medical Informatics Assoc., 2024)