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Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.
Brown, Sherry-Ann; Sparapani, Rodney; Osinski, Kristen; Zhang, Jun; Blessing, Jeffrey; Cheng, Feixiong; Hamid, Abdulaziz; Berman, Generika; Lee, Kyla; BagheriMohamadiPour, Mehri; Lal, Jessica Castrillon; Kothari, Anai N; Caraballo, Pedro; Noseworthy, Peter; Johnson, Roger H; Hansen, Kathryn; Sun, Louise Y; Crotty, Bradley; Cheng, Yee Chung; Olson, Jessica.
  • Brown SA; Cardio-Oncology Program, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Sparapani R; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Osinski K; Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Zhang J; Clinical Science and Translational Institute, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Blessing J; Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Cheng F; Department of Computer Science, Milwaukee School of Engineering, USA.
  • Hamid A; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Berman G; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • Lee K; Medical College of Wisconsin, Milwaukee, WI, USA.
  • BagheriMohamadiPour M; Medical College of Wisconsin, Green Bay, WI, USA.
  • Lal JC; Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA.
  • Kothari AN; Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Caraballo P; Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Noseworthy P; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • Johnson RH; Division of Surgical Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Hansen K; Department of Medicine, Mayo Clinic, Rochester, MN, USA.
  • Sun LY; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Crotty B; Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Cheng YC; Green Bay, WI, USA.
  • Olson J; Division of Cardiac Anesthesiology, University of Ottawa Heart Institute and School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Am Heart J Plus ; 132022 Jan.
Article in English | MEDLINE | ID: covidwho-1663367
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: J.ahjo.2022.100094

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: J.ahjo.2022.100094