Grand Rounds

In this section

Grand Rounds

2026

Jan. 14

"Uncovering Bias in Artificial Intelligence" by John Windle, MD.

Feb. 6

"Human-in-the-Loop: Reflections, Thoughts and Predictions for AI on the Practice of Medicine" by John Windle, MD.

Febr.11

"AI in the Clinical Training Environment" by Nathan Anderson, MD, Cory Rohlfsen, MD, Daniel Brailita, MD, and Alex Sorrick, MD.

March 11

“The Utility of RAGs in Medicine: Their Strengths, Pitfalls, and Possible Applications" by Noah Bastola.

2025

Dec. 10

"CardX: Revolutionizing Cardiovascular Outcomes Through a Common Data Standard" by Andy Iverson, MS and Matthew Kalscheur, MD.

April 9

"Applying Tested FHIR-based Modeling Practices for Cardiology" by May Terry, M.Sc, BSN, RN.

May 14

"Compassionate Code: Developing AI to help with the assessment of pain symptoms" by Marcia Y. Shade, PhD, RN.

Nov. 12

"Clinician Burden and Burnout: It’s NOT Just About the Workflow" by Barry Newman, MD, MBA.

2024

Jan. 10

“Why AI Will Not Save Health Care, and What to Do to Change That” by Anthony Chang, MD.

Feb. 14

"Using Real-World Data for Clinical Research: Examples From Rheumatoid Arthritis" by Bryant England, MD, PhD.

March 13

“Shared Living Providers Views on The Value of Clinical Documentation While Caring for Individuals with Intellectual and Developmental Disabilities" by Martina A. Clarke, PhD.

Oct. 9

"Vision for the Future of Semantic Interoperability" by Stan Huff, MD.

Nov. 13

"Promoting Complete and Consistent Reporting of AI in Medicine, Using the Checklist for AI in Medical Imaging" by Garrett Wirka.

Dec. 11

"Automated Derivation of Complication Occurrence After Pediatric Cardiothoracic Surgery" by Christian Haas, PhD.

2023

Jan. 11

"Initiatives in Introducing More Discrete and Identifiable Genetic Data into the Electronic Medical Record at Nebraska Medicine" by Allison Cushman-Vokoun, MD, PhD.

Feb. 8

"A Data Analytics Journey: Platform Development & Utilization" by Chris Maloney, MD, PhD.

March 8

"Quality Improvement at an Individual Clinician Level" by Robert Lobato, MD.

April 12

"Large Language Models and Neurological Mimicry for PhD Student Advising” by Justin Olmanson, PhD.

May 20

"Multimodal Machine Learning for Dementia Assessment" by Vijaya Kolachalama, PhD.

Nov. 8

"How to Deploy and Use SNOMED CT Encoded Cancer Pathology Data Sets (or Synoptic Reports)" by W. Scott Campbell, MBA, PhD.

Dec 13

"Health Research Opportunities Using Restricted Federal Datasets" by John Anderson, PhD.

2022

Jan. 12

"Building an AI Framework for Hypertension Diagnosis" by Ketemwabi Yves Shamavu, PhD.

Feb. 9

"Developing Good Clinical Data" by James McClay, MD.

Oct. 12

"Partitionable Computing and Security With Embedded ECG Processing for Wearable Sensor Net" by Dongming Peng, PhD.

Nov. 9

"Safe and Effective Artificial Intelligence: From Concept to Practice" by Kathleen Blake, MD, MPH.

2021

Sept. 8

"Data Makes the Difference: The Journey to 'Good Data'" by James Tcheng, MD.

Oct. 13

"A Roadmap to a More Useful and Usable Electronic Health Record" by John Windle, MD.

Nov. 10

"Improving Human Performance and Effectiveness in Health Care" by Pam Boyers, PhD.

Dec. 8

"AI in Radiology" by Justin Cramer, MD.