Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data. - Sujay S. Kakarmath; Sara Bersche Golas; Jennifer Felsted; Takuma Shibahara; Hideo Aoki; Mika Takata; Ken Naono; Joseph C. Kvedar; Kamal Jethwani; Stephen Agboola (AMIA, 2018)

A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. - Sara Bersche Golas; Takuma Shibahara; Stephen Agboola; Hiroko Otaki; Jumpei Sato; Tatsuya Nakae; Toru Hisamitsu; Go Kojima; Jennifer Felsted; Sujay Kakarmath; Joseph C. Kvedar; Kamal Jethwani (BMC Medical Informatics Decis. Mak., 2018)

Best practices for authors of healthcare-related artificial intelligence manuscripts. - Sujay Kakarmath; Andre Esteva; Rima Arnaout; Hugh Harvey; Santosh Kumar 001; Evan D. Muse; Feng Dong; Leia Wedlund; Joseph C. Kvedar (npj Digit. Medicine, 2020)

Deploying clinical machine learning? Consider the following... - Charles Lu 001; Ken Chang; Praveer Singh; Stuart R. Pomerantz; Sean Doyle; Sujay Kakarmath; Christopher P. Bridge; Jayashree Kalpathy-Cramer (CoRR, 2021)

Predicting Cardiovascular Disease Risk using Photoplethysmography and Deep Learning. - Wei-Hung Weng; Sebastien Baur; Mayank Daswani; Christina Chen; Lauren Harrell; Sujay Kakarmath; Mariam Jabara; Babak Behsaz; Cory Y. McLean; Yossi Matias; Gregory S. Corrado; Shravya Shetty; et al. (CoRR, 2023)

HeAR - Health Acoustic Representations. - Sebastien Baur; Zaid Nabulsi; Wei-Hung Weng; Jake Garrison; Louis Blankemeier; Sam Fishman; Christina Chen; Sujay Kakarmath; Minyoi Maimbolwa; Nsala Sanjase; Brian Shuma; Yossi Matias; et al. (CoRR, 2024)

LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load. - Theo Guidroz; Diego Ardila; Jimmy Li; Adam Mansour; Paul Jhun; Nina Gonzalez; Xiang Ji; Mike Sanchez; Sujay Kakarmath; Mathias MJ Bellaiche; Miguel Ángel Garrido; Faruk Ahmed; et al. (CoRR, 2025)