Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity

被引：17

作者：

Brown, Sherry-Ann ^{[1
,2
]}

Sparapani, Rodney ^{[3
]}

Osinski, Kristen ^{[4
]}

Zhang, Jun ^{[5
]}

Blessing, Jeffrey ^{[6
]}

Cheng, Feixiong ^{[7
,8
]}

Hamid, Abdulaziz ^{[9
]}

Berman, Generika ^{[10
]}

Lee, Kyla ^{[11
]}

BagheriMohamadiPour, Mehri ^{[5
]}

Lal, Jessica Castrillon ^{[7
,8
]}

Kothari, Anai N. ^{[12
]}

Caraballo, Pedro ^{[13
]}

Noseworthy, Peter ^{[2
]}

Johnson, Roger H. ^{[14
]}

Hansen, Kathryn

Sun, Louise Y. ^{[15
,16
]}

Crotty, Bradley ^{[17
]}

Cheng, Yee Chung ^{[14
]}

Olson, Jessica ^{[3
]}

机构：

[1] Med Coll Wisconsin, Cardiooncol Program, Div Cardiovasc Med, 8701 Watertown Plank Rd, Milwaukee, WI 53226 USA

[2] Mayo Clin, Dept Cardiovasc Med, Rochester, MN USA

[3] Med Coll Wisconsin, Inst Hlth & Equ, Milwaukee, WI USA

[4] Med Coll Wisconsin, Clin Sci & Translat Inst, Milwaukee, WI USA

[5] Univ Wisconsin Milwaukee, Dept Elect Engn & Comp Sci, Milwaukee, WI USA

[6] Milwaukee Sch Engn, Dept Comp Sci, Milwaukee, WI USA

[7] Cleveland Clin, Genom Med Inst, Lerner Res Inst, Cleveland, OH USA

[8] Case Western Reserve Univ, Cleveland Clin, Dept Mol Med, Lerner Coll Med, Cleveland, OH USA

[9] Med Coll Wisconsin, Milwaukee, WI USA

[10] Med Coll Wisconsin, Green Bay, WI USA

[11] Tulane Sch Publ Hlth & Trop Med, New Orleans, LA USA

[12] Med Coll Wisconsin, Div Surg Oncol, Milwaukee, WI USA

[13] Mayo Clin, Dept Med, Rochester, MN USA

[14] Med Coll Wisconsin, Canc Ctr, Milwaukee, WI USA

[15] Univ Ottawa, Heart Inst, Div Cardiac Anesthesiol, Ottawa, ON, Canada

[16] Univ Ottawa, Sch Epidemiol & Publ Hlth, Ottawa, ON, Canada

[17] Med Coll Wisconsin, Dept Med, Milwaukee, WI USA

来源：

AMERICAN HEART JOURNAL PLUS: CARDIOLOGY RESEARCH AND PRACTICE | 2022年 / 13卷

基金：

美国国家卫生研究院;

关键词：

Team science; Cardio-oncology; Cancer survivorship; Artificial intelligence; Informatics; SCIENTIFIC STATEMENT; CANCER; DISPARITIES; CARE;

D O I：

10.1016/j.ahjo.2022.100094

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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 similar to 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.

引用

页数：11

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