Preparing a Clinical Support Model for Silent Mode in General Internal Medicine. - Bret Nestor; Liam G. McCoy; Amol Verma; Chloé Pou-Prom; Joshua Murray; Sebnem Kuzulugil; David Dai; Muhammad Mamdani; Anna Goldenberg; Marzyeh Ghassemi (MLHC, 2020)

Accuracy of the Preferred Language Field in the Electronic Health Records of Two Canadian Hospitals. - Akshay Rajaram; Daniel Thomas; Faten Sallam; Amol A. Verma; Shail Rawal (Appl. Clin. Inform., 2020)

Assessing the quality of clinical and administrative data extracted from hospitals: the General Medicine Inpatient Initiative (GEMINI) experience. - Amol A. Verma; Sachin V. Pasricha; Hae Young Jung; Vladyslav Kushnir; Denise Y. F. Mak; Radha Koppula; Yishan Guo; Janice L. Kwan; Lauren Lapointe-Shaw; Shail Rawal; Terence Tang; Adina Weinerman; et al. (J. Am. Medical Informatics Assoc., 2021)

From compute to care: Lessons learned from deploying an early warning system into clinical practice. - Chloé Pou-Prom; Joshua Murray; Sebnem Kuzulugil; Muhammad Mamdani; Amol A. Verma (Frontiers Digit. Health, 2022)

Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation. - Mucahit Cevik; Can Kavaklioglu; Fahad Razak; Amol Verma; Ayse Basar (CoRR, 2023)

FENDA-FL: Personalized Federated Learning on Heterogeneous Clinical Datasets. - Fatemeh Tavakoli; David B. Emerson; John Jewell; Amrit Krishnan; Yuchong Zhang 002; Amol Verma; Fahad Razak (CoRR, 2023)

A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets. - Fatemeh Tavakoli; David B. Emerson; Sana Ayromlou; John Taylor Jewell; Amrit Krishnan; Yuchong Zhang 002; Amol Verma; Fahad Razak (MLHC, 2024)

Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data. - Congyu Fang; Adam Dziedzic; Lin Zhang; Laura Oliva; Amol Verma; Fahad Razak; Nicolas Papernot; Bo Wang (CoRR, 2024)

Development and external validation of tools for categorizing diagnosis codes in international hospital data. - Sarah L. Malecki; Anne Loffler; Daniel Tamming; Niklas Dyrby Johansen; Tor Biering-Sørensen; Michael Fralick; Shahmir Sohail; Jessica Shi 004; Surain B. Roberts; Michael Colacci; Marwa Ismail; Fahad Razak; et al. (Int. J. Medical Informatics, 2024)

Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions. - Lillian Sung; Michael Brudno; Michael C. W. Caesar; Amol A. Verma; Brad Buchsbaum; Ravi Retnakaran; Vasily Giannakeas; Azadeh Kushki; Gary D. Bader; Helen Lasthiotakis; Muhammad Mamdani; Lisa Strug (Frontiers Digit. Health, 2025)

Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset. - Anne Fu; Trong Shen; Surain B. Roberts; Weihan Liu; Shruthi Vaidyanathan; Kayley-Jasmin Marchena-Romero; Yuen Yu Phyllis Lam; Kieran Shah; Denise Y. F. Mak; Stephen Chin; Seth J. Stern; Radha Koppula; et al. (J. Am. Medical Informatics Assoc., 2025)

Reliably detecting model failures in deployment without labels. - Viet Nguyen; Changjian Shui; Vijay Giri; Siddarth Arya; Amol Verma; Fahad Razak; Rahul G. Krishnan (CoRR, 2025)