| 2023 | HCI | 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, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur |
| 2022 | AMIA | An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. | Malvika Pillai, Karthik Adapa, Lukasz Mazur |
| 2022 | HCI | Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. | Karthik Adapa, Gregg Tracton, Prithima Mosaly, Fei Yu, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur |
| 2022 | HCI | 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 |
| 2022 | HCI | 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 |
| 2022 | ISMIS | An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. | Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur |
| 2021 | AMIA | 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, Carlton Moore, Lukasz Mazur |
| 2019 | AMIA | Augmenting Quality Assurance Measures in Radiation Oncology with Machine Learning. | Malvika Pillai, Karthik Adapa |