Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. - Malvika Pillai; Karthik Adapa (AMIA, 2019)

Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. - Karthik Adapa; Shiva K. Das; Prithima Reddy; Fei Yu 013; Carlton Moore; Lukasz Mazur (AMIA, 2021)

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. - Karthik Adapa; Malvika Pillai; Shiva K. Das; Prithima Mosaly; Lukasz Mazur (MedInfo, 2021)

Co-Design Approaches Involving Older Adults in the Development of Electronic Healthcare Tools: A Systematic Review. - Amy Cole; Karthik Adapa; Daniel R. Richardson; Lukasz M. Mazur (MedInfo, 2021)

Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance. - Meagan Foster; Karthik Adapa; Anna Soloway; Jeffrey Francki; Sara Stokes; Lukasz Mazur (MedInfo, 2021)

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. - Malvika Pillai; Karthik Adapa; John W. Shumway; John Dooley; Shiva K. Das; Bhishamjit S. Chera; Lukasz Mazur (MedInfo, 2021)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Lukasz Mazur (AMIA, 2022)

Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (19), 2022)

Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies. - Amy Cole; Amro Khasawneh; Karthik Adapa; Lukasz Mazur; Daniel R. Richardson (HCI (30), 2022)

Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings. - Meagan Foster; Karthik Adapa; Amy Cole; Amro Khasawneh; Anna Soloway; Jeffrey Francki; Nancy Havill; Lukasz Mazur (HCI (26), 2022)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Meagan Foster; Ian Kratzke; Nadia Charguia; Lukasz Mazur (ISMIS, 2022)

Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. - Karthik Adapa; Malvika Pillai; Meagan Foster; Nadia Charguia; Lukasz Mazur (MIE, 2022)

Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. - Elizabeth Kwong; Amy Cole; Amro Khasawneh; Carl Mhina; Lukasz Mazur; Karthik Adapa; Daniel R. Richardson (VAHC, 2022)

State of the evidence on simulation-based electronic health records training: A scoping review. - Joseph K. Nuamah; Karthik Adapa; Lukasz M. Mazur (Health Informatics J., 2022)

Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (24), 2023)

Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. - Malvika Pillai; Chao Chin Liu; Elizabeth Kwong; Ian Kratzke; Nadia Charguia; Lukasz Mazur; Karthik Adapa (J. Intell. Inf. Syst., 2024)

A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening. - Karthik Adapa; Ashu Gupta; Sandeep Singh; Hitinder Kaur; Abhinav Trikha; Ajoy Sharma; Kumar Rahul (npj Digit. Medicine, 2025)