Faculty Collaboration Database

Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity. Am Heart J Plus 2022 Jan;13

Date

04/19/2022

Pubmed ID

35434676

Pubmed Central ID

PMC9012235

DOI

10.1016/j.ahjo.2022.100094

Scopus ID

2-s2.0-85146432200 (requires institutional sign-in at Scopus site)   13 Citations

Abstract

STUDY OBJECTIVE: A multi-institutional interdisciplinary team was created to develop a research group focused on leveraging artificial intelligence and informatics for cardio-oncology patients. Cardio-oncology is an emerging medical field dedicated to prevention, screening, and management of adverse cardiovascular effects of cancer/ cancer therapies. Cardiovascular disease is a leading cause of death in cancer survivors. Cardiovascular risk in these patients is higher than in the general population. However, prediction and prevention of adverse cardiovascular events in individuals with a history of cancer/cancer treatment is challenging. Thus, establishing an interdisciplinary team to create cardiovascular risk stratification clinical decision aids for integration into electronic health records for oncology patients was considered crucial.

DESIGN/SETTING/PARTICIPANTS: Core team members from the Medical College of Wisconsin (MCW), University of Wisconsin-Milwaukee (UWM), and Milwaukee School of Engineering (MSOE), and additional members from Cleveland Clinic, Mayo Clinic, and other institutions have joined forces to apply high-performance computing in cardio-oncology.

RESULTS: The team is comprised of clinicians and researchers from relevant complementary and synergistic fields relevant to this work. The team has built an epidemiological cohort of ~5000 cancer survivors that will serve as a database for interdisciplinary multi-institutional artificial intelligence projects.

CONCLUSION: Lessons learned from establishing this team, as well as initial findings from the epidemiology cohort, are presented. Barriers have been broken down to form a multi-institutional interdisciplinary team for health informatics research in cardio-oncology. A database of cancer survivors has been created collaboratively by the team and provides initial insight into cardiovascular outcomes and comorbidities in this population.

Author List

Brown SA, Sparapani R, Osinski K, Zhang J, Blessing J, Cheng F, Hamid A, Berman G, Lee K, BagheriMohamadiPour M, Lal JC, Kothari AN, Caraballo P, Noseworthy P, Johnson RH, Hansen K, Sun LY, Crotty B, Cheng YC, Olson J, Cardio-Oncology Artificial Intelligence Informatics & Precision (CAIP) Research Team Investigators

Authors

Yee Chung Cheng MD Associate Professor in the Medicine department at Medical College of Wisconsin
Bradley H. Crotty MD Associate Professor in the Medicine department at Medical College of Wisconsin
Roger H. Johnson PhD Associate Professor in the Biophysics department at Medical College of Wisconsin
Anai N. Kothari MD Assistant Professor in the Surgery department at Medical College of Wisconsin
Jessica Olson PhD Director, Assistant Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Rodney Sparapani PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin