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2020 – today
- 2024
[j2]Satvik Tripathi
, Rithvik Sukumaran, Tessa S. Cook:
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care. J. Am. Medical Informatics Assoc. 31(6): 1436-1440 (2024)- [i3]Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye:
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. CoRR abs/2403.00788 (2024) - 2023
- [j1]Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim:
Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. AI Ethics 3(4): 1193-1201 (2023) - [c1]Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis:
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. BIBM 2023: 4213-4219 - 2022
- [i2]Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim:
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR abs/2204.07066 (2022) - 2021
- [i1]Satvik Tripathi:
Early Diagnostic Prediction of Covid-19 using Gradient-Boosting Machine Model. CoRR abs/2110.09436 (2021)
Coauthor Index
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